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Title: GEN AI Architect Location: Edison, NJ / New York, NY Duration: Full Time Job Description: Must Have Technical / Functional Skills • Architecture-level expertise in Python for enterprise GenAI solutions, • Design and implementation of large-scale GenAI platforms, • API and microservices architecture using FastAPI / Flask, • Deep experience with LLMs, Prompt Engineering, RAG, and Agentic AI, • Hands-on experience with LangChain, LlamaIndex, Hugging Face, • AI-enabled data pipelines and workflows, • Model lifecycle management, observability, and monitoring, • Responsible AI, data privacy, security, and compliance Good to Have Skills • Gemini LLM and multi-LLM orchestration, • ML frameworks: PyTorch, TensorFlow, Keras, • NLP and vector databases, • Cloud-native AI (AWS / Azure / GCP), • Docker, Kubernetes, • Presales and client-facing solutioning Roles & Responsibilities • Define end-to-end GenAI architecture, • Lead solution design and technical strategy, • Architect RAG and Agentic AI solutions, • Govern architecture standards and best practices, • Mentor engineers and review designs and code

Job Title: Data Scientist Duration: 6 Months to hire Location: Newark, NJ Job description: As a Data Scientist supporting U.S. Businesses (USB) Service, Data and Technology organization, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to design, build, and deploy production-grade AI capabilities for our businesses. The role requires a rare combination of sophisticated AI engineering expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis at least 3 days per week. Here is what you can expect in a typical day: • Responsible for the hands-on design and development of production-grade GenAI and Agentic solutions comprising the portfolio developed by the Data Science Lead and the technical requirements specified. Perform hands-on context engineering, agent design, model integration, and end-to-end AI system development., • Design and build AI agent harnesses, orchestration frameworks, and context engineering pipelines; develop and integrate Model Context Protocol (MCP) servers to expose tools, data sources, and enterprise APIs to AI agents in a standardized, secure manner; and implement Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Write production-level code and partner with machine learning engineers and platform teams to deliver AI solutions from development through production following the full AI lifecycle., • Continuously research new methods for problem solution, including new algorithms, agentic frameworks, context management techniques, and AI application patterns., • Partner with machine learning engineers to productionize AI solutions. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. The Skills and expertise you bring: • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines, • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges, • Excellent problem solving, communication and collaboration skills Applied experience with several of the following: • AI Engineering & Production AI Lifecycle: Ability to design, build, and deliver AI systems end-to-end in a production environment. Deep understanding of the AI lifecycle — from problem framing and data preparation through model development, evaluation, deployment, monitoring, and continuous improvement. Experience with CI/CD for AI, model versioning, observability, and responsible AI practices., • Generative AI, Agentic & Context Engineering: Expertise in modern Generative AI and NLP technologies including LLMs, RAG, LangChain, LangGraph, vector databases, etc. Skilled in context engineering — prompt engineering, dynamic context construction, context window management, and structured output design. Experience building AI agent harnesses and orchestration frameworks including scaffolding, tool registries, and evaluation loops. Hands-on experience designing MCP servers to expose enterprise tools and APIs to AI agents, and implementing Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models, • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL

Job DescriptionAbout Us Here at Vector Media, we lead the forefront of innovation in transit advertising. Since our inception in 1998, Vector Media has been at the cutting edge of transforming transit advertising into a dynamic arena for brand engagement and efficient reach to millions of Americans. Headquartered in NYC, our reach extends across the nation with offices and assets in over 50 markets. Vector Media started with a vision to break the traditional OOH advertising mold by elevating transit advertising into a creative and data-informed medium. From city streets to transit systems, from digital billboards to unique experiential activations, our campaigns capture attention and create memorable interactions. At Vector Media, we believe in the power of OOH advertising to not just reach people, but to move them. Our work covers a wide range of needs, from local businesses to global brands, each with its own story of impact and engagement. Our commitment to excellence and innovation has earned us trust and accolades within the industry and from our clients. In a world where advertising spaces are cluttered, Vector Media stands out by making every message count. What We Value • Accountability: Taking ownership of our actions, learning from mistakes, and earning trust through responsibility., • Growth: Supporting personal and professional development, knowing that when our team members thrive, the company thrives., • Excellence: Always striving for the best possible results and never settling for “good enough”. Pay Range Details: $24.04/hour - $28.85/hour (equivalent to $50,000- $60,000 annual salary, assuming a 40-hour work week). The salary range is subject to change and may be amended in the future. Experience, education, skills, and other factors are considered when determining the salary offered. Who You Are • A smart, ambitious, self-starter who can balance strategic thinking with tactical execution mindset., • Well versed in employing multi-channel marketing tactics to move the client through the sales funnel., • A vertical expert who will own the end-to-end insights for strategic client and brand engagement., • Proactive and ever ready to take on and lead projects., • Able to adapt to change and thrive in an environment where change is the norm., • Data driven, not afraid to get your hands dirty, and are ready to help by deep diving into reporting and metrics anytime., • Collaborative yet independent and love working in a collaborative environment where you can take independent decisions.What You’ll Bring, • 1-3 years media planning experience (any media format) with knowledge of media math., • Exemplary written communications skills, including the ability to succinctly articulate marketing/media concepts and the ability to write in a creative, clever manner., • Advanced computer skills required, including proficiency in PowerPoint & Excel, internet research, social media and CRM programs like Salesforce and Tableau., • Project management capabilities, including attention to detail involving projects with multiple stakeholders., • The desire for a career in sales, partnerships, or marketing., • High energy, a positive attitude and a great work ethic., • Undergraduate degree in Business, Sales, Marketing, Communications, or equivalent in related fields.What You’ll Do, • Research target accounts and prepare in-depth research documents with the goal of helping sales directors obtain appointments with senior decision makers at Fortune 1000 companies., • Ensure that the sales team has the required materials and support information for all prospecting efforts and client/agency meetings. Includes: brainstorming and creating custom media plans and decks, requesting accurate research, organizing creative mockups from the design team, checking available inventory, coordinating tech team involvement, etc., • Compile and analyze qualitative/quantitative data; synthesize insights into standalone sales/marketing materials that communicate market research, estimated delivery, campaign delivery, etc., • Collaborate with Sales Directors to assist with sales and retention efforts including servicing existing and new clients and accounts; Organize the planning and implementation of sales production projects, tracking all phases of campaigns., • Operate as a core member of the team building a scalable U.S. function through continuous measurement and employment of best practices. Powered by JazzHR bdUPgsCLAA

Job Description: We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large. About the Role: We are looking for a Senior Manager, Product Management to lead the product function for Wiley's Clinical Outcome Assessment (COA) platform suite, part of our AI and Data Analytics organisation. The role owns the multi-product roadmap for our COA platform portfolio, including the foundational COA database that holds Wiley's clinical measurement intellectual property, and a suite of customer-facing platform products that surface, score, and contextualise that content for pharmaceutical and CRO customers. The role manages an offshore engineering team and works closely with our scientific affairs, commercial, and AI specialists to translate clinical and customer needs into deliverable product. The role reports to the Senior Director, Clinical Outcome Assessments. Job Responsibilities * Own and maintain the multi-product roadmap for the COA platform suite, sequenced against commercial milestones and supported by clear prioritisation criteria. * Manage an offshore engineering team, including hiring, performance management, capability development, and the day-to-day operating model across time zones. * Lead end-to-end product delivery, from discovery and definition through release, instrumentation, and iteration based on customer feedback and product analytics. * Partner with engineering on architecture, technology choices, and AI-enabled features, including LLM integration, retrieval, and content tooling. * Work alongside scientific affairs, commercial, and the broader AI and Data Analytics product community to ensure platform decisions are clinically sound, commercially relevant, and aligned with shared standards. * Own data integrity, intellectual property handling, and data privacy controls across the platform suite, including alignment with regulatory expectations for clinical measurement. Required Qualifications * Bachelor's degree or equivalent professional experience. * Significant product management experience on B2B software platforms, data products, or specialist enterprise applications. * Demonstrated track record managing engineering teams, including offshore or distributed teams. * Experience owning a multi-product roadmap and delivering against committed milestones. * Direct experience shipping AI-enabled product features, such as LLM integration, retrieval-based applications, or other generative or predictive AI capabilities. * Working knowledge of AI and machine learning tooling, including vector databases and LLM-based product patterns. * Sound judgement on where AI capability genuinely improves a product versus where it adds risk or complexity without proportionate value. * Strong technical depth: comfortable with architecture conversations, build versus buy decisions, and technical trade-offs. * Strong stakeholder management and the ability to communicate complex product and technical concepts to non-technical audiences. Preferred Qualifications * Postgraduate degree in computer science, life sciences, health informatics, or business. * Direct experience in clinical research, healthcare data, life sciences, or pharmaceutical platforms. * Experience working with Clinical Outcome Assessment (COA) tools, electronic COA (eCOA), or real world evidence. * Familiarity with healthcare data standards (FHIR, HL7, CDISC) and clinical data structures. * Familiarity with model evaluation, prompt engineering, and AI safety considerations in product contexts. * Understanding of copyright and intellectual property frameworks for clinical content. * Experience working in regulated data environments (clinical, healthcare, pharmaceutical). We power infinite possibilities. For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing-creating impact that reaches everywhere. We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives. Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything. Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact for assistance. We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow. We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles either in the United Kingdom, Canada or USA. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies. When applying, please attach your resume/CV to be considered. Salary Range: 58,400 GBP to 84,333 GBP#LI-CW1 Job Posting Title: Senior Manager, Product Management Location: London (Fitzroy Square), GBR

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Senior Staff Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 12+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$288,000—$360,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: Elastic, the Search AI company, is looking for a high-energy Enterprise Account Executive to drive net-new revenue and expansion within strategic Enterprise accounts. You'll be the owner of a defined territory where you'll build your own pipeline, tell the Elastic Search AI story, and close complex, multi-stakeholder deals in a consumption-based model. This role sits at the intersection of sales execution, technical fluency, and cross-functional collaboration-and is critical to our growth in the Enterprise segment. What You Will Be Doing: • Own your territory & build pipeline: Develop and execute a proactive outbound cadence (email, call, social) that generates 50% of your booked opportunities., • Deep discovery & qualification: Uncover pain, business impact, budget, and decision criteria using frameworks like MEDDPICC so you chase only the highest-confidence deals., • Value storytelling & demos: Craft and deliver tailored narratives and live demos that map Elastic's Search, Observability, and Security capabilities to measurable business outcomes., • Mutual deal strategy & forecast accuracy: Collaborate with customers to build formal close plans and keep your CRM up-to-date, maintaining 90% forecast accuracy within 10%., • Executive negotiation & closing: Lead high-stakes contract and pricing discussions-defend your value, structure give/get trades, and land multi-year consumption commitments., • Domain & cloud acumen: Position Elastic as the Search AI platform of choice by speaking fluently about cloud economics, usage-based pricing, and modern data architectures., • Cross-functional partnership: Work hand-in-glove with Solutions Architects, Customer Success, Marketing, and RevOps to accelerate deals and drive exceptional customer outcomes. What You Bring: • Proven SaaS quota-carrying success: 5+ years closing complex Enterprise deals, consistently overachieving targets in a consumption-based or usage-model environment., • Expert discovery & qualification skills: Demonstrated ability to apply MEDDPICC or equivalent frameworks to drive disciplined pipeline and eliminate low-probability deals., • Compelling value storytellers: Track record of delivering executive-level presentations and demos that tie product capabilities to real dollars saved, revenue gained, or risk mitigated., • Strong negotiation chops: History of landing multi-year, high-ACV contracts while protecting margin and securing executive stakeholder buy-in., • Technical & cloud fluency: Comfortable discussing a broad range of technical topics including observability, security, vector/traditional search, and cloud cost optimization., • Collaborative mindset & coachability: A learner who partners effectively with internal teams, incorporates feedback, and embodies Elastic's values of community and openness., • Open Source enthusiasm: Genuine appreciation for open-source communities and the Elastic model-bonus if you've sold or advocated in an OSS context. Bonus Points: • Prior experience at an open-source or developer-centric infrastructure company., • Familiarity with observability (logs, metrics, traces) or security analytics (SIEM/XDR) use cases. If you're driven to build your own pipeline, master complex deal cycles, and help customers unlock the power of Search AI, we'd love to talk. Apply today! Additional Information - We Take Care of Our People: As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do. • Competitive pay based on the work you do here and not your previous salary, • Health coverage for you and your family in many locations, • Ability to craft your calendar with flexible locations and schedules for many roles, • Generous number of vacation days each year, • Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service, • Up to 40 hours each year to use toward volunteer projects you love, • Embracing parenthood with a minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email ___. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws and can view the following posters linked below: Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries' export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see ___ for our Privacy Statement. Compensation for this role is in the form of base salary plus a variable component, that together comprise the On-Target Earnings (OTE). On-Target Earnings (OTE) are based on a 50/50 pay mix (base salary / target variable). The typical starting OTE range for new hires in this role is listed below. This range represents the lowest to highest OTE we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's position within the OTE range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $113,300-$179,100 USD The typical starting Target Variable range for this role is: $113,200-$179,100 USD The typical starting On-Target Earnings (OTE) range for this role is: $226,500-$358,300 USD

We are collaborating closely with a team of machine learning engineers and backend architects to develop the next generation of search infrastructure at Reddit, enabling a variety of search functionalities, including lexical and vector search.

NoSQL (OpenSearch, vector DB), Columnar data stores etc. Python, Golang, PostgreSQL (RDS), OpenSearch, Redshift, EMR, Spark, Docker, Lambda, AWS technologies.

AI Platform Engineer, AI Engineer. Hands-on experience integrating AI/ML services and managing AI API dependencies (OpenAI, Claude, LangChain, vector databases). As an AI Software Engineer, you’ll spend your days architecting and building AI-powered systems that leverage foundational models like O

Zilliz is a fast-growing startup developing the industry’s leading .Founded by the engineers behind Milvus, the world’s most popular .On a mission to democratize AI, Zilliz is committed to simplifying data management for AI applications and making vector databases accessible to every organizat

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Staff Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 8+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000—$315,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 4+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$180,000—$225,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Business Area: Professional Services Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. As an AI Solutions Engineer within Cloudera's Public Sector Consulting team, you will be the technical architect and execution lead for agencies moving from "data chaos" to "agentic autonomy." You will work directly with government organizations to design, build, and deploy mission-critical AI applications on the Cloudera Data Platform (CDP). This is not a "theoretical" role. You will be on the front lines of Phase 2 and Phase 3 adoption journeys-helping customers clean legacy data silos, select the right model architectures, and industrialize MLOps pipelines in highly secure, often air-gapped or hybrid-cloud environments. As the AI Solutions Engineer you will: 1. AI Model Strategy, Selection and Implementation * Evaluate and select optimal model architectures (LLMs, SLMs, or traditional ML) based on mission requirements, considering tradeoffs between accuracy, latency, and cost. * Guide customers on "Build vs. Buy vs. Fine-tune" decisions, prioritizing open-source models (Llama, Mistral, Falcon) that can run securely within a sovereign data perimeter. * Experience building Agentic Workflows (AI agents that can execute API calls and multi-step tasks). 2. End-to-End Data Engineering * Design and implement robust data pipelines within CDP to transform "messy" legacy data into AI-ready formats. * Develop and optimize Vector Databases and Retrieval-Augmented Generation (RAG) architectures to ground AI responses in verified agency facts. * Build Data pipelines with Spark, Nifi, Kafka or other ETL tools. 3. Optimization & Performance Tuning * Optimize model inference for production environments using quantization, pruning, and hardware acceleration (NVIDIA GPU orchestration). * Implement LLMOps to monitor model performance, detect hallucination rates, and manage model versioning and drift. 4. Public Sector Advisory & Governance * Collaborate with the customer's AI Center of Excellence (CoE) to establish automated guardrails for ethics, bias mitigation, and FedRAMP/IL5 compliance. * Translate complex technical AI concepts into mission-value briefings for GS-level stakeholders and agency leadership. We're excited about you if you have: (Minimum Qualifications): * Experience: 5+ years in Data Engineering, Machine Learning, or Software Engineering, with at least 2 years focused on Generative AI or Deep Learning. * Technical Stack: Expertise in Python and deep learning frameworks (PyTorch, TensorFlow, Hugging Face). * Hands-on experience with Cloudera (CDP), Spark, or similar big data ecosystems. * Proficiency in orchestration tools like LangChain, LlamaIndex, or Haystack. * Experience developing visual data representations and dashboards (Django, React, or Angular) * Experience using a compiled programming language, preferably one that runs on the JVM (Java, Scala, etc) * Data Expertise: Proven ability to build ETL/ELT pipelines and work with both SQL and NoSQL/Vector databases (e.g., Pinecone, Milvus, or PGVector). * Public Sector Knowledge: Understanding of government security frameworks (NIST AI RMF, FedRAMP, SRGs, STIGs). * Active Top Secret Security Clearance You may also have: (Preferred Qualifications) * Experience fine-tuning of foundational models using techniques such as PEFT (Parameter-Efficient Fine-Tuning) and LoRA to adapt AI to domain-specific government nomenclature. * Experience training of specialized models on proprietary datasets while ensuring strict adherence to data privacy and sensitivity labels. * Experience installing and operating Cloudera Data Platform * Experience installing and operating Kubernetes * Experience in Air-Gapped deployments and managing AI workloads in disconnected environments. * Advanced degree (MS or PhD) in Computer Science, Data Science, or a related field. * Active Counterintelligence (CI) or Full Scope (FS) Poly is highly preferred. This role is not eligible for immigration sponsorship. What you can expect from us: * Generous PTO Policy * Support work life balance with ___ * Flexible WFH Policy * Mental & Physical Wellness programs * Phone and Internet Reimbursement program * Access to Continued Career Development * Comprehensive Benefits and Competitive Packages * * Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

We are hiring an AI Full Stack Engineer on behalf of our Client, a fast-growing marketing agency based in the United States, specializing in the Amazon ecosystem. They’ve built an AI-native internal platform that powers every aspect of our Amazon brand management business. AI isn’t a feature — it’s the backbone. • LLMs classify and respond to inbound communications, • AI generates pre-call intelligence briefs from raw enrichment data, • A RAG system feeds context into every generation pipeline, • 17+ background services, • 130+ frontend pages, • 214 backend services, • 184 database tables, • Classify inbound messages by category, intent, urgency, and tone, • Generate contextual responses using enrichment data, • Implement human approval gates, • Transform raw enrichment data into structured pre-call briefs, • Generate: background, pain hypotheses, talking points, rapport hooks, • Vector database with embeddings, • Markdown-aware chunking, • Async ingestion workers, • Semantic search API, • Process RSS feeds, social media, video platforms, and search trends, • Generate reports, forecasts, and content drafts, • Run autonomously on scheduled jobs, • Multi-agent system (outline → audit → generate), • Binary quality gates (PASS/FAIL with citations), • Supports multiple content formats, • Enrich leads with product data and market insights, • AI scoring and qualification grading, • Automated audit reports, • Slack operations, • Scheduling workflows, • Email triage and follow-ups, • Build AI pipelines for client performance insights, • Improve RAG retrieval quality, • Add tool use for real-time data in LLM pipelines, • Debug classification errors in AI systems, • Optimize LLM costs and performance, • Build dashboards for AI metrics and usage, • Add observability to pipelines, • Expand content quality systems, • Production LLM experience (Claude/OpenAI in real systems), • RAG system experience (embeddings, retrieval, chunking, context handling), • 3+ years TypeScript / Node.js, • Strong React skills, • PostgreSQL (queries, migrations, indexing), • API integrations (REST, OAuth, webhooks), • Multi-agent LLM systems, • Anthropic Claude expertise, • Vector search / embeddings, • Slack API experience, • Ad platform APIs (Meta, Google, LinkedIn), • LLM observability (cost, tracing, monitoring), • Amazon / eCommerce experience, • AI-assisted dev tools (Cursor, Claude Code, etc.), • Competitive salary based on experience, • High-impact role with strong ownership, • Opportunity to scale cutting-edge AI systems to world-class level

___ is transforming how companies discover, evaluate, and maximize the impact of events. Event marketers are the driving force behind pipeline and brand — yet events remain one of the least optimized and most opaque marketing channels. Vendelux changes that. We provide the system of record for event marketing, giving teams the data and insights they need to make smarter, more strategic decisions. Our AI-powered platform delivers proprietary insights across 250,000+ events, helping high-growth companies identify where their ideal customers will be, maximize ROI, and turn events into a scalable growth channel. Customers often describe Vendelux as an event marketer’s dream. A key part of this is our growing network of event organizer partnerships — where organizers share first-party attendee and sponsorship data, and in return gain access to valuable market insights. In addition, Vendelux Meetings helps customers turn event insights into action — using AI to identify high-value attendees and automatically book 1:1 meetings with the right prospects at conferences. This allows teams to maximize pipeline generation and make every event materially more impactful. Founded in 2021, Vendelux is a Series A SaaS company backed by leading investors including FirstMark, with a recent $14M round. Our team brings experience from companies like Bain, ZoomInfo, Shutterstock, Compass, Forter, Airbnb, and more. About the Role AI is no longer an engineering story at Vendelux. It's a company story. The way our sales team prospects, the way product researches, the way ops runs processes, the way data answers questions. All of it is changing fast. We're looking for a Staff AI Enablement Engineer to be the technical force behind that change. This role sits at the intersection of deep AI infrastructure and cross-functional impact. You'll build the MCP servers, agent pipelines, context frameworks, and orchestration layers that make AI genuinely useful across every team - not just for the engineers who've already figured it out on their own. The work is hands-on and technical. The impact is company-wide. If you're the person at your current company who got everyone on Claude Code, wired up MCP servers for internal tools, and is already running agents 24/7, you might be exactly who we're looking for. What You'll Do Build the shared AI infrastructure layer * Design, build, and maintain MCP servers that connect our internal systems like Github, Snowflake, Linear, Notion, Slack, and others, to agents running across every function * Establish and own our context engineering standards: ___ / ___ conventions, shared context/ directories, architecture docs that make our agents deeply aware of how Vendelux works * Build the memory and persistence layer for long-running agents: session continuity, proactive scheduling, cross-session context * Own orchestration infrastructure for multi-agent workflows: coordination, sub-agent spawning, token budgets, permission boundaries * Maintain codebase health as the system scales: shared component libraries, automated quality gates, fragmentation checks, doc validation in the PR pipeline Drive adoption across every function * Partner with sales, ops, product, marketing, legal, and data teams to identify where AI can fundamentally change how a team works and build the agents that make it happen * Get every team to their “aha” moment fast: preconfigured environments, pre-connected tools, skills they can run immediately without debugging * Build and grow a skills marketplace where anyone can package a workflow and share it company-wide so one person’s breakthrough becomes everyone’s superpower * Create visibility and healthy competition around AI usage: leaderboards, showcases, Slack channels, all-hands demos that make building contagious * Identify force multipliers on every team (the people who get it early) and give them the platform and resources to bring their teams along Build purpose-built agents for non-engineering teams * Each agent isn’t a chatbot. It’s a composition: the right MCP integrations, the right document access, the right memory system, the right workflows assembled into something that genuinely serves a function’s real work * Work closely with domain experts to turn institutional knowledge into something an agent can act on; the best agents are co-created, not handed down * Given Vendelux’s focus on event intelligence and pipeline, there’s particular leverage in agents that understand our data models, account scoring, and sales workflows Own the hard infrastructure problems * Manage the access vs. safety tension: permissions scoping, token budgets, rate limiting, observability dashboards — guardrails that enable rather than block * Maintain reliability across agent infrastructure as the system grows: graceful degradation, fallback models, cost tracking * Evaluate frontier models, new MCP tooling, emerging agent frameworks, and integrate what's worth integrating before competitors catch up What We're Looking For Technical depth is the baseline. The ability to move others up the proficiency curve is what makes you exceptional in this role. Required * Strong software engineering fundamentals. You're building real infrastructure that teams depend on, not configuring existing tools * Deep hands-on experience with frontier AI agents (Claude Code, Codex, or equivalent) and the context engineering that makes them actually useful in complex codebases * Practical, production experience building with LLM APIs: tool use, multi-turn state, system prompt architecture, structured outputs, multi-agent orchestration * Hands-on experience with MCP or similar integration frameworks. You've connected agents to real production systems, not just toy examples * Experience designing for non-technical users: the agent that works for a software engineer is not the same as the one that works for a sales rep or an ops manager * Comfort working cross-functionally. You'll spend as much time talking to a head of sales or a product lead as you will writing code Nice to Have * Background in platform engineering, developer tooling, or data engineering * Experience with proactive/scheduled agent systems (not just request-response) * Familiarity with vector stores, RAG pipelines, or knowledge graph approaches for agent context * Experience with CI/CD automation involving AI agents * Exposure to B2B SaaS data models, CRM/MAP integrations, or event/attendee data What “Staff” Means Here Staff isn't a senior role with a better title. It means: * You identify the highest-leverage problems across the company without being told what they are * You define the technical direction for AI infrastructure and hold the standard across teams * You operate with wide autonomy and are accountable for outcomes, not just execution * You bring other engineers along: mentoring, documenting, setting patterns others can follow Why This Role, Why Now The gap between AI-native teams and everyone else is widening fast. At Vendelux, we're at an inflection point: our data assets — event intelligence, attendee behavior, account signals — are exactly the kind of domain-specific context that makes AI agents genuinely powerful rather than generic. The AI Enablement Engineer's job is to make that advantage real across every team. To make intelligence self-service, the same way DevOps made infrastructure self-service. One afternoon of setup, connecting the right agent to the right data and deploying it where a team already works, creates a permanent productivity gain that compounds. We're looking for the person who already knows this and wants the scope to do it at scale. Not all candidates will check all of the requirements listed above and that’s ok! We are open to great people from non-traditional backgrounds. Vendelux is proud to be an equal opportunity workplace. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.

If you would consider it would be fun to create a hybrid Vector/Graph index that beats the state of the art on a RAG benchmark, to deliver a working AI pipeline to a client in a critical industry, or to pre-process datasets in a way which would boost LLM accuracy in inference & training - this is th

Company OverviewResolveGrid is a recently funded startup building a next-generation SaaS platform focused on solving complex, real-world problems using modern software and AI. We are assembling a small, highly talented AI-first engineering team where engineers have meaningful ownership and influence from day one. Role OverviewWe are seeking a Founding Senior Full Stack Software Engineer with 10+ years of professional experience to help design, build, and scale ResolveGrid’s core SaaS platform. This is a hands-on role for someone who thrives in early-stage environments, takes end-to-end ownership, and actively uses AI as a core part of their development workflow. You will work across the entire stack—backend, frontend, and AI-powered capabilities—while helping define the technical direction and engineering culture of the company. Candidates must be based in Orange County, CA or willing to relocate and commute regularly to Irvine. • Act as a founding engineer, shaping architecture, engineering standards, and best practices., • Design, build, and maintain end-to-end features across the ResolveGrid SaaS platform., • Develop and operate backend services using Node.js with TypeScript/JavaScript., • Build and evolve frontend application flows using modern JavaScript/TypeScript frameworks., • Write and maintain Python services and supporting tools., • Design and implement AI-powered features, including: Chat agents and autonomous agents, Context management and memory strategies, Prompt engineering, evaluation, and iteration, and Agent workflows and orchestration., • Use AI coding agents (e.g., Cursor, Windsurf, Claude) as a first-class part of daily development., • Make architectural decisions with scalability, reliability, and maintainability in mind., • Collaborate closely with product and leadership on roadmap and execution., • Debug production issues and continuously improve system performance and reliability., • Mentor and help grow the engineering team over time., • 7+ years of professional software engineering experience., • Strong expertise in TypeScript/JavaScript and Node.js., • Proven experience building and operating SaaS platforms., • Solid production experience with Python., • Hands-on experience building AI-driven systems, including LLM-based chat or agent workflows., • Practical knowledge of prompt engineering, context/window management, and agent design patterns., • Demonstrated experience using AI coding agents (e.g., Cursor, Windsurf, Claude)., • Experience deploying and operating systems on AWS, GCP, or Azure., • Strong understanding of system design, APIs, and distributed systems., • Comfortable operating with ambiguity and high ownership in an early-stage startup., • Ability to work regularly from Irvine, CA (Orange County)., • Experience scaling early-stage or recently funded products., • Familiarity with vector databases, embeddings, and RAG architectures., • Experience with security, authentication, and multi-tenant SaaS systems., • Prior founding or early startup experience., • Be a founding engineer with real ownership and influence., • Join an AI-first, high-caliber engineering team that treats AI as a force multiplier., • Build production-grade AI systems with real customer impact., • Competitive compensation including meaningful equity., • Opportunity to grow into technical leadership as the company scales.#LI-DNI #LI-RemoteWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Who is Tenable? Tenable® is the Exposure Management company. 44,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 45 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Your Role: Tenable is not only building great products and carving out a completely new category, but we are also building a world-class engineering culture committed to hiring the very best. We are looking for a Senior Software Engineer to join a founding initiative within our engineering organization. In this role, you will help design and implement the Agentic AI Platform, the orchestration layer and nervous system that enables autonomous agents to reason, plan, and execute complex security workflows across our Exposure Management ecosystem. This is a hands-on engineering role with broad impact. You will not just be "using" LLMs; you will be building the distributed systems, state machines, and tooling that transform generative models into reliable, enterprise-grade agents. While you will work from home the majority of your time, there may be an expectation to gather for in-person meetings on occasion. Your Opportunity: • Build the Agentic Backbone: Architect and implement the backend services that power multi-agent workflows. You will build systems that allow AI agents to decompose complex user requests, manage state, and execute tasks across distributed microservices., • Orchestration & Workflow Automation: Design scalable workflow engines and "human-in-the-loop" systems. You will enable agents to perform long-running investigations and remediation tasks, balancing autonomy with control., • Bridge AI & Enterprise Infrastructure: Create the integration layer between modern Python-based AI frameworks and Tenable’s robust JVM-based microservices architecture., • Reliability & Guardrails: Implement verification layers, citations, and security guardrails to ensure agents operate deterministically and safely. You will treat "prompts" as code and model outputs as untrusted input that requires validation., • Tooling & RAG: Build advanced Retrieval-Augmented Generation (RAG) pipelines and "Tool Use" capabilities, allowing agents to query databases, call internal APIs, and synthesize data from disparate sources., • Lead Technical Direction: Collaborate with researchers and product leads to define the roadmap for AI orchestration. Champion best practices for MLOps, agent evaluation, and system observability. What You’ll Need: • B.S. or M.S. in Computer Science, Engineering, or a related field, or equivalent practical experience., • 5+ years of software engineering experience (7+ for Staff level), with a strong background in building backend systems, APIs, and platforms., • Agentic AI Expertise: Hands-on experience building AI agents and autonomous workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Pydantic AI., • Polyglot Proficiency: Strong programming skills in Python (essential for AI/ML ecosystems) with experience in, or a willingness to work with, JVM-based languages (Java, Kotlin, or Scala) for high-scale platform components., • Distributed Systems: Experience designing event-driven architectures, managing concurrency, and building fault-tolerant services (e.g., using Kafka, gRPC, REST)., • Data Fluency: Proficiency with Relational Databases (PostgreSQL) and experience with Vector Databases (e.g., Pinecone, Weaviate, Milvus) or search engines (Elasticsearch)., • Builder Mindset: A self-starter who thrives in ambiguity and is passionate about taking AI from "prototype" to "production-grade." And Ideally: • LLM Ops & Evaluation: Experience designing frameworks to evaluate agent performance (accuracy, latency, cost) and implementing CI/CD for AI workflows., • Cloud Native: Experience deploying and scaling services in AWS using Docker and Kubernetes., • Graph & Search: Familiarity with Knowledge Graphs or advanced search algorithms to improve agent reasoning., • Security Context: Understanding of cybersecurity concepts (vulnerability management, cloud security) is a plus, but not required if you are a strong systems engineer. Applicants must be authorized to work for any employer in the U.S. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. #LI-LP1 This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs. US Pay Range $159,000 - $211,666.67 USD We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact ___ for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. This Notice describes how we collect and use your personal data during and after your working relationship with us, in accordance with the General Data Protection Regulation (“GDPR”). Please click ___ to review. For California Residents: The California Consumer Privacy Act (CCPA) requires that Tenable advise you of certain rights related to the collection of your private information. Please click ___ to review.

Facet was founded in 2016 on the belief that objective, personalized financial advice is essential to living well. Our mission is to empower people to live more enriched lives by delivering a new standard of advice. By removing asset minimums, we provide holistic planning that goes far beyond investments to address every way money impacts life. To achieve this, we leverage a "human-plus-tech" approach, combining the expertise of CFP® professionals with cutting-edge AI and automation. This model allows Facet to integrate advice into our members’ entire financial picture—all for an affordable, flat membership fee. Our commitment to innovation and member success has earned national recognition, including being ranked the #1 Best Financial Advisory Firm 2025 by USA TODAY and named to Newsweek’s list of America’s Top Financial Advisory Firms 2025. With an A+ BBB Rating and a Trustpilot “Excellent” score (as of Sept. 16, 2025)*, we are proud to be redefining the industry for our members and our team alike. • Reinvent the Experience: Have the agency to build new ways of working by treating the platform as a product, directly improving experience throughout the company via self-service and high-leverage automation., • Work with Cutting-Edge Technologies: Work at the technical forefront, leveraging best-in-class serverless and AI infrastructure (FaaS, LLMs, Vector Databases) to redefine financial services., • Directly Drive Company Growth: Your foundational work in speed, security, and scalability is the engine that enables Facet's rapid growth and delivers superior financial outcomes for thousands of members., • AI Infrastructure Orchestration: Design and maintain the infrastructure required to power AI features, including vector database management, model deployment pipelines, and secure integration with LLM providers., • Platform Architecture: Build and evolve our Internal Platforms, focusing on self-service, automation, and reducing cognitive load for internal teams., • Serverless & Event-Driven Systems: Optimize and secure our 100% cloud-native environment, developing and deploying scalable serverless and event-driven architectures (AWS Lambda, Google Cloud Functions, EventBridge, Pub/Sub)., • DevSecOps: Implement automated security guardrails within the CI/CD pipeline. You will lead the "Identity/IAM Architecture" to ensure least-privilege access and build automated compliance checks into our Infrastructure-as-Code (Terraform)., • AI Guardrails: Develop and enforce technical guardrails for our internal AI platform to manage data privacy, cost controls, and ethical usage monitoring., • Reliability & Automation: Drive a "manual-is-a-bug" culture by automating environment provisioning, incident response, and performance monitoring., • Experience: 4-8 years of experience in a Platform, DevOps, or Site Reliability Engineering role., • Cloud Native: Deep experience with AWS and/or GCP, specifically focused on serverless architectures. (Note: We are a Kubernetes-free environment; expertise in Serverless/FaaS is essential)., • Infrastructure-as-Code: Expert-level proficiency with Terraform and a "policy-as-code" mindset., • Security Focus: Practical experience designing IAM architectures and implementing automated security scanning/compliance in CI/CD., • Scripting & Logic: Proficiency in at least one modern language (Python, Go, or TypeScript/Node.js) to build custom tooling and integrations., • AI/ML Ops: Experience supporting production AI workflows (e.g., Pinecone, LangChain, OpenAI API integrations)., • Identity Management: Familiarity with modern AuthN/AuthZ protocols and providers (e.g., Okta, Auth0, AWS IAM Identity Center)., • Event-Driven Design: Experience building or maintaining high-scale event buses and asynchronous messaging systems., • Product Mindset: Experience treating "The Platform" as a product, with a focus on improving the Developer Experience (DX)., • Competitive Compensation: $160,000 - 180,000 base salary + bonus, • Ownership: Equity in a rapidly growing company on the path to becoming the "Next Great Financial Services Company"., • Flexibility: Remote-first culture—work from anywhere in the U.S.., • Time Off: Flexible Paid Time Off (PTO)., • Comprehensive Benefits and Perks: Medical, dental, vision, 401(k) match, disability, paid parental leave, wellness reimbursement, and education reimbursement programs. *Facet was ranked #1 Best Financial Advisory Firm 2025 by USA TODAY in April 2025 who partnered with Statista to rank the top 500 RIAs. Recommendations were collected via an independent survey among over 30,000 individuals. self-recommendations were prohibited, and no compensation was provided for the ranking. Facet has been Accredited with the Better Business Bureau® since June 2025, and as of February 2026 holds an A+ BBB Rating. This Accreditation does not imply BBB approval or endorsement. Plant-A Insights Group and Newsweek partnered to identify America's Top Financial Advisory Firms 2025. This analysis was performed with data as of September 2024 and reviewed over 15,000 financial advisories registered with the SEC. These rankings prepared by Plant-A reflect editorial content and no compensation was provided by Facet in connection with America's Top Financial Advisory Firms 2025." As of February 25, 2026; Facet has a 4.8 star rating with TrustPilot.com. TrustPilot uses a formula for calculation that considers three factors: time span, frequency, and Bayesian average. After the calculation, a TrustScore is then visualized into a star rating from 1 to 5 stars, including half stars. Facet’s star rating is calculated from reviews from January of 2022 to present day. Daily star rating may fluctuate. Companies on Trustpilot aren't allowed to offer incentives or pay to hide reviews and Facet has not made any payments in offer or receipt of any reviews. ___

We are seeking a Senior AI Software Engineer to help build internal AI agents and AI-enabled engineering tools focused on developer productivity, workflow automation, and large enterprise-scale software delivery. This is a W2 contract role with mostly remote work and occasional in-office collaboration. Candidates should be Metro Atlanta-based. No sponsorship available. No third-party recruiters. This is a greenfield initiative that needs a strong problem solver first - someone who can work through ambiguity, anticipate issues, and turn early ideas into practical, scalable engineering solutions. The ideal candidate has a strong traditional software engineering foundation, clear communication skills, mentoring ability, and hands-on experience with modern AI-enabled development. Initial work will focus heavily on building internal agents and agent-oriented workflows, with broader enterprise context and AI enablement work evolving over time. This person should understand the full SDLC, enterprise software delivery, CI/CD, and how to build AI capabilities that can move beyond prototype into real use. • Build internal AI agents, agent-oriented workflows, and AI-enabled engineering tools, • Solve ambiguous technical problems and help determine practical paths forward, • Design integrations across systems such as Jira, documentation platforms, repositories, APIs, and internal tooling, • Improve engineering workflows, developer productivity, and SDLC automation, • Build scalable backend services, APIs, and supporting platform components, • Anticipate technical and operational challenges as solutions scale across engineering teams, • Communicate clearly with engineering, product, and platform stakeholders to move ideas from concept into production-ready solutions, • Provide technical guidance, mentoring, and knowledge sharing as the team builds new AI-enabled capabilities, • Support practical patterns around observability, reliability, testing, CI/CD, and operational support for AI-enabled systems, • Must be able to work on a W2 basis without sponsorship, • Metro Atlanta-based, • Strong problem-solving skills and ability to work through ambiguous or evolving requirements, • Strong software engineering background with distributed systems and microservices experience, • Hands-on experience with Python and modern AI development tools such as Claude, Copilot, Cursor, or similar LLM-enabled engineering tools, • Hands-on experience building AI-enabled workflows, agents, orchestration patterns, enterprise AI integrations, and context-aware AI solutions., • Strong understanding of SDLC, CI/CD, production operations, and enterprise software delivery, • Clear communication skills and ability to collaborate across technical and non-technical teams, • Experience mentoring or guiding other engineers through design, implementation, or delivery decisions, • Experience with APIs, cloud platforms, data pipelines, and modern engineering tooling, • Experience with RAG, vector databases, embeddings, or context management patterns, • Experience with developer tooling or SDLC automation, • Experience with Kubernetes, cloud-native platforms, or infrastructure automation, • Experience supporting enterprise-scale engineering organizations, • Comprehensive medical / dental / vision insurance options (50% employer-paid premiums), • 401K option (after 1 year of employment), • Profit sharing, • Professional development and training opportunities, • Employer-provided equipment Third Eye Software is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, or any other characteristic protected by law.

Location: US - Remote Experience: 8+ years in Cloud/Platform Engineering or Infrastructure, with a proven track record of leading cross-functional initiatives and influencing organizational AI strategy. We are looking for a visionary Staff AI-Native Platform Engineer to lead the evolution of our technical foundation. In this high-impact role, you will move beyond traditional automation to architect an AI-native ecosystem that integrates Generative AI into every layer of our Development Platform. As a technical leader within the Platform organization, you won’t just be maintaining infrastructure, you will be reimagining the developer experience (DevEx). You will be the primary advocate for GenAI, fostering a culture of “AI-first” engineering by building agentic workflows that accelerate Cloud Orchestration, CI/CD, Observability, and FinOps. We need a creative engineer who can bridge the gap between cutting-edge LLM capabilities and robust, production-grade platform tooling. * AI-First Development Platform: Design and build unified interfaces where AI agents manage complex tasks like environment provisioning, automated PR reviews, and self-documenting codebases. * Intelligent Orchestration: Embed AI-driven intelligence into CI/CD pipelines and Observability stacks to enable predictive scaling, automated incident triage, and self-healing systems. * Autonomous FinOps: Evolve AI-assisted FinOps workflows to automate cost attribution, anomaly detection, and optimization recommendations across AWS and other cloud environments. * Governance & Guardrails: Implement AI-driven governance to ensure architectural standards and security policies are met without slowing down developer velocity. * Agentic Tooling: Develop production-grade internal tools that use agentic reasoning to solve "day two" operational challenges for product teams. * Internal Developer Portal (IDP): Integrate natural language interfaces into our IDP, allowing developers to interact with the platform through conversational AI. * Actionable Insights: Transform raw telemetry into “executive-ready” insights using advanced data modeling and AI-driven visualization. * Strategic Advisory: Partner with senior leadership to model the technical and operational trade-offs of various AI architectural decisions (e.g., Build vs. Buy, Model Selection). * Team Upskilling: Act as a force multiplier by mentoring engineers on advanced AI tooling, prompt engineering for infrastructure, and the deployment of agentic systems. * Community Building: Stay at the forefront of the GenAI landscape, regularly sharing insights and driving the adoption of emerging tools and patterns across the organization. * Platform Expertise: 8+ years of experience in Cloud Engineering (AWS preferred), with deep knowledge of Kubernetes, Terraform/CloudFormation, and modern CI/CD patterns. * AI/ML Applied Logic: Expert-level experience applying AI techniques (summarization, RAG, agentic reasoning) to real-world operational workflows. You understand how to make LLMs "useful" in a production environment. * Advanced Programming: Expert Python skills and experience with AWS SDKs. You are comfortable building complex integrations and custom CLI/API tools. * The "Staff" Mindset: A history of leading large-scale, cross-functional projects. You can navigate ambiguity, build consensus across teams, and deliver measurable business impact. * Creative Evangelism: The ability to present complex AI concepts to both technical and non-technical stakeholders, inspiring teams to shift toward AI-native workflows. * Product Thinking: Experience building Internal Developer Portals (IDP) with a focus on "Platform as a Product" and user-centric design. * Experience with LangChain, LlamaIndex, or other AI orchestration frameworks. * Contributions to open-source platforms or AI projects. * Experience with vector databases and fine-tuning models for domain-specific tasks. The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. Remote USA $152,100 - $190,100 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit ___. Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: ___ Please be advised that Natera will reach out to candidates with a @___ email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information:

Who We Are TetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: ___ In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. We are seeking a Lead Software Engineer to help expand our scientific search platform beyond traditional keyword search and unlock new capabilities in chemical search, semantic search, and natural language search. In this role, you will work at the intersection of AI/ML, cheminformatics, knowledge representation, and distributed systems, enabling scientists to retrieve and reason over complex experimental datasets, chemical entities, assay results, and unstructured lab documents. As a technical leader of the Search Platform team, you will guide, design and implement new search capabilities while also owning the underlying infrastructure that powers them. Lead by example for building the systems, mentor engineers, and help shape the roadmap for search capabilities and platform evolution. This includes maintaining scalable, reliable services and continuously improving the platform as we expand our search offerings. You will collaborate closely with Applied AI Scientists, platform engineers, and product teams to deliver high performance search services that drive discovery, analysis, and decision making across the bio-pharma R&D lifecycle. If you are passionate about building scalable search systems, advancing scientific retrieval, and supporting production scale AI workloads, we’d love to talk to you. • Lead by example to architect and code the next-generation scientific search engine, building a system that can reason over billions of scientific data points—from chemical structures (SMILES) to unstructured lab documents and instrument data., • Engineer sophisticated hybrid search pipelines that blend sparse (keyword), structured (metadata), and dense (vector) retrieval. You will go beyond out-of-the-box OpenSearch to design custom ranking logic, reciprocal rank fusion, and relevance tuning that surfaces the exact "needle in the haystack" for drug discovery., • Own and operate the Search Platform infrastructure, ensuring high availability, scalability, performance, and observability across indexing, embedding generation, and query execution., • Develop and maintain backend services and APIs in Python and TypeScript that power search capabilities for scientists, data engineers, and AI applications., • Collaborate with Applied AI Scientists to integrate embeddings, transformer models, and chemical fingerprints into production search workflows., • Architect and implement scientific entity resolution and knowledge graph pipelines to transform raw text into interconnected knowledge. You will design systems that extract and link chemical and biological entities (NER/NED) from unstructured documents, enabling the search engine to "understand" relationships between compounds, targets, and assays., • Continuously improve search quality through evaluation metrics such as precision@K, recall@K, MRR, and relevance testing with real scientific use cases., • Ensure security, compliance, and tenant isolation as part of operating search services in enterprise bio-pharma environments., • Contribute to architectural decisions, technical strategy, and platform-wide improvements to accelerate scientific insight generation., • 10+ years of backend or platform engineering experience building distributed, production grade systems., • Hands-on experience with search technologies such as Elasticsearch/OpenSearch, Lucene, or vector databases, • Strong understanding of semantic search concepts embeddings, transformers, similarity scoring, ranking logic, relevance tuning, hybrid retrieval., • Expert-level coding skills in TypeScript and Python building robust APIs and backend services., • Experience building and operating microservices or search infrastructure on cloud platforms (AWS preferred), including containerization, CI/CD, observability, and performance tuning., • Familiarity with scientific or unstructured data processing, such as documents, tables, analytical results, or experimental datasets., • Strong problem solving skills, with the ability to navigate ambiguous scientific workflows and translate them into engineered systems., • Excellent communication and collaboration skills comfortable working alongside scientists, AI researchers, and product teams., • Exposure to NLP, LLMs, embedding generation, or retrieval-augmented workflows., • Experience with large-scale data platforms such as Databricks, Lakehouse architectures, or distributed indexing systems., • Experience with cheminformatics tools and libraries (e.g., RDKit), including molecular fingerprints, similarity metrics, or substructure search., • Prior experience implementing chemical search systems, such as SMILES parsing, normalization, or chemical indexing., • Knowledge of vector databases / embeddings stores (e.g., OpenSearch) to support semantic search and RAG., • 100% employer-paid benefits for all eligible employees and immediate family members, • Unlimited paid time off (PTO), • 401K, • Flexible working arrangements - Remote work, • Company paid Life Insurance, LTD/STD, • A culture of continuous improvement where you can grow your career and get coaching, • We are not currently providing visa sponsorship for this position.

About TetraScience TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “___,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you. We're building a search platform that helps scientists find answers across billions of data points from chemical structures and assay results to unstructured lab documents and instrument data. We're looking for a Lead/Principal Platform Engineer to lead that effort. You'll own the full search stack: indexing and scoring, query understanding and rewriting, retrieval pipelines, and the infrastructure underneath it all. You should be able to fluently apply the state-of-the-art in classical search, custom analyzers, index design alongside newer methods for semantic and hybrid retrieval. You'll go well beyond out-of-the-box OpenSearch to build custom ranking logic, relevance tuning, and scoring models that surface the right result from massive, heterogeneous scientific datasets. This is a hands-on technical leadership role. As the technical leader of the Search Platform team, you'll write code, architect systems, mentor engineers, and shape the roadmap for search capabilities and platform evolution. You'll often operate in ambiguous territory translating loosely defined scientific workflows into well-architected search systems where the "right answer" isn't always obvious and requirements evolve as scientists discover new ways to use the platform. You'll collaborate daily with Applied AI Scientists, platform engineers, and product teams to deliver high-performance search services that drive discovery, analysis, and decision-making across the bio-pharma R&D lifecycle. The domain is bio-pharma R&D, and the data types are fascinating molecular structures (SMILES), experimental datasets, knowledge graphs linking compounds to targets and assays. You don't need to know cheminformatics today, but you should be excited to apply deep search expertise to novel and complex data types. If you've spent your career building scalable search systems and want to do it at the intersection of AI and scientific discovery, we'd love to talk. • Architect a full-stack Search Platform across all layers of indexing and scoring, query understanding, rewriting and federation, and extensible search experiences., • Continuously improve search quality through evaluation metrics such as precision@K, recall@K, MRR, and relevance testing with real scientific use cases., • Engineer sophisticated hybrid search pipelines that blend sparse (keyword), structured (metadata), and dense (vector) retrieval. You will go beyond out-of-the-box OpenSearch to design custom ranking logic, reciprocal rank fusion, and relevance tuning that surfaces the exact "needle in the haystack" for drug discovery., • Lead by example and write code, review designs, and set the standard for engineering quality on the Search Platform team. Mentor engineers and help grow the team's search and distributed systems expertise., • Contribute to architectural decisions, technical strategy, and platform-wide improvements to accelerate scientific insight generation., • Own and operate the Search Platform infrastructure, ensuring high availability, scalability, performance, and observability across indexing, embedding generation, and query execution., • Develop and maintain backend services and APIs in Python and TypeScript that power search capabilities for scientists, data engineers, and AI applications., • Ensure security, compliance, and tenant isolation as part of operating search services in enterprise bio-pharma environments., • Collaborate with Applied AI Scientists to integrate embeddings, transformer models, and chemical fingerprints into production search workflows., • Architect and implement scientific entity resolution and knowledge graph pipelines to transform raw text into interconnected knowledge. You will design systems that extract and link chemical and biological entities (NER/NED) from unstructured documents, enabling the search engine to "understand" relationships between compounds, targets, and assays., • 10+ years of backend or platform engineering experience building distributed, production grade systems., • Hands-on experience with search technologies such as Elasticsearch/OpenSearch, Lucene, or vector databases not just deployment, but custom configuration, relevance tuning, and performance optimization at scale., • Strong understanding of semantic and hybrid retrieval: embeddings, transformer models, vector similarity, ranking logic, relevance tuning, and how to blend them with classical keyword search., • Expert-level coding skills in TypeScript and Python building robust APIs and backend services., • Proven ability to build and operate search infrastructure on cloud platforms (AWS preferred), including containerization, CI/CD, observability, and capacity planning., • Familiarity with scientific or unstructured data processing, such as documents, tables, analytical results, or experimental datasets., • Excellent communication and collaboration skills comfortable working alongside scientists, AI researchers, and product teams., • Exposure to NLP, LLMs, embedding generation, or retrieval-augmented workflows., • Experience with vector databases / embeddings stores (e.g., OpenSearch) to support semantic search and RAG., • Strong problem solving skills, while being Comfortable navigating ambiguity translating loosely defined scientific workflows and user needs into well-engineered search systems., • Contributions to open-source search projects (Apache Lucene, Solr, OpenSearch, or similar) or active involvement in the search engineering community., • Experience with cheminformatics tools and libraries (e.g., RDKit), including molecular fingerprints, similarity metrics, or substructure search., • Prior experience implementing chemical search systems, such as SMILES parsing, normalization, or chemical indexing., • Experience with entity resolution, knowledge graphs, or NLP pipelines that enrich search corpora., • Experience with large-scale data platforms such as Databricks, Lakehouse architectures, or distributed indexing systems., • 100% employer-paid benefits for all eligible employees and immediate family members, • Unlimited paid time off (PTO), • 401K, • Flexible working arrangements - Remote work, • Company paid Life Insurance, LTD/STD, • A culture of continuous improvement where you can grow your career and get coaching, • We are not currently providing visa sponsorship for this position.

We are a development, data science and design studio that works closely with founders and executives to create custom software and machine learning solutions. AE Studio is an LA-based company focused on increasing human agency by making the AGI future go well. We believe alignment is solvable; people just haven’t tried hard enough. For us, that means focusing on neglected ideas that could unlock major breakthroughs. We’ve spent over a decade helping clients, from startups to companies like Samsung, Walmart, Berkshire Hathaway, and Goodfire, solve complex technical problems and bring ambitious products to life. We apply the same structures to research. Instead of a client, we partner with visionary researchers exploring neglected alignment ideas. We’re a full-stack R&D group combining engineering, science, and product capability. This puts us in a unique position to move quickly and make real progress on one of the most important problems of our time. We're fully bootstrapped. We don’t rely on venture capital or private equity. Profits from our client work go directly into internal Skunkworks projects, technical research, and policy engagement. This gives us the freedom to pursue high-risk, high-upside ideas that typical funding models neglect. We can commit to long-term bets without being constrained by short grant cycles or investor timelines. Our alignment efforts include in-house work, alignment clients like Goodfire AI, and collaborations with Redwood Research and researchers at Anthropic and DeepMind. In the past, we also led pioneering research in brain-computer interfaces, and we continue to expand our scope as the stakes rise. If you care about actually solving alignment and want to build, we want to talk to you! We’re hiring a strategic and technical operator to lead execution across research and product efforts. You’ll turn abstract ideas into clear roadmaps, keep teams moving, and ensure progress is visible and aligned with goals. You’ll own high-leverage projects from end to end. Some may be internal Skunkworks efforts. Others may involve clients, grants, or research partners. You’ll help us explore neglected AI alignment ideas, technical bets, or automation pipelines, and move them from concept to real-world impact. We’re hiring Project Runners—entrepreneurial, AI-fluent product leaders who can own delivery for high-stakes projects from end to end. You’ll be embedded in fast-moving teams, often at the intersection of cutting-edge AI, product-market fit exploration, and enterprise execution. This is a hybrid role: part technical PM, part AI architect, part founder-in-training. You’ll run client or internal projects with excellence, polish, and hustle—while building the skills to one day launch or lead a company of your own if AGI doesn't kill everyone. Own AI and Software Projects E2E driving projects from kickoff to launch across generative AI, automation, agent orchestration, or custom tooling. Own delivery and outcomes. Act as Product Owner and Team Lead, translating vague ideas into tested hypotheses. Define scope. Prioritize fast. Build what matters with devs, designers, and researchers. Be Enterprise-Ready to communicate clearly with demanding clients. Align stakeholders. Set expectations. Bring confidence and clarity to complex discussions. Build with AI Tools (Not Just Manage). You’re fluent in LLMs, LangChain, RAG stacks, vector search, OpenAI APIs, fine-tuning, or similar. You prototype and validate with your own hands. Work like a Founder while navigating ambiguity, wearing multiple hats, and making hard calls. Build with urgency and care. Take extreme ownership and find leverage. Spin Off (Eventually) - AE supports startup spinouts. You’ll have the opportunity to become CEO or CTO of a venture—either something you incubate here or that AE backs you to lead. • Proven experience in product leadership, AI product development, or startup building, • Strong understanding of generative AI stacks, LLMs, vector DBs, and APIs, • Entrepreneurial mindset: bias toward action, scrappiness, and experimentation, • Strong communicator: clear with clients, inspiring with teams, strategic with stakeholders, • Ability to lead cross-functional teams and ship without waiting for permission, • Preference for small teams, 0→1 problems, and real-world results over theory, • Experience working in consulting, agencies, startups, or early-stage ventures, • Prior founder/operator experience or deep desire to build a venture, • Experience building prototypes or MVPs in AI/no-code/low-code, • Exposure to AGI-aligned thinking or AI safety concepts, • Fluent in user research, iterative development, and lean experimentation, • Network or domain expertise in areas where AI can unlock 10x value, • High client satisfaction and consistent delivery on ambitious timelines, • Impactful prototypes that create real business value, • Growth in your leadership path: from Runner → Director → CEO/CTO, • Not a project babysitter. You ship. You lead. You own., • Not a slide deck creator. You prototype, you test, you build real things., • Not a solo act. You bring others along, unblocking and collaborating effectively., • Not a corporate PM. You’ll get your hands dirty in tools, code, and strategy., • Build cool things using the coolest and more modern tools and actually ship it, • Work alongside top 0.1% engineers, researchers, designers, and founders, • Access to AE’s internal ideas, capital network, and spinout playbook, • Grow into a founder with guidance, support, and real projects to prove yourself on Salary range from $120k/year to $220k/year. Not in the range? That's fine, you can still apply and our team may fit you in a more senior position that we're not actively hiring right now, but we are growing fast and may have other openings soon. This range considering people based in California EQUITY Working at AE means receiving equity in our client projects and in Skunkworks ventures. The equity is priced at $0 when granted for tax reasons, but AE invests millions into these projects. Equity comes from reduced margins on client work and internal funding. You get a real stake in the things you help build. The longer you stay, the more value you create and the more equity you receive. If you leave on good terms, you can retain 20% of your equity by staying engaged. If you spin out a Skunkworks venture, you retain 100%.

About Pinecone Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 9000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: We are hiring a senior software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – knowledge infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability. Responsibilities: * Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation * Design and build optimized indexing pipelines for structured and unstructured data * Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration * Improve retrieval quality through evaluation and observability frameworks * Design APIs for internal and external user and agentic consumers * Optimize latency, throughput and cost across large-scale inference and retrieval workloads * Drive technical direction for reliability and security What You’ll Bring to the Table: To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge. Systems Expertise * Architectural Depth: You have a proven track record (typically 6+ years) of shipping production-grade backends for large-scale systems. You don’t just write code; you design for high throughput, low latency, and long-term maintainability. * Data Engineering Savvy: You’re comfortable building high-throughput indexing pipelines that handle both the messy world of unstructured data and the rigid world of structured schemas. AI & Retrieval * Retrieval Intuition: You understand that "search" is more than just a keyword match. You have direct experience (or deep theoretical knowledge) in semantic search, vector databases, hybrid retrieval strategies, or with traditional search engines like Elastic or OpenSearch. * RAG & Orchestration: You understand the nuances of Retrieval-Augmented Generation (RAG) patterns, from embedding pipelines and hybrid search techniques to how query planning and metadata filtering can make or break an LLM's performance. Technical * Language Fluency: You are an expert in at least one major language like Go, Rust, C++, Java, or Python. * Infrastructure: Familiarity and experience with modern infrastructure tools, such as Kubernetes, cloud-native architectures, and observability frameworks, as well as infrastructure-as-code tools like Terraform or Pulumi. Ownership & Impact * Product Thinking: You don't just build to spec; you build for the user. You can design clean, intuitive APIs that both human developers and autonomous agents will love. * Ambiguity Navigator: You’re comfortable in a high-growth environment. You prefer "owning a problem" over "executing a ticket." Bonus Points * Experience building multi-tenant SaaS platforms. * Experience with retrieval evaluation frameworks—knowing how to actually measure "good" search results. * Experience with query planning or agentic reasoning loops (e.g., teaching a system how to break down a complex prompt into multiple specific steps). Perks & Benefits: * Comprehensive health coverage including medical, dental, vision, and mental health resources * 401(k) Plan * Equity award * Flexible time off * Paid parental leave * Annual Company Retreat * WFH Equipment Stipend All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are seeking a strong Senior Full-Stack Engineer to help us build, scale, and refine our rapidly growing product. The ideal candidate is deeply grounded in software engineering best practices and experienced in developing and scaling modern web applications end-to-end. You will work across the stack-from React/TypeScript frontends to Python-based backends-while integrating with LLMs and machine learning systems. You will solve complex challenges in scalability, reliability, and product experience while owning significant product areas in a fast-paced environment. • Own major full-stack product areas, driving features from design through production deployment., • Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness., • Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components., • Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences., • Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with customers., • Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP., • Adapt quickly-learning new technologies, frameworks, and tools as needed across the stack., • 5+ years of full-time engineering experience, post-graduation., • Strong experience developing full-stack applications using React, TypeScript, and Python., • Experience scaling or shipping products at high-growth startups., • Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome)., • Proficiency with SQL and modern API development., • Experience with Kubernetes, containerization, and microservice architectures. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the Engineering Manager and technical point of contact for strategic enterprise accounts, • Lead a team that is collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 5+ years of software engineering experience with 2+ yrs of Management experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: • Own large new areas within our product, • Work across backend, frontend, and interacting with LLMs and ML models, • Deliver experiments at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • 4+ years of full-time engineering experience, post-graduation, • Experience scaling products at hyper growth startups, • Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies, • Proficient in Python or Javascript/Typescript, and SQL, • Experience with Kubernetes About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: • Own large new areas within our product, • Work across backend, frontend, and interacting with LLMs and ML models, • Deliver experiments at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • 7+ years of full-time engineering experience, post-graduation, • Experience scaling products at hyper growth startups, • Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies, • Proficient in Python or Javascript/Typescript, and SQL, • Experience with Kubernetes About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

___ Job Type Full-time Description Vector Solutions is the leader in providing industry-focused SaaS solutions that connect content and technology. Vector's unique product set aims at training and learning management, continuing education (CE), compliance, workforce scheduling, safety management, and more. Our mission is to empower everyday heroes in the public, educational, and commercial sectors to make safer, smarter, and better decisions. Vector Solutions is looking for a Senior Analyst of GtM Operations to join our Revenue Strategy & Operations team. In this role, you will be a core member of the Revenue Leadership team, reporting to the Senior Director of GTM Strategy & Operations. You'll be responsible for supporting the design and execution of Vector's go-to-market strategy, including annual sales planning, territory management, quota and compensation design, pricing, and deal desk operations. This is a high-ownership individual contributor role with no direct reports at this time. This person will partner cross-functionally with the CRO, CFO, and other senior leaders to align business strategy with operational execution. The ideal candidate will thrive in fast-paced, high-growth environments and be passionate about data-driven problem-solving. What You'll Do Territory, Coverage, and Account Governance: • Own/support account assignment and territory design processes across sales and post-sale functions, • Collaborate with Sector teams to optimize existing pricing structure and define packaging and pricing for new offerings., • Own board-level bookings and revenue forecasting and build repeatable views on performance (bookings, renewals, productivity, capacity), • Own weekly/monthly/quarterly performance and KPI reporting that provides action-oriented insights for executive leadership and cross-functional partners, • Translate data into clear recommendations and present findings to senior leadership to drive decision-making., • Support annual and in-year compensation & incentive design, • Support sales and pre/post sales compensation plan documentation hygiene, crediting rules, exceptions governance, and policy inputs (new hire/ramp, leave treatments, proration rules, close process). Requirements, • BA/BS degree in a business field preferred, or equivalent professional experience, • 4+ years of relevant professional experience in investment banking, management consulting, FP&A, analytics, reporting, and/or revenue strategy/operations, • Demonstrated ability to work with large data sets, build complex driver-based models, and translate quantitative analysis into clear business insights and strategic recommendations. Power user of Excel or Google Sheets; Salesforce CRM required. SQL, Python, or Access experience a plus. Familiarity with BI platforms, including CRM Analytics, preferred. Excellent analytical, problem-solving, and implementation skills, • Thrive in a fast-paced, changing and complex environment, • Outstanding written and verbal communication skills, • Friendly, open, and casual work environment, • Comprehensive benefits package effective the first of the month after hire, • Matching 401(k) retirement plan, • Healthy work-life balance with flexible work arrangements and generous time off, • Generous referral incentive program, • Tuition Reimbursement Program, • Pet Insurance, • OnePass Gym/Wellness Discount Program, • Calm Health-Employee Membership, • Company social events, • Employee Resource Groups, • Teamwork - Above all, we're a team. We give and value feedback. We support each other, respect each other and work together to accomplish our common goals and serve our customers. Once we make decisions, we align behind them as a team., • Customers First - Our customers' success is our success. They are why we are here. We work to earn the trust of our customers and always deliver on our commitments., • Make a Difference - It's not a job, it's a calling. We have passion for our mission, for our customers, for our work, and for sharing a fulfilling experience with our fellow team members., • Inclusiveness - Uniqueness is powerful. We support an environment of respect, belonging, and community that promotes a variety of perspectives and crucial conversations, leading to better outcomes., • Act Now - We act with urgency. The best time to get something important done is now. We don't wait and let perfection be the enemy of good., • Curiosity - We love a good challenge. We're scrappy, we stretch ourselves to be the best, ask questions, learn from our mistakes, and are dedicated to continually improving and growing., • Ownership - We own the outcome and don't pass the buck. The score matters. We hold ourselves and each other accountable. We treat company resources like they are our own. Salary Range: 90,000-115,000 Vector Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to sex, gender, race, color, religion, national origin, age, pregnancy, disability, genetic information, or status as a protected veteran. Compensation Disclaimer: The base salary range provided is a good-faith estimate at the time of posting. Actual pay may vary based on factors such as skills, qualifications, experience, and work location. Compensation will always comply with applicable state and local pay laws, including but not limited to those in California, Colorado, New York, and Washington. Salary Description 90-115K

Full-time Description Position Summary The MFM IT team has a long history of delivering and maintaining core business systems in a mid-sized Property & Casualty insurance environment. As we expand our development team and adopt new AI development tools, we are making a deliberate investment in building this capability correctly from the start. As we begin to build agentic AI capabilities within our enterprise system, we are looking for an experienced engineer with strong knowledge of agentic AI systems to help guide this effort. The Senior Agentic AI Specialist will work closely with MFM's Principal Architect, who leads overall platform architecture, and partner with senior developers to design, implement, and improve agent-based solutions. This role will bring specialized expertise in areas where we are still developing depth, including agent orchestration, retrieval pipelines, LLM evaluation, and prompt design. This is an ongoing platform effort, not a one-time project. The work will evolve over time as we expand capabilities, integrate new tools, and improve system quality. Our core systems are built on a Microsoft/.NET stack. As we develop our agentic AI capabilities, we expect to leverage cloud-based tooling (likely within Azure) where appropriate. We are pragmatic about using the right tools for the problem, while maintaining alignment with our existing platform and operational requirements. At Midwest Family we value practical experience, clear thinking, and the ability to apply these skills in a real-world environment. Application Requirements Cover Letter and Resume: Please include the following in your cover letter • A description of an AI or agent-based system you have worked on, including your role and how you evaluated quality, • Your approach to reducing incorrect or unsupported outputs, • An example of how you supported other developers or teams in adopting AI capabilities, • Your physical remote work location state, • Salary expectations Responsibilities: • Platform Architecture & Evolution: Provide input into AI-related architecture decisions. Evaluate tools, models, and approaches, and make practical recommendations based on trade-offs and outcomes., • Agent Lifecycle Management: Design, build, and maintain agents. Define prompts and configurations, support routing decisions, and monitor performance in production., • RAG Pipeline Engineering: Improve retrieval quality by working with chunking strategies, embeddings, search methods, and metadata filtering. Support onboarding of new knowledge sources., • Quality & Hallucination Reduction: Help reduce incorrect or unsupported outputs through system design, testing, and monitoring. Apply practical approaches across prompts, retrieval, and model behavior., • Evaluation & Testing: Develop and maintain evaluation approaches to measure output quality, including relevance and accuracy. Support regression testing and identify failure patterns., • Prompt Engineering: Create and maintain prompts for different agents. Diagnose unexpected behavior and develop reusable patterns where appropriate., • Tool Integration: Support integration with internal systems and APIs. Help manage tool access and ensure reliable execution and error handling., • Observability & Operations: Contribute to logging, tracing, and monitoring. Support analysis of system behavior, cost, and performance in production., • Governance & Configuration: Work with configuration across agents, prompts, and models. Ensure changes are version-controlled and reviewed., • Developer Support: Work with other developers to share knowledge, review designs, and establish consistent approaches. Education & Certification • College degree or Programming Certification (preferred), • 5+ years of equivalent work experience, • Experience building or working with AI/LLM-based systems in a production or near-production environment, • Strong understanding of agent-based patterns (ReAct, tool usage, etc.), • Experience with retrieval-based systems (RAG), vector stores, or search pipelines, • Familiarity with evaluating non-deterministic system outputs, • Experience improving system quality through testing and iteration, • Strong software engineering skills required. Experience with Python, TypeScript, or C# preferred, • Ability to work across technologies and integrate AI solutions into an existing enterprise environment, • Experience working with multiple LLM providers, • Familiarity with emerging tools and frameworks in the agentic AI space, • Experience integrating with enterprise systems and data sources, • Experience mentoring or supporting other developers, • Strategic thinker with strong analytical and problem-solving skills, • Technically proficient with broad systems knowledge, • Excellent interpersonal, written, and verbal communication skills, • Self-directed, collaborative, and highly organized, • Customer-oriented and able to navigate high-pressure environments, • Flexible and adaptable in regards to learning and understanding new technologies., • Exceptional organizational skills and ability to keep track of multiple projects at a time., • Ability to conduct research into software-related issues and products., • Technically proficient., • Exceptional attention to detail., • Ability to work both independently and in a team-oriented, collaborative environment., • Remote work environment following core hours 8AM-5PM Central Time, • Overtime may be required to meet project deadlines or monitor system processes., • Sitting for extended periods of time., • Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices., • Minimal travel will be required for the purpose of off-site software training and team meetings., • Physically able to participate in virtual and in-person training sessions, presentations, and meetings.

___ is an AI startup with open source and creativity at its core. Our AI-native vector database uses machine learning to create meaningful insights from unstructured data in a completely new way. Named one of Forbes’ Top 50 AI startups, and with over a million monthly downloads, Weaviate is quickly growing in popularity with developers and enterprises alike. Our team members work remotely across the globe with the flexibility to work from anywhere and at any time. Our people experience this as a massive benefit! Operating with a strong sense of ownership and collaboration, our teams prioritize results while empowering each individual to do their best work. About this role * Full Sales Lifecycle: Manage the end-to-end sales process - from initial outreach and lead qualification to complex contract negotiations and closing. * Territory Strategy: Develop and execute a strategic plan to penetrate key industries (Finance, E-commerce, Healthcare, etc.) within the EMEA region. * Solution Selling: Conduct deep discovery to understand prospect pain points and demonstrate how Weaviate’s vector search and AI features provide a competitive edge. * Community Engagement: Work closely with our Developer Relations and Marketing teams to leverage our massive open-source community as a source of enterprise opportunities. * Pipeline Management: Maintain accurate forecasts and CRM records (Salesforce/HubSpot) to ensure predictable revenue growth. What we are looking for * Experience: 4+ years of B2B SaaS sales experience, preferably in infrastructure, databases, or AI/ML. * US (West) Expertise: Proven track record of hitting and exceeding quotas within the US West Coast market, including familiarity with regional procurement and legal nuances. * Technical Fluency: You do not need to be a developer, but you should be able to comfortably discuss APIs, LLMs, vector embeddings, and cloud architecture (AWS/GCP/Azure). * Communication: Exceptional verbal and written communication skills in English. * Mindset: A 'builder' mentality. You thrive in the ambiguity of a fast-growing startup and enjoy creating your own playbooks. * Training in sales methodologies (e.g., MEDDIC, SPIN, Challenger) is highly desirable. * Quick learner with high emotional intelligence (EQ) and the ability to influence key stakeholders. * Passionate about advancing your career in enterprise sales and deepening your knowledge of our products. * Aligned with our company values and culture. * 100% Remote Work: Work from anywhere in the world where you can do your best work. Whether it’s your cozy home office, a co-working space, or a beachside café. Read more ___. * Flexible Time Off: We trust you to manage your time (off). Take the time you need to recharge, travel, or just enjoy life outside of work. Read more ___. * Competitive Pay & Equity: We offer compensation that reflects the value you bring to the team, along with the opportunity to share in our success through equity. * Local Benefits: * US: Healthcare, dental, vision insurance, 401(k) employer matching. * Netherlands: Holiday allowance, pension plan. * Other countries: Benefits provided via our Employer of Record (EOR) partner, tailored to local standards and regulations. * Tech stack: We provide you with a shiny new MacBook, and you’ll receive a stipend to upgrade your home office. * Grow, Learn, and Collaborate: We provide a dedicated budget to help you sharpen your skills and grow your career. Work with a curious, collaborative, smart, and innovative (fun) team that encourages growth and impact. Have a look at ___ to learn what you can expect from our interview process. Be aware that conducting a background check is part of our onboarding. If you’re interested in Weaviate and this role, please apply through this vacancy. We’ll be in touch in response to your application. This way, we can ensure you have the best experience while allowing our team to focus on doing their best work.

Senior Software Engineer (C/C++ & Python, Networking Domain) Miramar, FL About Quvia Quvia is the AI-powered quality of experience (QoE) management platform for things that move like ships and planes, transforming connectivity and digital experiences even in the most remote and hard-to-reach places. Our platform uses AI and machine learning to seamlessly blend any combination of connectivity, regardless of provider, orbit, or network, into one vendor-neutral environment. Quvia delivers comprehensive, end-to-end analytics and dynamic network orchestration that optimizes for the best possible QoE for applications and end-users. Today, Quvia partners with world-leading Fortune 500 companies in aviation, cruise, shipping, and beyond. Why Quvia? Founded in 2019, Quvia is a fast-growing, Series A tech startup passionate about redefining global connectivity. Our solutions are already addressing significant challenges in the aviation and cruise industries and we’re just getting started. With headquarters in the greater Miami region and offices in the UK and India, our remote-first culture empowers talented individuals around the world to make a lasting impact. Quvia is backed by Columbia Capital, a respected venture capital firm with over $5 billion in fund commitments. Position Overview We are seeking a Grid Data Path Engineer with strong proficiency in C/C++ and Python, and solid experience in the networking domain. The ideal candidate will be responsible for designing, developing, and maintaining software systems that power next-generation networking solutions, with a focus on performance, scalability, and reliability. Having hands-on experience in virtualized environments (VMs) — including setup, configuration, and network integration — along with the ability to design and develop robust, scalable networking software is also an essential requirement. In order to be considered, candidates must be based in South Florida, and live within a commutable distance to our headquarters in Miramar. Key Duties and Responsibilities: • Design and develop software modules using C/C++ for high-performance network applications., • Part of the software also involves integrating with Python based modules., • Work on L2–L7 networking protocols such as Ethernet, IP, TCP/UDP, BGP, OSPF, MPLS, and others., • Collaborate closely with architecture and QA teams to define and deliver robust software components., • Debug and resolve complex issues across multiple layers (application, transport, and network)., • Analyze crash files and debug with the team to resolve them, • Configure and troubleshoot virtual networking in virtual machine (VM) environments — bridges, TAP/TUN interfaces, VLANs, and virtual switches (like OVS)., • Deploy and test networking software inside VMs or virtualized test environments (e.g., KVM, VMware, VirtualBox, or cloud VMs)., • Collaborate with DevOps and QA teams to ensure seamless deployment, configuration, and testing workflows., • Participate in design and code reviews, enforcing best practices for maintainable, high-quality code., • Mentor junior engineers and contribute to technical design discussions and documentation. Requirements: • Bachelor’s or Master’s degree in Computer Science, Electronics, or related discipline., • 7–10 years of hands-on software development experience in C/C++ and Python., • Strong understanding of networking concepts and protocols — IPv4/IPv6, ARP, VLAN, TCP/IP stack, routing, switching, or network virtualization., • Experience with Linux based systems — system programming, socket programming, and multithreading., • Hands-on experience with packet capture/analysis tools (Wireshark, tcpdump, etc.)., • Exposure to DPDK/VPP, SDN/NFV, or network appliances is a strong plus., • Experience integrating software with network management systems (NMS), SNMP, or REST APIs., • Familiarity with CI/CD pipelines, Git, Jenkins, Docker, Kubernetes preferred., • Excellent problem-solving and debugging skills in distributed systems., • Good understanding of software design patterns and performance optimization techniques., • Strong analytical thinking and attention to detail., • Good communication skills and ability to work in a collaborative environment., • Proven track record of delivering production-quality software in fast-paced teams. Preferred / Good to Have: • Experience with VPP (Vector Packet Processing) or DPDK-based applications., • Strong understanding of networking concepts — TCP/IP stack, routing, switching, VLANs, ARP, IPv4/IPv6., • Proven experience with Linux/Unix systems, socket programming, and multithreaded applications., • Hands-on experience in setting up and managing virtual machines and virtual networks —, • including KVM, libvirt, VMware, or VirtualBox., • Familiarity with configuring bridges, vSwitches, TAP/TUN interfaces, and NAT or host-only networking., • Exposure to OpenConfig, NETCONF/YANG, gRPC, or telemetry systems. What We Offer: • Competitive salary, • Equity options, • Performance-based bonus opportunities, • Medical, Dental and Vision benefits, • Life Insurance, • Flexible PTO policy, • 401(k) plan

Remesh - San Francisco, New York City or Remote (must be in the United States) Full-time 10 to 50 employees · Internet Originally posted March 05, 2026; this is a 100% remote, full-time role Remesh Operates on a 4 Day Work Week (4DWW) About Us! Remesh was founded in 2014, with a mission to build a platform that can help people truly understand each other — whether that's consumers, employees, or constituents. To date, we have raised over $65 million to execute this mission. We are excited to be disrupting the $70+ billion insights industry. Remesh allows you to have a live conversation with your audience at scale, using AI to analyze and organize their responses in real-time. Through this process, our customers are able to quickly draw out actionable insights as they engage hundreds of participants simultaneously. As a result, customers are able to gain fast, frequent, and efficient insights and make decisions with confidence. About the Role As a Software Engineer at Remesh, you will be scaling a revolutionary means of communication and helping to change the way we understand people. You will build, maintain, and test new and existing features using modern AI-assisted development workflows. You will be working with a cross-functional team of product managers and engineers (also at times, our Go-to-market teams) to improve existing features, build new ones, and scale our platform to serve more users and use-cases. We are transitioning to an AI-first development workflow, leveraging tools like Claude Code, Cursor, and similar AI coding assistants to accelerate development and improve code quality. The successful candidate will be comfortable working alongside AI tools, have experience with or enthusiasm for AI-assisted development, but absolutely needs to possess strong critical thinking, problem-solving, and reasoning skills. • Writing, maintaining, and testing code, • Leveraging LLMs and AI coding assistants to accelerate development velocity while maintaining high code quality standards, • Identifying and resolving issues, bugs, and requests efficiently with AI-augmented debugging and analysis, • Collaborating with product managers and designers to build engaging features for our users, • Collaborating with your team to design, develop, and maintain scalable, robust, and efficient software solutions which will leverage 3rd party APIs (e.g. LLMs) into our product to provide our customers with new and exciting features, • Building and integrating AI agents and agentic workflows into our platform and development processes, • Supporting our internal teams with engineering expertise, • Collaborating with other engineers to improve our codebase and the architecture and systems supporting it, • Contributing to and refining our AI-first development practices and tooling, • Working with other engineers to build complex features, • 3-5 years of professional software development experience, • 3+ years of proficiency in JavaScript or TypeScript, • 2+ years of proficiency in one of the following: Python, Ruby, Java, Go, or Rust, • Experience with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot, OpenAI Codex, or similar), • Ability to effectively prompt and collaborate with LLMs to accelerate development, • 2+ years of experience with common web technologies, frameworks, and paradigms, • 2+ years of experience applying fundamental software engineering concepts, conventions, and best practices, • 2+ years of experience with unit tests and testing best practices, • Strong critical thinking skills to evaluate and refine AI-generated code, • Experience developing on one of the following cloud platforms: Google Cloud Platform, AWS, Azure, • 5+ years of professional software development experience, • Experience building, deploying, or integrating AI agents and agentic systems, • Experience with Python and Django, • Experience with Kubernetes and Docker, • Experience with React, • Understanding of RAG (Retrieval-Augmented Generation) patterns and vector databases, • Four Day Work Week (4DWW), • Sabbatical Leave Available, • Medical/dental/vision coverage, • Work from anywhere in the US!, • Remesh Equity, • 401k Retirement Plan, • $500 one-time use work from home allowance (WFH), • $150 monthly stipend WFH stipend, • 28 days of PTO annually, • $150K USD to $170K USD

Figma is growing our team of passionate people on a mission to make design accessible to all. ___, Figma helps entire product teams ___, design and build better products — from start to finish. Whether it’s consolidating tools, simplifying workflows, or collaborating across teams and time zones, Figma makes the design process faster, more efficient, and fun while keeping everyone on the same page. From great products to long-lasting companies, we believe that nothing great is made alone—come ___ with us! Our Creation Engine teams work on some of the core technologies that power our real time, browser-based ___ and ___ products. These teams work mostly (but not exclusively) on client-side code that runs in the browser. Under the hood, Figma shares a lot of similarities to a game engine. We develop this C++/WebAssembly engine to ensure internal and external developers can rapidly build new products and features that are fast and reliable by default, and own areas such as our in-memory data model (SceneGraph), renderer, and multiplayer client/server protocols. Within Creation Engine, the Rendering & Animation team focuses on the lowest level of the stack, where we convert the SceneGraph into primitive rendering operations that are executed on the GPU using WebGL. Our team houses the company’s expertise in rendering of 2D vector graphics, rendering algorithms, rendering APIs, and GPU profiling and optimization. Our mission is to make rendering performant, feature-rich, reliable, maintainable, and extendable across all products and surfaces. Rendering & Animation engineers use a combination of C++ and TypeScript for CPU-side code (to support our two renderers); our shaders are written in GLSL. The team recently completed a large project to replace our legacy rendering backend with a new one - “TinyGPU” - that is more modern, much smaller, and easier to work with. This project has laid the groundwork for a new era focused on feature expansion, performance optimization, advanced animation, and future product launches. Each new product at Figma pushes beyond our previous rendering assumptions, requiring constant innovation and visionary foundations. The Rendering & Animation team is looking for engineers with domain expertise in rendering algorithms and APIs, as well as both high- and low-level performance optimization. Experience relating to rendering of 2D vector graphics specifically is a plus, but not required! We’re looking for someone who is excited to explore the latest graphics technologies like WebGPU, plus develop and implement new algorithmic techniques for things like high-performance antialiasing. Figma is a highly collaborative organization and most projects are owned by small teams of 2-3 people. You’ll form strong relationships with product managers and designers, and can expect to partner regularly with engineers and leaders beyond your immediate team. We strive to foster an inclusive culture that promotes equity and belonging, and use the following values to guide how we work together: communicate early and often, lift your team, focus on craftsmanship, and prioritize impact. You can learn more about our engineering values and how we developed them ___. This is a full-time role that can be held from one of our US hubs or remotely in the United States. • Work closely with teammates and partners in Engineering, Product, Design, Marketing, User Research, and Data Science to build new features and achieve roadmap goals. We prioritize collaboration and cross-functional partnerships, so you won’t operate in silos. Some efforts you might impact include:, • Creating and optimizing shaders to render blurs of primitive shapes in a single pass, • Improving how we order and batch draws to reduce draw calls and render target switches, • Developing and implementing faster approaches to anti-aliasing (an open area of research in 2D vector graphics!), • Implementing performant animations using multiple layer caches for fast compositing, • Drive guidance, quality, and standards for rendering at Figma, and explore opportunities that keep us on the bleeding edge of new capability and advancements., • Be a mentor and provide thoughtful feedback to your peers, and benefit from strong personal and professional mentorship opportunities yourself., • Contribute to org-wide initiatives like new hire onboarding, interview process development, and Belonging/Equity/Inclusion efforts., • Continue ramping and learning. The technical challenges you'll tackle on the Rendering & Animation team are unique, fun, ambitious, and ever-evolving., • 8+ years of professional experience shipping software with a specialization on Rendering and Graphics (2D or 3D), ideally with experience in C++/WebAssembly., • Experience working on game engines, client-side technologies and platforms, and rendering APIs like OpenGL, WebGL, WebGPU, Vulkan, Metal, or DirectX., • Demonstrated fluency with one or more low-level programming languages, including but not limited to: C++, C, Objective-C, Go, or Rust., • Deep familiarity with the rendering pipeline and rendering concepts., • Proactive communication skills and a desire to work in a collaborative environment. At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information. Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future. Annual Base Salary Range (SF/NY Hub): $149,000 - $350,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an ___ - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to ___. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: • Holding interviews in an accessible location, • Enabling closed captioning on video conferencing, • Ensuring all written communication be compatible with screen readers, • Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with ___.

Job Summary: Natera is seeking an experienced Senior Software Engineer with modern data engineering and AI-enabled development skills with deep scientific R&D background to design and build data products that directly support genomics research and translational science. This role is intended for someone who already understands how research organizations operate, how genomic data flows from experiment to insight, and how to engineer data systems that accelerate discovery without compromising rigor or compliance. The ideal candidate combines strong data engineering skills with a computer science background and hands-on experience in bioinformatics, genomics, or computational biology, and the ability to work independently in an R&D environment. You will also be comfortable moving quickly to prototype novel data products while ensuring solutions evolve into robust, compliant, and scalable platforms. You will bring an internalized sense of what “good” looks like for research data: reproducibility, traceability, performance, and scientific usability. * Design, build, and maintain the data products that support R&D, analytics, Lab and scientific workflows, from initial design through deployment and iterations * Build and maintain data pipelines for large and complex datasets, from raw inputs through derived and analysis-ready datasets. * Apply domain knowledge in genetics and bioinformatics to design data models, schemas, and abstractions that align with real research patterns and downstream analysis needs. * Design and enforce de-identification and privacy-preserving architectures that meet HIPAA and related regulatory requirements while remaining usable for research. * Design scalable data models to power analytics, reporting, and downstream applications. Maintain high standards of data quality, accuracy, lineage, and observability across data pipelines. * Partner closely with R&D scientists, bioinformatics teams, and software engineers to translate research needs into well-structured, reusable data assets. * Optimize storage, retrieval, and lifecycle management for large scientific files (E.g. sequencing data, intermediate artifacts, derived datasets). * Drive rapid prototyping efforts to support exploratory, proof-of-concepts, and early-stage initiatives, while guiding the transition to production-grade systems. * Implement best practices for data quality, validation, lineage, observability, and reproducibility to enable a trusted 360° view. * Collaborate with product managers and domain experts to translate requirements into technical solutions * Establish golden paths (templates, examples, docs) and contribute to shared data product catalogs, patterns, and best practices used by other engineers * Provide technical guidance and mentorship to mid-level engineers * Bachelor’s or Master’s degree in computer science or bioinformatics with healthcare or biotech data domain experience preferred * 8+ years of experience in data engineering, designing and maintaining data pipelines and cloud data architectures (e.g, Snowflake, AWS, etc) * Strong background in bioinformatics, genomics, or computational biology (required). Understands key genomics and bioinformatics data formats, such as BAM, VCF, FASTQ, common compression techniques for these file formats, and their storage, delivery, and management needs. * Demonstrated experience supporting scientific R&D, Lab workflows and research teams with production-grade data systems. * Strong proficiency in Python, SQL, and distributed processing frameworks (Spark or equivalent) * Experience with modern orchestration tools (Airflow, dbt, Dagster) * Experience leveraging AI-assisted development tools (e.g., LLM copilots) to accelerate data solution development * Familiarity with building data products that support analytics, ML, or AI applications * Strong data modeling expertise (dimensional, normalized, healthcare-specific schemas) * Experience implementing CI/CD for data pipelines and IaC (Terraform, CloudFormation); Knowledge of data observability, testing, and data quality frameworks * Demonstrated ownership of production-grade data systems and end-to-end pipeline lifecycle * Ability to evaluate emerging data and AI technologies and recommend scalable solutions * Exposure to vector databases, embeddings, semantic search, or RAG-based architectures is a plus * Proven ability to operate effectively in fast-paced environments, balancing speed, rigor, and compliance * Strong written and verbal communication skills with ability to collaborate across engineering, analytics, and business stakeholders * Experience working with healthcare, life sciences, or other highly regulated data, including hands-on HIPAA compliance. The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. Remote USA $125,000 - $156,300 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit ___. Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: ___ Please be advised that Natera will reach out to candidates with a @___ email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information:

Supernal helps small-to-medium businesses hire their first AI employee. Our AI teammates are built using intelligent, agentic workflows deployed on a proprietary platform. We deliver working, value-generating AI Employees—not tools—that handle real business processes alongside human teams. We’re hiring a Senior AI Engineer to build and ship the first generation of personalized, self-improving agentic workflows that users rely on daily. This is an “end-to-end” role: you’ll design the agent runtime, memory + retrieval systems, evaluation harnesses, and the product-facing surfaces that put agents in front of real users at scale. You should be equally comfortable reasoning about distributed systems and data (latency, caching, queues, failure modes, cost) as you are with modern agent stacks (tool use, memory, RAG, multi-step planning, guardrails, and evaluation). This role will partner closely with platform engineering to leverage and extend our core services (Django backend, event-driven systems, Kubernetes, observability) while owning critical parts of the AI application layer. * Personalized agent runtime: Agentic workflows that adapt to a user’s preferences, data, and ongoing behavior over time. * Memory & retrieval systems: Short/long-term memory, durable state, and retrieval pipelines across vector DBs and relational data. * Voice experiences (real-time + async): Speech-to-speech/voice agents, streaming audio pipelines, turn-taking, interruption handling, latency tuning, and QA for natural conversations. * Agent evaluation + reliability: Offline/online evals, regression suites, red-teaming, monitoring, and rollout controls so agents are trustworthy in production. * Production agent infrastructure: Scalable orchestration patterns for multi-step jobs, background tasks, and user-facing interactions (sync + async), with clear SLAs/SLOs. * Tooling + developer experience: Libraries and primitives that make it easy for the team to build new agent capabilities quickly and safely. * Ship user-facing agent experiences end-to-end: prototype → production → iteration based on real usage. * Architect and implement stateful agent systems (workflows, tool calling, memory, retrieval, and human-in-the-loop where needed). * Build voice features end-to-end where they unlock value: realtime speech agents, voice UI/UX, prompt/audio routing, and guardrails for safe tool execution. * Build/own an evaluation harness: * curated test sets + scenario suites * automated scoring / rubric-based graders * prompt/model/version tracking * canary + A/B experimentation and safe rollout patterns * Design data + retrieval pipelines: * chunking, enrichment, metadata strategy * hybrid retrieval (vector + keyword + structured filters) * re-ranking, caching, and latency optimization * multi-tenant safety and data isolation * Integrate with and extend our platform primitives: * Django/DRF/ASGI services * async execution + queues + workflow orchestration * PostgreSQL + pgvector * Kubernetes deployments, autoscaling, and cost controls * Establish engineering rigor for agents: * observability (traces, spans, structured logs) * reliability patterns (timeouts, retries, circuit breakers, graceful degradation) * security/privacy controls for data access and tool execution * Strong software engineering fundamentals (design, testing, code quality, performance, security). * Production experience deploying AI systems in front of users (not just notebooks/demos). * Experience building agentic or LLM-powered systems with memory and tool use. * Comfort working across application + infrastructure layers: APIs, background jobs, data stores, and deployment. * Hands-on experience with at least one agent framework (or equivalent custom implementation), such as: * LangChain / LangGraph * LlamaIndex * AutoGen / CrewAI-style multi-agent patterns * Strong understanding of retrieval and vector search concepts: embeddings, indexing, filtering, evaluation. * Experience with vector databases and/or search stacks (e.g., Pinecone, Chroma, Weaviate, Qdrant, pgvector). * Experience designing evaluation systems (offline eval, human eval loops, production monitoring, prompt/model regression). * Experience building voice/real-time systems (streaming, WebRTC or similar), and/or integrating speech (STT/TTS) into production applications. * Experience building durable, long-running workflows (Temporal or similar orchestration engines). * Familiarity with observability tooling (OpenTelemetry, Datadog, or similar). * Experience shipping multi-tenant SaaS systems with strong privacy boundaries. * System design for agentic applications (state, memory, evaluation, failure modes). * Practical retrieval/RAG design (data modeling, indexing, relevance, latency). * Production engineering practices (testing strategy, observability, rollouts). * Ability to communicate tradeoffs and make good technical decisions under uncertainty. * Compensation: Competitive salary commensurate with experience (Senior level) * Location: Remote * Type: Full-time * Requirements: Overlap with Americas timezones for collaboration; reliable high-speed internet

Software Engineer (AI-Forward) As a Software Engineer with Texas Sports Academy, you play a key role in building the software that runs our school — student records, academic mastery tracking, training data, parent portals, admissions, and the AI-powered tools our guides and coaches use every day. This is a senior, AI-forward seat. You work directly with the founders, ship code every week with AI in your loop, and own the LLM-powered features that make our school feel nothing like a traditional school. What you will be doing • Designing, building, and shipping product features across the full stack every week, with AI coding tools running alongside you., • Building real LLM-powered product features: tutoring agents, parent-facing copilots, coach-facing dashboards, retrieval over student data, evals for every one of them., • Working directly with the founders on scope, architecture, and trade-offs — no PM layer in between., • Owning the reliability, security, and cost of both classical systems and LLM pipelines., • Running your own AI coding workflow — prompts, subagents, custom tools, MCP servers — and raising the bar on how the whole team uses AI., • Writing evals and regression tests for AI features the same way you'd write unit tests for classical code. What you will NOT be doing • Pretending AI is optional — if you're not already coding with Claude Code, Cursor, Codex, or an equivalent agent loop every day, this role is not for you., • Writing tickets for junior engineers to implement., • Sitting in status meetings all day — few meetings, more shipping., • Working on a narrow slice of a giant codebase. Key responsibilities • Ship production code and AI features real students, parents, and staff rely on every day., • Own at least one major system end-to-end., • Move fast — features go from idea to production in days, not quarters — without breaking things., • Raise the AI-engineering bar as the team grows., • Bachelor's or master's degree in Computer Science, Engineering, Math, or Physics., • 6+ years of full-time production engineering experience shipping software to real users at real scale., • At least one prior senior, staff, or tech-lead role., • Daily, fluent use of AI coding tools (Claude Code, Cursor, Codex, Windsurf, Aider, or equivalent) as your default way of writing software., • At least one shipped LLM-powered feature in production, with an eval story., • Strong skills in a modern web stack (TypeScript / React / Node or Python / Postgres / AWS or GCP)., • Excellent written English, • Legal authorization to work from India or Pakistan as a remote contractor with a US company. Nice to have • Master's or PhD from a tier-1 institution., • Former founder, first-five engineer at a funded startup, or shipped products that reached real users at scale., • Agent frameworks (LangGraph, CrewAI, Mastra, custom), vector search / RAG at scale, evals (Braintrust, LangSmith, custom), prompt caching, MCP servers, structured output / tool-use reliability, voice agents., • Public GitHub or a personal AI project we can actually try., • A personal project you built because you wanted to.

Description: VAST Data is looking for a Senior Software Engineer to join our growing team! This is a great opportunity to join one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence. Take part in the design and implementation of the internals of the next-generation hugely scalable and highly performant analytical and vector database. "VAST's data management vision is the future of the market."- Forbes VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud. Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history. Requirements: Must haves: • Strong experience and expertise in low-level C/C++ software engineering design, coding, integration, and debugging of multi-threaded systems, • Experience in designing algorithms and data-structures, • BSc (MSc -advantage) degree in Computer Science, Engineering, or equivalent Advantages: • Experience in development of distributed systems and databases - an advantage, • Knowledge of query engine internals, • Python or Java expertise

Location: Remote (with occasional travel) Base Location: Salt Lake City, UT, US Employment Type: Full-time Salary Range: $150K - $260K (Based on YOE; potential flexibility for more tenured candidates) We are a rapidly growing, well-funded technology company trusted by enterprise clients, developing a leading AI-powered platform for a specialized professional sector. Join our small, highly efficient engineering team to take ownership of complex systems and ship features quickly in a high-velocity, modern tech stack environment. We are looking for a Staff, Senior, or Principal Software Engineer with a strong background in software engineering leadership to drive the design, implementation, and reliability of our core product. You will take full ownership of features from concept to production in a distributed, modern stack. • Ship features rapidly within an Elixir/Phoenix/LiveView monolithic application, taking full accountability for the entire feature lifecycle, from design through deployment., • Build and maintain numerous third-party integrations (currently 30+) using consistent adapter patterns and the Tesla/Finch HTTP client stack., • Work within and enhance a distributed Elixir environment (libcluster on Kubernetes) to ensure exceptional scalability, reliability, and performance., • Contribute to system quality by utilizing LiveView tests, Hammox for contract testing, and Wallaby for end-to-end user flows., • Utilize advanced observability tools (GCP logging, AppSignal, Prometheus, Grafana) to debug complex systems and continuously improve performance., • Engage directly with cutting-edge LLM-powered features, including prompt routing, caching, JSON mode, function calling, embeddings (pgvector), and evaluation frameworks., • Collaborate on a fully defined, version-controlled infrastructure where all components are managed by Terraform within a GCP/GKE environment., • Embrace an author ownership culture: write, test, ship, and be responsible for the reliability of your code in production., • Experience: 5+ years of experience in a software engineering leadership role (Staff, Senior, Principal, or equivalent)., • Core Proficiency: Strong, practical experience with the Elixir, Phoenix, and LiveView framework., • Distributed Systems: Experience designing and debugging distributed applications running on platforms like Kubernetes (GKE)., • Testing/Quality: Proven ability to implement comprehensive testing strategies, including LiveView tests and E2E testing., • Infrastructure as Code (IaC): Direct experience with Terraform for managing cloud and application infrastructure., • AI/LLMs (Preferred): Familiarity or experience with developing robust systems that utilize LLMs (e.g., prompt engineering, caching, function calling, or vector databases like pgvector)., • Ownership: A demonstrated history of taking features from end-to-end, including high commitment to production reliability and performance monitoring., • Work Style: Thrives in a high-velocity culture with daily small feature/bug fix deployments and multi-day, rather than multi-week, feature cycles., • Highly competitive salary package ($150K - $260K) based on experience., • Meaningful early-stage equity (0.066% - 0.1%)., • Fully Remote work arrangement, offering flexibility (occasional travel for team collaboration is encouraged)., • Work with a modern and highly efficient tech stack including Elixir, Phoenix, LiveView, Rust/Rustler, and Terraform/GCP/GKE., • The opportunity to build industry-leading AI tools that automate mission-critical tasks for enterprises. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

About the role: Samsara’s Revenue Operations AI & Data Team is building the future of how we go to market — with intelligence, personalization, and speed. We’re a high-impact team of builders, scientists, and strategists focused on transforming sales operations through AI. Our mission is to help sellers reach the right customer at the right time with the right message — and to put everything they need at their fingertips, whether that’s data from Salesforce, context from a past call, or content that wins deals. As a Senior Software Engineer, AI Platform, you’ll lead the design and development of core platform capabilities that power Samsara’s next generation of AI-driven experiences. You’ll focus on building scalable, reliable systems that enable multi-step AI workflows, model execution, and integrations across products, rather than individual features. This role sits at the intersection of distributed systems and applied AI, where correctness, extensibility, and operational excellence matter as much as speed. You’ll partner closely with AI engineers, backend engineers, and cross-functional teams to shape shared execution patterns, define platform contracts, and evolve the foundations that support S+Engine and future AI use cases. You’ll be empowered to make architectural decisions, move fast on early iterations, and help turn emerging AI capabilities into a durable, production-grade platform that other teams can build on with confidence. This is a remote position open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area. You should apply if: • You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely., • You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment., • You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers., • You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. In this role, you will: • Build and evolve core AI platform capabilities that enable teams to develop, run, and scale GenAI-powered applications across Samsara., • Design and implement shared execution patterns, APIs, and services that support multi-step AI workflows and system integrations., • Develop reliable, extensible backend systems that power AI-driven experiences used across the sales funnel and beyond., • Work hands-on across the stack, from backend services and execution infrastructure to integration with AI models and tooling., • Collaborate closely with AI engineers, data scientists, product partners, and sales operators to turn emerging AI use cases into production-ready platform capabilities. Minimum requirements for the role: • 6+ years of professional software engineering experience (excluding internships/contract roles), with a strong emphasis on building and operating large-scale, production backend or platform systems., • Hands-on experience building and operating GenAI-powered systems in production, including integration with large language models (LLMs) or similar AI services., • Experience designing or implementing GenAI workflows such as prompt orchestration, tool execution, routing, or multi-step reasoning pipelines., • Proven experience designing and implementing distributed systems that support multi-step execution, asynchronous workflows, and well-defined service contracts., • Strong proficiency in backend programming languages (e.g., Python, Java, Go, or similar) and experience building reliable services with clear input/output schemas., • Expert in Python and GenAI frameworks (e.g., LangChain, OpenAI SDK, MCP, etc.), • Familiarity with GenAI quality and safety considerations, such as validation of model outputs, structured responses, retries/fallbacks, and basic evaluation or monitoring approaches., • Strong product sense and ability to work in fast-paced, cross-functional environments., • Located in and authorized to work in the United States (this is a fully remote role). An ideal candidate also has: • Experience working on AI products in a sales, go-to-market, or revenue operations context., • Familiarity with enterprise tools like Salesforce, Gong, Outreach, or similar CRM/enablement platforms., • Experience integrating with vector databases, retrieval systems, or streaming voice/chat pipelines., • A track record of leading major technical initiatives or mentoring engineers in high-growth teams., • Exposure to infrastructure considerations such as cost optimization, model evaluation, observability, and latency management.

If residing within commutable distance to one of our offices, a hybrid schedule would be required (3 days in office, 2 days work from home). Those outside of commutable distance may be considered on a remote basis. SUMMARY: Avetta’s SaaS platform connects the world’s leading organizations with qualified suppliers, contractors, and vendors. We bring unmatched visibility to companies through cloud-based technology and human insights to improve supply chair risk and compliance. As a result, we foster sustainable growth for businesses and their supply chains globally. Our SaaS subscription software is used by 85k+ active customers in over 100 countries. We are seeking a highly skilled AI Engineer to join our AI team and help build the next generation of AI solutions. This role will report directly to the Director of AI Strategy & Innovation and will be instrumental in developing and deploying advanced AI-powered platforms and intelligent agentic systems that transform how organizations manage safety, compliance, and risk. You will work at the intersection of applied AI research and production engineering, building sophisticated multi-agent systems, RAG architectures, and intelligent assistants that solve complex enterprise challenges. This is a unique opportunity to shape how AI transforms supply chain safety and risk management on a global scale. The position requires strong technical leadership, exceptional communication skills, collaboration across departments, delivering impactful outcomes, and a commitment to innovation in AI technologies. ESSENTIAL DUTIES AND RESPONSIBILITIES: AI Platform Development & Architecture · Design and implement production-grade AI systems, including intelligent assistants and multi-agent orchestration platforms. · Build agentic workflows using frameworks such as CrewAI, AutoGen, Threads, LangChain, and LangGraph for orchestration. · Develop and maintain RAG (Retrieval-Augmented Generation) pipelines for enterprise knowledge bases. Integrate and extend enterprise AI tools through custom solutions. · Collaborate with senior stakeholders to design, develop, and deploy custom AI solutions to solve complex business problems. Production Engineering · Develop robust, maintainable, and well-tested code for enterprise AI applications. · Optimize API integrations with LLM providers (OpenAI, Anthropic) and enterprise platforms. · Ensure system security and compliance with enterprise standards. Developer Experience & Productivity · Utilize modern AI development tools such as Claude Code, Cursor, Windsurf, and GitHub Copilot. · Build internal automation tools to accelerate AI development workflows. · Stay current with emerging AI technologies and integrate them into Avetta’s platform. Leadership & Collaboration · Lead technical and strategic direction for AI initiatives. · Lead key projects, architecture reviews, and technical discussions around automation, augmentation, and acceleration of workflows and processes using AI techniques. · Communicate complicated technical concepts clearly to technical and non-technical stakeholders, including senior executives. · Drive collaboration and crucial conversations across business functions centering around business processes and workflows. · Drive innovation and introduce relevant cutting-edge technologies to maintain Avetta’s industry leadership. PREFERRED QUALIFICATIONS: · 5-8 years of professional software engineering experience, with 2+ years focused on operationalizing/productionizing AI/ML systems. · Deep expertise in Python; experience with Java, C/C++, or R is a strong plus. · Proven track record building and deploying production AI systems with LLMs (such as OpenAI, Anthropic Claude, Google Gemini, AWS Bedrock, etc.). · Good understanding of agents, RAG architectures, vector databases, and semantic search. · Strong fundamentals in software engineering, testing, CI/CD, and system design. · Excellent communication skills for engaging with senior leadership. · Strong experience with agentic frameworks (such as CrewAI, AutoGen, LangGraph). · Familiarity with enterprise SaaS environments and B2B product development. · Experience with agentic AI development tools (such as Claude Code, Cursor, Windsurf, GitHub Copilot, Devin). · Familiarity with observability platforms (LangFuse, LangSmith, Weights & Biases). · Experience with fine-tuning and LLM optimization. · Track record of mentoring engineers and driving technical strategy. IDEAL EDUCATION & TRAINING: · Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience). At Avetta, we are committed to salary transparency to ensure equitable hiring practices and promote trust. The salary range included in this job posting is based on internal and market data and the role's responsibilities. The final compensation offered to a candidate will be determined by several factors, including work location, job-related skills, experience, and relevant education or training. The salary range for this position is $123,000 - $174,000 USD per year, with a potential bonus. We also offer a comprehensive benefits package, which includes health, dental and vision insurance, 401(k), and PTO. Avetta is an equal opportunity employer and values diversity. We encourage individuals from all backgrounds and experiences to apply. To apply for the AI Engineer position, please submit your online application by April 30, 2026, at 11:59 PM PST. #LI-HYBRID #LI-REMOTE

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is seeking an exceptional Senior Staff Software Engineer to join the Claude Developer Platform team and serve as the senior-most individual contributor across API Engineering. Since launch, the Claude API has seen rapid growth and adoption by companies of all sizes to build AI applications with our industry-leading models. The API serves as the primary channel for safely and broadly distributing AI's benefits across all sectors of the economy. This role sets the technical direction for the systems that make Claude accessible to developers, enterprises, and partners at scale. You will operate at the intersection of technical strategy and execution, partnering closely with Research, Inference, Platform, Infrastructure, and Safeguards to ensure the Claude API is reliable, capable, and positioned to grow with Anthropic's ambitions. This is a high-agency role that spans all API Engineering teams: API Core owns the foundational reliability and performance of the Claude API; API Capabilities ships frontier model capabilities—vision, tool use, computer use—directly to developers; API Knowledge builds retrieval and grounding systems that let Claude reason over external data; API Distributability ensures Claude reaches customers wherever they need it, with the enterprise-ready infrastructure to support it; and API Agents builds the infrastructure for long-horizon agentic workflows in production. * Define and drive multi-year technical strategy for the Claude API, setting direction across API Core, Capabilities, Knowledge, Distributability, and Agents. * Identify and personally lead the highest-complexity, highest-impact engineering initiatives spanning multiple teams. * Serve as the primary technical decision-maker for major architectural decisions with org-wide scope. * Partner with Research to evaluate and integrate frontier capabilities; work with Inference and Platform for reliable delivery at scale; collaborate with Infrastructure and Safeguards for reliability, security, and responsible deployment. * Mentor and develop Staff-level engineers across the org. * Drive alignment across Product, GTM, Safety, and beyond while proactively identifying and addressing systemic technical risks. * Have 12+ years of engineering experience with a clear track record operating at Staff or Senior Staff level. * Have demonstrably shaped technical strategy for large-scale API or distributed systems platforms. * Drive the highest-leverage technical outcomes without formal authority—you lead through influence, quality of thinking, and trust. * Have deep expertise in distributed systems and API architecture, and are effective writing design docs, making architectural calls, and coding in critical paths. * Are highly effective across org boundaries—you build trust with Research, Inference, Infrastructure, Safeguards, and business stakeholders alike. * Bring strong product instincts and a craftsperson's approach to API design; you communicate clearly with both technical and non-technical audiences. * Languages: Python, TypeScript * Frameworks: FastAPI, React * Infrastructure: GCP, Kubernetes, Cloud Run, AWS, Azure * Databases: PostgreSQL (AlloyDB), Vector Stores, Firestore * Tools: Feature Flagging, Prometheus, Grafana, Datadog Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in New York or the San Francisco Bay Area as these positions are part of an SF- or NY-based team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit ___ directly for confirmed position openings. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about ___ for using AI in our application process

* Work Type: Fully Remote * Employment: Full-Time * Experience: Requires 2+ years of professional backend software engineer experience * Salary Range: $50,000 - $90,000 per year * Visa Sponsorship: Not available for this role The successful candidate will join a growth-stage company in a crucial role, developing the core infrastructure and systems that power a unique, innovative platform10. This is an opportunity to make a major contribution in a fast-paced environment • Architect and build scalable, high-performance backend systems utilizing modern languages, including Python, Go, Rust, and WebAssembly, • Utilize various cloud services, such as Amplify, Lightsail, and Fargate, to construct a robust and secure infrastructure, • Work with both relational databases, like PostgreSQL, and NoSQL solutions, such as MongoDB and vector databases, • Work in close partnership with the foundational engineering team to deliver features that have a high impact, • Be given the opportunity to influence the overall direction and product vision of the platform, • A minimum of 2+ years of full-time, post-graduate software engineering experience is required, • Demonstrated proficiency in programming languages like Python and Go, • Familiarity with cloud infrastructure, specifically AWS services (Amplify, Lightsail, Fargate), and the implementation of Access Control Lists (ACL), • Experience with various databases, including PostgreSQL, MongoDB, and Vector Databases, • Must be adaptive and able to move quickly, capable of rapid response and changing projects as needed (you will not be responsible for more than two codebases concurrently), • Must have the ability to work during standard Pacific Standard Time (PST) hours, • Excellent written and verbal communication skills in English

AssetWatch serves global manufacturers by powering manufacturing uptime through the delivery of an unparalleled condition monitoring experience, with a passion to care about the assets our customers care for every day. We are a devoted and capable team that includes world-renowned engineers and distinguished business leaders united by a common goal – To build the future of predictive maintenance. As we enter the next phase of rapid growth, we are seeking people to help lead the journey. We are hiring a Senior Applied AI Engineer to design and build reusable AI systems that accelerate innovation across the organization. This is a senior individual contributor role focused on rapidly prototyping LLM and agent-based workflows, architecting clean and reusable patterns, and partnering closely with our specialty data science team and Head of AI. You will translate strategy and ideas into structured, modular systems that can be handed off to production engineering teams or integrated via well-defined APIs. We expect end-to-end ownership, pragmatic tradeoffs, and a bias for action. Key Responsibilities AI Prototyping & Workflow Development • Design and build end-to-end LLM-powered workflows, including RAG pipelines, tool-calling systems, and agent architectures, • Rapidly prototype internal AI assistants and automation tools across business functions, • Integrate data science models into agent-based workflows, • Translate ambiguous ideas into practical, working systems Reusable Architecture & Enablement • Develop shared connectors to major LLM providers and internal data sources, • Create reusable agent templates and AI development patterns, • Design modular systems with clean API boundaries for production handoff, • Implement lightweight evaluation, logging, and tracing patterns appropriate for internal deployment Cross-Functional Collaboration • Partner deeply with specialty data science teams to operationalize models, • Work closely with the Head of AI to shape technical direction and AI strategy, • Communicate architectural decisions and tradeoffs clearly to technical and non-technical stakeholders Qualifications Education • BS in Computer Science, Engineering, Mathematics, or related field required; MS/PhD preferred but not required if experience demonstrates equivalent capability. Technical & professional experience • 6+ years of professional software or machine learning engineering experience building backend or distributed systems, • Strong proficiency in Python, including experience building modular, testable, and well-structured codebases., • Proficiency in SQL expected, including intermediate querying and basic ETL jobs, • Hands-on experience developing LLM-powered applications, including RAG pipelines, prompt orchestration, structured outputs, and tool-calling workflows, • Experience working with vector databases and designing retrieval strategies, • Experience designing and exposing RESTful or event-driven APIs for internal or external consumption, • Familiarity with agent frameworks or orchestration libraries (e.g., LangChain, LlamaIndex, Semantic Kernel, or similar), • Experience integrating ML or statistical model outputs into production-oriented systems, • Understanding of evaluation concepts for LLM systems (prompt versioning, offline evals, feedback loops, or guardrails), • Comfortable operating in ambiguity and driving initiatives end-to-end with minimal oversight Preferred • Worked in rapid prototyping and deployment ecosystems, • Experience building internal AI tooling, SDKs, or developer enablement frameworks, • Familiarity with cloud environments (AWS preferred), containerization (Docker), and basic deployment patterns, • Experience working with streaming or ETL pipelines for ingesting structured and unstructured data, • Exposure to observability practices (logging, tracing, metrics) in application systems, • Experience handing off prototypes to production engineering teams in a clean, scalable manner #LI-REMOTE What We Offer: AssetWatch is a remote-first company that puts people at the center of everything we do. We want our team members to thrive - that’s why we offer a range of benefits and perks designed to support your well-being, growth, and work-life balance. • Competitive compensation package including stock options, • Flexible work schedule, • Comprehensive benefits including retirement plan match, • Opportunity to make a real impact every day, • Work with a dynamic and growing team, • Unlimited PTO We have a distributed team that works remotely across locations in the United States and Ontario, Canada. Collaboration within core working hours is required.

As a pioneer in digital outdoor navigation with a suite of apps, onX was founded in Montana, which in turn has inspired our mission to awaken the adventurer inside everyone. With more than 400 employees located around the country working in largely remote / hybrid roles, we have created regional “Basecamps” to help remote employees find connection and inspiration with other onXers. We bring our outdoor passion to work every day, coupling it with industry-leading technology to craft dynamic outdoor experiences. Through multiple years of growth, we haven’t lost our entrepreneurial ethos at onX. We offer a fast-paced, growing, tech-forward environment where ownership, accountability, and passion for winning as a team are essential. We value diversity and believe it leads to different perspectives and inspires both new adventures and new growth. As a team, we’re hungry to improve, value innovation, and believe great ideas come from any direction. Important Alert: Please note, onXmaps will never ask for credit card or SSN details during the initial application process. For your digital safety, apply only through our legitimate website at ___ or directly via our ___ onX is seeking a talented Senior Backend Engineer to join our Content Delivery team. In this role, you will build the backend infrastructure that powers offline map experiences for millions of outdoor enthusiasts. You will work on high-performance data pipelines, map tile generation and delivery systems, and large-scale geospatial data processing -- turning terabytes of cartographic data into fast, reliable, offline-capable map content across onX's suite of apps. We practice data-driven decision making and emphasize experimentation. Engineers on our team have ownership and autonomy to create, develop, and analyze their work in the context of greater company objectives. This is a great opportunity to solve hard problems at the intersection of geospatial technology, large-scale data processing, and outdoor recreation. This position reports to a Software Engineering Manager III. Our backend engineers primarily work in Go running in Kubernetes on Google Cloud Platform. The Content Delivery team works extensively with geospatial technologies (PostGIS, vector/raster tile processing, GEOS), GCP data services (Cloud Storage, Dataflow, Cloud Functions, Firebase), and CDN/caching infrastructure for map tile delivery. Experience with large-scale ETL pipelines and offline-first content synchronization patterns is particularly relevant. (Essential Job Duties) • Build and maintain scalable services to support new features and products across the onX suite of apps, • Build high-performance backend services and data pipelines for map tile generation, compression, caching, and delivery, • Design and implement systems for processing terabytes of cartographic and geospatial data using distributed architectures, • Develop and optimize offline-first architecture and content synchronization patterns across mobile platforms, • Architect CDN strategies and caching layers for efficient tile delivery at scale, • Write unit, integration, and acceptance tests, • Participate in and drive architectural decisions involving geospatial data services and delivery infrastructure, • Collaborate effectively with cross-functional team members and stakeholders, • Leverage and extend existing onX platform services and patterns, • Design and instrument systems to monitor key performance indicators for data pipelines and tile delivery, • Participate in an on-call schedule to support backend services, • Lead by example -- embody onX's company values, fostering a culture of technical excellence, ownership, and collaboration onX has created a thriving distributed workforce community across several US locations. This position can be performed from an onX corporate office, “Basecamp,” or “Connection Hub". • Corporate Offices: onX was founded in Montana with offices in Missoula and Bozeman. If you prefer to work in an office at least part of the time this is a great option., • Basecamps: Basecamps are established virtual workforce communities where a sizable number of distributed team members group for work, volunteering, socializing, and adventure., • Our current Basecamps are located within a 90-mile radius of the following: Austin, TX; Charlotte, NC; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA., • Connection Hubs: Connection Hub locations are smaller, emerging communities of distributed team members., • Our current Connection Hubs are located within a 60-mile radius of the following: Boise, ID; Charleston, SC; Dallas/Fort Worth, TX; Phoenix, AZ; Richmond, VA; Spokane, WA; and Vermont., • B.S., M.S., or equivalent experience in computer science or a related field, • Six or more years of professional software development experience, with API development or backend data infrastructure as a primary focus for at least three of those years, • Strong Go development experience for high-performance backend services and data pipelines, • Experience with large-scale data processing -- handling terabytes of data with distributed systems, • PostgreSQL database design and performance optimization, • Experience building and debugging distributed, scalable microservices architecture, • Familiarity with Docker, Kubernetes, and infrastructure-as-code technologies such as Terraform, • Strong computer science foundation, • You evaluate technologies and solutions based on merit, stability, performance, and the ability to debug, • You believe that your profession is a craft and you're driven to improve every day, • You are an advocate for the customer and their experience, • You take ownership and get stuff done Though not required, we would be thrilled to consider candidates with any of the following: • Geospatial technologies: vector/raster tile processing, PostGIS, GIS concepts, GEOS, • Map tile architecture: tile generation, compression, caching strategies, CDN optimization, • GCP expertise: Cloud Storage, Dataflow (ETL), Cloud Functions, Firebase, • Experience with offline-first architecture and content synchronization patterns, • Familiarity with geospatial concepts such as quadtrees, spatial indexing, and coordinate systems, • Experience with Elixir or other functional programming languages, • Familiarity with Google Cloud Platform beyond core services, • Experience working with a distributed team, • Interest in mentoring junior engineers and being mentored by senior engineers onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $146,000 to $182,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance. • Competitive salaries, annual bonuses, equity, and opportunities for growth, • Comprehensive health benefits including a no-monthly-cost medical plan, • Parental leave plan of 5 or 13 weeks fully paid, • 401k matching at 100% for the first 3% you save and 50% from 3-5%, • Company-wide outdoor adventures and amazing outdoor industry perks, • Annual “Get Out, Get Active” funds to fuel your active lifestyle in and outside of the gym, • Flexible time away package that includes PTO, STO, VTO, quiet weeks, and floating holidays In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at ___. Position open until filled. #LI-Remote At onX, we believe that unique perspectives make us stronger. By bringing together people with different experiences, ideas, and viewpoints, we fuel innovation and move closer to our mission of awakening the adventurer in everyone. We are proud to be an equal opportunity employer and are committed to fairness not only in hiring, but also in development, compensation, and promotion. Our goal is to build an inclusive community where every team member can show up authentically and thrive. Together, we win as one team. Come join us! onX does not sell any Personal Information, but we may transfer employment related records to our service providers or third parties that provide business services to onX or as required by law. For more information, see our . As part of our interview process, your conversation may be recorded for documentation purposes to allow interviewers to focus fully on the discussion. Recordings are confidential and accessible only to authorized personnel. Please note, onX respects all applicable laws regarding recording consent, and you will have an opportunity to opt-out if preferred.

About the role: Samsara’s Revenue Operations AI & Data Team is building the future of how we go to market — with intelligence, personalization, and speed. We’re a high-impact team of builders, scientists, and strategists focused on transforming sales operations through AI. Our mission is to help sellers reach the right customer at the right time with the right message — and to put everything they need at their fingertips, whether that’s data from Salesforce, context from a past call, or content that wins deals. As a Software Engineer II, AI Platform, you’ll help implement the design and contribute to the development of core platform capabilities that power Samsara’s next generation of AI-driven experiences. You’ll focus on supporting senior ICs on the team by building scalable, reliable systems that enable multi-step AI workflows, model execution, and integrations across products, rather than individual features. This role sits at the intersection of distributed systems and applied AI, where correctness, extensibility, and operational excellence matter as much as speed. You’ll partner closely with Senior ICs, AI engineers, and cross-functional teams to shape shared execution patterns, define platform contracts, and evolve the foundations that support S+Engine and future AI use cases. You’ll be empowered to make architectural decisions, move fast on early iterations, and help turn emerging AI capabilities into a durable, production-grade platform that other teams can build on with confidence. This is a remote position open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area. You should apply if: • You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely., • You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment., • You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers., • You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. In this role, you will: • Build and evolve core AI platform capabilities that enable teams to develop, run, and scale GenAI-powered applications across Samsara., • Design and implement shared execution patterns, APIs, and services that support multi-step AI workflows and system integrations., • Develop reliable, extensible backend systems that power AI-driven experiences used across the sales funnel and beyond., • Work hands-on across the stack, from backend services and execution infrastructure to integration with AI models and tooling., • Collaborate closely with AI engineers, data scientists, product partners, and sales operators to turn emerging AI use cases into production-ready platform capabilities. Minimum requirements for the role: • 3+ years of professional software engineering experience (excluding internships/contract roles), with a strong emphasis on building and operating large-scale, production backend or platform systems., • Hands-on experience building and operating GenAI-powered systems in production, including integration with large language models (LLMs) or similar AI services., • Experience implementing GenAI workflows such as prompt orchestration, tool execution, routing, or multi-step reasoning pipelines., • High proficiency in backend programming languages (e.g., Python, Java, Go, or similar) and experience building reliable services with clear input/output schemas., • Expert in Python and substantial knowledge on different GenAI frameworks (e.g., LangChain, OpenAI SDK, MCP, etc.), • Familiarity with GenAI quality and safety considerations, such as validation of model outputs, structured responses, retries/fallbacks, and basic evaluation or monitoring approaches., • Strong product sense and ability to work in fast-paced, cross-functional environments., • Located in and authorized to work in the United States (this is a fully remote role). An ideal candidate also has: • Experience working on AI products in a sales, go-to-market, or revenue operations context., • Familiarity with enterprise tools like Salesforce, Gong, Outreach, or similar CRM/enablement platforms., • Experience integrating with vector databases, retrieval systems, or streaming voice/chat pipelines., • A track record of leading major technical initiatives or mentoring engineers in high-growth teams., • Exposure to infrastructure considerations such as cost optimization, model evaluation, observability, and latency management.

About GoodLeap:GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. We are seeking a highly skilled Senior Full-Stack Software Engineer to bring technical excellence, initiative and leadership to our team. As a Senior Engineer, you’ll be a key contributor to the design, development, and scaling of our platform, working closely with product managers, designers, and fellow engineers to build solutions that are secure, reliable, and performance-optimized. You’ll work across the stack, you’ll lead initiatives from concept to delivery. This is a full-stack position with a strong emphasis on frontend development and close collaboration with the Product team. You’ll take the lead on major initiatives—planning features, defining MVPs, breaking projects into actionable phases, and helping to remove blockers for the team. This is an exciting opportunity for someone who thrives in a fast-paced environment and is motivated to take ownership of high-impact work within a growing company. * Lead the design and development of scalable, secure applications across the stack—spanning modern React UIs to high-performance backend services. * Design and build architecture that supports AI/ML-powered features across user-facing and API surfaces. * Drive initiatives end-to-end—from ideation and planning to execution—by breaking down complex projects into MVPs and manageable, prioritized releases. * Collaborate with product and engineering leaders to align solutions with business objectives. * Ensure compliance with security best practices and data privacy regulations. * Mentor mid-level and junior engineers, fostering a culture of growth, learning, and technical excellence. * Evaluate and implement new technologies and tools to continuously improve our applications and development processes. * Communicate clearly, engage with stakeholders, product managers and cross-functional teams to align on goals, share progress and manage expectations. * 5+ years of full-stack software development experience using Node.js, React, TypeScript, and REST APIs, with experience in state management (Redux, XState, Nanostores a plus), preferably with at least 1+ year working with AI/ML solutions or LLM. * Familiar with implementing and maintaining CI/CD pipelines to streamline development, testing, and deployment processes. * Familiarity with MLOps, CI/CD for AI pipelines, and AI observability tools. * Deep understanding of architecture and best practices, including RESTful APIs, databases, secure coding, and responsive design. * Experienced with AWS architecture, including Lambda, ECS, S3, DynamoDB and Step Functions. * Familiarity with designing and developing application layers that interface with large language models (LLMs) or machine learning (ML) systems. * Experience building and integrating LLM features (e.g., via OpenAI, Claude, Vertex AI, or similar), including prompt design, vector storage, and retrieval strategies. * Build tools and services to help other team members experiment and ship AI-enhanced features responsibly and efficiently. * Excellent communication skills with the ability to influence technical direction and collaborate effectively across product and engineering teams.