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Aventis Solutions is igniting the AI revolution: Now, we’re partnering with a high-growth US technology firm in the food and drink / hospitality sector that is undergoing one of the most significant AI-led digital transformations in its industry. From real-time data intelligence to personalised customer experiences and GenAI-enabled automation, this company is building a next-generation digital ecosystem, powered by insight, innovation, and intelligence at scale. At the heart of this transformation sits a newly created AI Strategy & Innovation function, responsible for embedding data, analytics, and AI thinking into every decision the business makes. As an AI Analyst, you’ll play a key role in bringing this vision to life, turning data into actionable intelligence, uncovering opportunities for AI application, and shaping how insights are delivered across the organisation. This is an opportunity to work alongside senior AI leaders, engineers, and strategists, contributing to initiatives that redefine how technology powers customer experience, operations, and product development. Key Details: • 4x roles available: Mid-level, Senior, Lead/Principal, • Salary Range: $95,000 to $175,000 base, plus 15% bonus, private healthcare, meal vouchers at partnership restaurants, and career development sponsorships, • Location: Remote-first with technology hubs in New York and San Francisco, • Career Outlook: A clear path to progress into Senior/Principal AI Analyst, Head of or equivalent, or AI Product Manager roles. This role sits within the newly formed AI Strategy & Innovation team, offering exceptional exposure to leadership and cutting-edge projects. Key Experience and Skills Desired: • AI and Analytics Expertise: Proven experience using modern analytics tools to extract insights from large and complex datasets. Familiarity with machine learning workflows, model evaluation, and basic LLM applications preferred., • Data Storytelling: Ability to translate technical findings into clear, actionable insights for non-technical stakeholders. Experience with data visualisation tools such as Power BI or Tableau is highly valued., • GenAI and Emerging Tech Curiosity: Interest or hands-on experimentation with OpenAI, Azure AI Studio, or similar GenAI frameworks for automation, content generation, or customer engagement., • Business Understanding: A commercially aware mindset, with experience using data to inform product development, marketing strategy, or customer experience improvements., • Collaboration and Communication: Strong cross-functional communication skills, able to partner with engineers, data scientists, and business leaders to shape and execute data-led initiatives., • Continuous Learning: A passion for innovation, curiosity about the latest developments in AI and data science, and an appetite to grow within a fast-evolving technology environment. Role Overview: This is your opportunity to join a high-impact, high-visibility AI team at the start of its journey. You’ll analyse data, prototype AI solutions, and contribute to strategic innovation projects that use data and machine intelligence to create smarter, faster, and more intuitive business decisions. If you want to learn fast, work with industry-leading technology, and be part of a team shaping the future of digital transformation, this is the opportunity. Believe the AI hype. Be part of building it. Interested? Please submit your CV via LinkedIn or message Billy Hall for further information. Aventis is working on behalf of its partner.

Contract till EOY We're looking for a Senior Full Stack Engineer to design, build, and maintain enterprise-grade applications across the full development stack. You'll work across front-end, back-end, cloud infrastructure, and AI-powered features with minimal day-to-day oversight. If you thrive in ambiguous environments and take pride in clean, scalable code, this role is for you. The Full Stack Engineer is responsible for both front end and backend development tasks, including database tasks. This individual will be well versed with programming languages that are required for client (user) side development, as well as integration approaches and technologies to bridge contemporary front-end implementations with legacy backend systems. Responsibilities • Design and develop scalable web applications using .NET and Angular, • Build and maintain CI/CD pipelines in Azure DevOps to support continuous delivery, • Manage and optimize Azure SQL databases, including schema design and query performance, • Integrate Azure OpenAI and Computer Vision services into production applications, • Deploy and manage containerized workloads using Docker and Kubernetes, • Debug complex issues across the full stack, from UI rendering to database queries to cloud infrastructure, • Collaborate with product, architecture, and business teams to translate requirements into working software, • Own your work end to end, from design through deployment and monitoring Qualifications • 5+ years of full stack development experience, • Strong proficiency in .NET (Core / 8+ preferred) and Angular (v20 preferred), • Hands-on experience with Azure DevOps, including pipelines, repos, and release management, • Solid understanding of CI/CD principles and pipeline automation, • Experience with Azure SQL, including stored procedures, indexing, and performance tuning, • Working knowledge of Azure OpenAI and Computer Vision APIs, • Proficiency with Docker and Kubernetes for containerized deployments, • Strong debugging and problem-solving skills across distributed systems, • Comfortable working independently with minimal supervision, • Clear communicator who can translate technical decisions for non-technical stakeholders Required Skills • AI, • Angular, • Azure Devops, • CI/CD, • C#.NET, • Computer Vision, • GitHub Preferred Skills

About ues.io ues.io provides a next-generation no-code/pro-code Agentic MCP native application development platform built for extensibility. Unlike traditional no-code/low-code products that limit users to stock functionality, ues.io empowers builders to create complex, production- ready applications—and avoid the “last 10% trap.” Our differentiator: customers are not restricted by platform limitations. Instead, they are empowered to customize and extend their apps via JavaScript/TypeScript, custom and/or third-party modules/components, and advanced AI-powered features. Extensibility is a key to our mission at ues.io making it the platform of choice for teams who want the best of both rapid visual development and true flexibility. Role Overview As a Senior AI Developer at ues.io, you will design, prototype, and productionize transformative AI-driven features at the heart of our product. You will build the intelligence that allows users to create, edit, analyze, and extend applications simply by describing what they want—using natural language and context. You will work hands-on in TypeScript & React (front end), Golang & Python (back end), and additional languages/frameworks to build, integrate, and operationalize these features throughout the user and developer experience. Working closely with UI/UX, engineering, and product peers, you will ensure our AI agents, builder, and analytics tools are not only powerful, but extensible and trustworthy—helping users realize their vision faster, with more flexibility, and less friction. Requirements Nice to Have • Hands-on experience with AI-powered app/page builders, • Architect the next wave of AI-driven no-code/pro-code app development., • Join a remote-first, globally distributed, product-obsessed team. To Apply: NB: You need to be eligible to work in the USA, UK or SA. Send your resume, cover letter describing your most impactful AI-driven feature work (especially with Go, TypeScript, and React), and any relevant project/portfolio/code links. Tell us how you will make ues.io the platform that unlocks truly intelligent app building for everyone.

Job Title: Data Scientist Duration: 12 months Location: Hybrid (Newark, NJ) and requires your on-site presence on a reoccurring weekly basis as determined by your business. Your manager will provide additional details relative to the specific number of days you are expected to be on-site. Job Description: As a Data Scientist, you will partner with Machine Learning Engineers, Data Engineers, Business Leaders and other professionals to build GenAI and ML models to improve advisor experience, perform lead scoring, and increase sales revenue. You will implement AI and machine learning models that will deliver stability, scalability and integration with other advisor products and services. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to deep technical expertise and experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Provide deep technical leadership to a portfolio of high impact data science initiatives involving sales and advisor experience. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments, • Leverage your experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales., • Apply hands-on experience to ensuring best-in-class model development., • Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement., • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure the successful deployment of ML models and application code on Prudential's AI/ML platform., • Bring a deep understanding of relevant and emerging technologies and embed learning and innovation in the day-to-day., • Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies., • Familiarity with Python, SQL, AWS, and JIRA., • Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts., • The Skills and expertise you bring:, • Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs., • Junior category industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions., • Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products., • Ability to influence business stakeholders and to drive adoption of AI/ML solutions., • Experience with agile development methodologies, Test-Driven Development (TDD), and product management., • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business, • Demonstrated ability to mentor and operational management of data science team based on project requirements, resourcing requirements, and planning dependencies as appropriate, anticipate risks and bottlenecks and proactively takes actions, • Excellent problem solving, communication and collaboration skills, and stakeholder management Experience and/or deep expertise with several of the following:, • Machine Learning and AI: 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. Expertise in traditional machine learning models (unsupervised, XGBoost, etc.) and Large Language Models (OpenAI, Claude)., • Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness, etc.), A/B testing, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products., • Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission toinfusecutting-edgeAI/ML/GenAIintopharmacy benefits as aMachine Learning Engineer.We are looking forasoftware engineer with machine learningexpertiseto join us in expandingourAI capabilities, enablingincreased productivity and magical experiences in our products and services. In thisroleyou will be expected to design and implement complex AI systems thatleverageML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-basedQnA.The ideal candidate should be passionate about applying AI/ML concepts to difficult problems anddevelopscalable solutions. Wewantpeople who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software thatleveragesLarge Language Models (LLM), Multimodal LanguageModels(MLM),and other ML models and techniquesto buildamazingcapabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growthstartupand we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: • Developand productionize machine learning (ML) solutions in the fields of Document understanding, Search andQnA,GenAI,Virtual Agents, etc., • Develop andmaintainbackend services using Python, focusing on AI-driven applications., • Design and implement APIs for seamless integration with AI modelsand services., • Developtools for large-scale data processing and ETLand contribute to extracting insights from data to help guide ML systems development, • Participate in code reviews, testing, and quality assurance processes., • Troubleshoot and resolve technical issues related to AI model, integration,deploymentand backend services., • Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes., • Documentandcommunicatedevelopment processes and implementation details with peers and supervisors, • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. RequiredQualifications: • Bachelor's orMaster's degree inComputer Science, Machine Learning, or a related quantitative field., • 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus., • Goodunderstanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boostedor standard decisiontrees, RAG,etc., • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development., • Proficiencyin Python and familiaritywith ML libraries such asPyTorch., • Familiarity withGenAIservices such as OpenAI GPT, Anthropic Claude, Google Gemma etc.Some experience indeveloping and fine-tuning prompts on any of theGenAIservicesis a plus., • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking., • The ability to work collaborativelyacross multiple disciplinesin an extremely fast-paced, startup environment. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

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. The General Agents team, part of Scale's Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you'll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle-from model and system design to evaluation, deployment, and iteration-bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: • Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases., • Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints., • Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings., • Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs., • Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems., • Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage., • Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level. Ideally you'd have: • 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases., • Strong engineering fundamentals, supported by a Bachelor's and/or Master's degree in Computer Science, Machine Learning, AI, or equivalent practical experience., • Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design., • Proven proficiency in Python, including writing production-quality, testable, and maintainable code., • Experience building systems that integrate models with external tools, APIs, databases, and services., • Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints., • Strong communication skills and comfort working in customer-facing or cross-functional environments. Nice-to-haves: • Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs)., • Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups)., • Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production., • Experience deploying ML systems in cloud environments and operating them at scale., • Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks. 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 ___. 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.

Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will redefine how engineers develop, build, test, and deploy software at Scale using AI development tools in addition to traditional practices. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: • Define next-generation AI development tooling and frameworks using products like Cursor, Claude Code, OpenAI Codex, and MS Copilot, as well as in-house custom-built solutions., • Drive the architecture, design, and implementation of our local development process, build, test, continuous integration, and continuous delivery systems, working closely with stakeholders and internal customers to understand and refine requirements., • Directly mentor software engineers ranging from new grads to experienced engineers., • Proactively identify opportunities and drive improvements to software development practices, processes, tools, and languages., • 8+ years of full-time engineering experience, post-graduation, with experience in build, test, or CI/CD systems., • Extensive experience defining and evangelizing best-practices for AI development tools, including cost guardrails, security frameworks, and hosting knowledge-sharing sessions, among others., • Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred)., • Experience configuring, testing, and enabling MCP servers, AI agents, and other associated systems., • Show a track record of independent ownership of successful engineering projects., • Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders., • Experience working fluently with standard infrastructure, containerization, and deployment technologies like Terraform, Docker, Kubernetes, etc., • Experience with modern web frameworks like NodeJS, NextJS, etc., • Experience scaling products at hyper-growth startups. 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 ___. 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.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: * Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. * Develop and maintain backend services using Python, focusing on AI-driven applications. * Design and implement APIs for seamless integration with AI models and services. * Collaborate with product managers, engineers, and other stakeholders as a specialist and subject matter expert in machine learning. * Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment. * Participate in code reviews, testing, and quality assurance processes. * Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. * Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. * Document and communicate development processes, system designs, and architectural decisions. * Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. * Minimum 6+ years of experience in industry with a strong focus on ML solutions development and production deployment. * Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. * Strong proficiency in Python and familiarity with ML libraries such as PyTorch. * Statistical Machine Learning and Artificial Intelligence in the context of NLP, Speech, RAG, Virtual Agents, and/or Document Processing technologies * Familiarity with cloud platforms such as AWS or Azure. * Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Experience developing and fine-tuning prompts on any of the GenAI services * Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. * Passion for customer, innovation, product quality, service excellence, and test engineering * The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. * Experience working with microservices/an API-based application paradigm. * Good written communication skills that enable collaboration in a remote environment. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Salary Range$180,000—$220,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

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 ___. 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.

Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will redefine how engineers develop, build, test, and deploy software at Scale using AI development tools in addition to traditional practices. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: • Define next-generation AI development tooling and frameworks using products like Cursor, Claude Code, OpenAI Codex, and MS Copilot, as well as in-house custom-built solutions., • Drive the architecture, design, and implementation of our local development process, build, test, continuous integration, and continuous delivery systems, working closely with stakeholders and internal customers to understand and refine requirements., • Directly mentor software engineers ranging from new grads to experienced engineers., • Proactively identify opportunities and drive improvements to software development practices, processes, tools, and languages., • 4+ years of full-time engineering experience, post-graduation, with experience in build, test, or CI/CD systems., • Extensive experience defining and evangelizing best-practices for AI development tools, including cost guardrails, security frameworks, and hosting knowledge-sharing sessions, among others., • Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred)., • Experience configuring, testing, and enabling MCP servers, AI agents, and other associated systems., • Show a track record of independent ownership of successful engineering projects., • Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders., • Experience working fluently with standard infrastructure, containerization, and deployment technologies like Terraform, Docker, Kubernetes, etc., • Experience with modern web frameworks like NodeJS, NextJS, etc., • Experience scaling products at hyper-growth startups. 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 ___. 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.

Couple.com is looking for our first-ever Model Jockey to join the team. Are you spending your entire day talking to AI models instead of people? Have you traded the "blank page" for being part of a team where your entire org are Model Jockeys steering AI? We are looking for a true renaissance thinker who thrives on keeping six plates spinning at once and is ready to push the absolute limits of what AI tools can build, research, and ship. Your Mission In this wildly dynamic role, you won't be confined to a single department. You will act as the ultimate generalist, riding alongside our AI models to execute a massive variety of tasks spanning consumer research, user acquisition, data reporting, and rapid product development. At Couple.com, we are pioneering the online singles party scene by powering AI-native, real-time experiences at our live online singles events. You'll be instrumental in developing and refining our core innovations, including our AI Matchmaker and AI Wingman products, to make dating more engaging and effective. You will be the human in the loop driving these initiatives forward: directing the models, shaping their output, and radically optimizing our internal processes. Your ultimate goal is to architect workflows that allow us to deliver exactly what our users want at an unprecedented velocity, shipping products and campaigns faster than a traditional team ever could. Key Responsibilities • Model Orchestration: Simultaneously manage and steer multiple AI instances (like Claude, OpenAI, Gemini, and emerging open-source tools) to execute complex, parallel workflows., • Cross-Domain Execution: Seamlessly context-switch between drafting user acquisition campaigns, synthesizing consumer research, analyzing product data, and accelerating product development., • Rapid Iteration: Describe objectives to the models, test the outputs, refine the parameters, and iterate at breakneck speed., • Quality Control: Act as the final line of defense to redirect models when they lose the thread, go off track, or make weird calls., • Process Innovation: Continuously redefine and optimize how we build, utilizing AI to collapse timelines from ideation to delivery., • Tooling Exploration: Constantly explore and integrate the newest AI harnesses, interfaces, and developer tools to make orchestration easier and more efficient., • A highly well-rounded background with experience touching product, marketing, operations, or engineering., • Demonstrated obsession with the latest in AI technology and hands-on experience using advanced models and coding assistants to multiply your output., • Exceptional problem-solving skills and the ability to define clear goals for AI agents., • A high tolerance for ambiguity and the mental agility to manage rapid context-switching., • Familiarity with cloud environments, local desktop setups, or basic scripting to better integrate and test AI workflows is a strong plus. We are proudly backed by World Media Group, an established leader with a track record of building successful companies in various domains, such as Lawyer.com, Doctor.com, and India.com. World Media Group was an early investor in bitcoin, co-founded Sweet.io in the NFT market, and actively partners with Scientist.com and Outerspace.com. Alongside our sister company Bidsy, a rapidly expanding creator monetization platform, Couple.com offers numerous opportunities for career growth and an environment that fosters innovation. We aren't just adapting to the future of work. We are defining it. Are you ready to stop typing in a box and start steering the ship? Apply Now, and let's get these models working.

Job Description: Overview: We don't simply hire employees. We invest in them. When you work at Chatham, we empower you - offering professional development opportunities to help you grow in your career, no matter if you've been here for five months or 15 years. Chatham has worked hard to create a distinct work environment that values people, teamwork, integrity, and client service. You will have immediate opportunities to partner with talented subject matter experts, work on complex projects, and contribute to the value Chatham delivers every day. Chatham Financial is looking for an AI Solutions Engineer to design, build, and deploy custom AI solutions that address high-value business workflows. This is a hybrid technologist and trusted advisor role.You'llwork closely with stakeholders to understand operational challenges and build AI-powered solutions that create measurable value.You'llown problems end-to-end-from discovery through production. This is a hybrid technologist and trusted advisor role.You'llembedwith client teams, understand their operational challenges, and build AI-powered solutions that create measurable value. Think startup CTO meets management consultant-you'llownproblems end-to-end. What You'll Do: Client Engagement * Work directly with private equity firms, real estate investors, and capital markets clients to understand their workflows andidentifyAI opportunities * Lead discovery conversations to uncover pain points and scope solutions * Present recommendations to both technical and executive stakeholders Solution Design & Architecture * Architect custom AI solutions including workflow automation, data extraction, intelligent reporting, and AI agents * Evaluate when to use LLMs vs. traditional ML vs. rule-based approaches * Design systems that integrate with existing client infrastructure Hands-On Building * Write production code-Python, modern web frameworks, LLM integrations (OpenAI, Anthropic, etc.) * Build RAG systems, agentic workflows, and custom AI applications * Own the full stack from data ingestion to user interface Rapid Prototyping * Build working prototypes in days/weeks, not months * Validate value quickly with real users and real data * Iterate based on feedback and measured outcomes Production Deployment * Take solutions from prototype to production * Ensure reliability, security, and maintainability * Support ongoing optimization and enhancement Contributors to your success: * 7+ years of software engineering experience, ideally with client-facing or consulting exposure * Strong programming skills in Python; experience with TypeScript/JavaScript a plus * Hands-on experience building with LLMs (GPT, Claude, etc.)-RAG, prompt engineering, fine-tuning, or agentic systems * Experience taking AI/ML projects from prototype to production * Excellent communication skills-can explain technical concepts to executives and collaborate with non-technical stakeholders * Comfortable with ambiguity-can scope problems, make decisions, and own outcomes end-to-end * Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent experience * Experience in financial services, private equity, or real estate * Background at a startup (especially as early engineer) or consulting firm * Experience with data pipelines, ETL, and working with messy enterprise data * Familiarity with cloud platforms (AWS, Azure, GCP) * Experience with vector databases, embeddings, and semantic search About Chatham Financial: Chatham Financial is the largest independent financial risk management advisory and technology firm. A leader in debt and derivative solutions, Chatham provides clients with access to in-depth knowledge, innovative tools, and an incomparable team of over 700 employees to help mitigate risks associated with interest rate, foreign currency, and commodity exposures. Founded in 1991, Chatham serves more than 3,500 companies across a wide range of industries - handling over $1 trillion in transaction volume annually and helping businesses maximize their value in the capital markets, every day. To learn more, visit___. Chatham Financial is an equal opportunity employer.

Our Executive Operations team includes Executive Business Partners and Administrative Business Partners, who serve as trusted advisors and collaborators to OpenAIs executives and leaders, focused on strong communication and operational excellence across teams. The Administrative Business Partner wil

The Executive Business Partner will be a proactive partner to an executive operating at the intersection of partnerships, culture, and global influence.This role manages complex scheduling, coordinates high-profile engagements, and supports a fast-moving, externally-facing portfolio.This role requir

We are looking for an Enterprise Sales Development Representative to identify and engage prospects, driving continued sales growth. Enterprise Sales Development Representative. Proficiency with Salesforce, Salesloft, LinkedIn, Outreach, Claude, Perplexity, and OpenAI (or similar tools).

OpenAI's Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. For additional information, please s

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We're developing open weight models for individuals, agents, enterprises, and even nation states.Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.Build and operate a company-wide foundations platform that accelerates every team by providing re

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Job Description Established in 2004, OLIVER is the world's first and only specialist in designing, building, and running bespoke in-house agencies and marketing ecosystems for brands. We partner with over 300 clients in 40+ countries and counting. Our unique model drives creativity and efficiency, allowing us to deliver tailored solutions that resonate deeply with audiences. As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results. Role: Senior Production Technology Director Location: Remote, United States About the role: Working in true collaboration with our tech team, we are looking for a Senior Production Technology Director to help audit our current processes and develop a production technology toolset that is robust, scalable, and increasingly powered by AI and advanced automation. You will be working with the, internal clients Implementation, IT & Services, and Sales to develop new workflows as a core part of our service offering. The purpose of this role is to manage overall daily production support across the group, oversee the specification and build of AI-powered tools and solutions, and consistently improve current workflows to enhance cost and production efficiency, quality, and service levels. You will guide and manage a team of Developers and Technology Managers, setting technical direction, nurturing talent, and ensuring the team operates together at a high standard across all production technology initiatives. This includes overseeing the team's adoption and proficient use of AI-assisted coding and scripting tools (such as GitHub Copilot, ChatGPT, Claude, and other LLM-based development assistants) to accelerate development cycles, improve code quality, and reduce manual effort in building and maintaining production solutions. You will be required to support the Technology Director in the management of key new account implementations from a technical and operational point of view, working with them to create comprehensive projects to deliver production automation and company-wide solutions. This includes identifying, specifying, and building overseeing bespoke AI-powered tools — from adaptive workflow automation and predictive production scheduling to AI-enabled quality assurance and content adaptation — cooperating with internal stakeholders to ensure plans are delivered on time and on budget. With a track record in complex projects, you will help ensure the smooth transition of the plan and manage ongoing needs. The primary focus for this role will be to implement and consistently improve the daily operational effectiveness of accounts. Tightening up processes, streamlining workflows, embedding AI and machine learning solutions where they can deliver measurable gains, and ensuring teams cooperate around best practices — making sure we are utilising the systems, resources, and partners we have to their fullest potential. The Senior Production Technology Director is responsible for ensuring that the agency has best-in-class processes, systems, and AI capabilities that maintain the highest standards in project and campaign delivery and meet the evolving demands of the client with the same level of commitment and passion as the client. Work with the Production Support Team to define and implement workflows on tools like Dalim ES/Twist and other automation tools, including AI-enabled automation platforms, and to promote use of automation and AI across the group. Working with the Global Technology and Innovation Director, PMO office, and OMG team to evaluate, architect, and implement AI-powered automation software across our network of agencies and hubs globally — including assessing emerging AI technologies, building proof-of-concept solutions, and scaling successful implementations across the business. What you will be doing: • Guide, manage, and develop a team of Developers and Technology Managers, setting clear goals, conducting code reviews, and fostering a culture of innovation, collaboration, and continuous improvement, • Spec, design, and oversee the build of AI-powered production tools and platforms — from requirements gathering and solution architecture through to development, testing, and deployment, • Encourage and promote the use of AI-assisted coding and scripting tools across the development team (e.g., GitHub Copilot, LLM-based code generation, automated testing frameworks, AI-enabled debugging) to accelerate delivery, improve code quality, and reduce repetitive manual development tasks, • Evaluate emerging AI/ML technologies (including generative AI, computer vision, NLP, and smart automation) for application within production workflows, recommending and implementing solutions that deliver tangible efficiency and quality gains, • Build and maintain AI-powered automation pipelines for content production, asset management, quality control, and workflow orchestration, • Accountable for delivery of assigned projects to time, scope, and quality, • Advise and connect with stakeholders internally and externally, developing warm, trusting working relationships with various teams across the business and with key client contacts, • Ensure project plans are signed off and have met quality standards and guidelines before deployment, • Ensure projects are accurately recorded within agreed tools, • Ensure all tools are deployed following consistent agency standards, e.g., our internal tool OMG, • Map and deploy agreed process changes, including AI-augmented workflows and adaptive routing and prioritisation systems, • Ensure key documentation is created and training is provided to new team members, including AI tool onboarding and upskilling programmes for the wider production team, • Provide input into ongoing process improvements and changes to ensure the team is continuously improving, leveraging data insights and AI to inform and shape direction, • Establish best practices and governance frameworks for responsible AI use, including data privacy, ethical AI standards, and quality assurance for AI-generated outputs, • A desire to be in the detail — systems, processes, profitability, utilisation, production, and delivery, • Experience in fast-paced agencies. This business manages scale and speed across the USA and Canada, • Trusting, dependable relationships built through honest, consistent delivery What you need to be great in this role:, • 10+ years of technical services experience in a complex production environment — not a traditional agency — across Print, Digital, Social, and Motion technologies, • Demonstrated experience managing and nurturing teams of Developers and Technology Managers, with a track record of attracting, retaining, and growing technical talent, • A solid understanding of AI and machine learning technologies, including practical experience specifying, building, or implementing AI-powered tools and solutions within a production or creative technology environment, • Hands-on experience with AI-assisted development workflows — comfortable using and promoting tools like GitHub Copilot, ChatGPT/Claude for code generation, scripting automation, prompt engineering, and AI-enabled QA/testing, • Experience with AI/ML frameworks, APIs, and platforms (e.g., OpenAI, Azure AI, AWS AI/ML services, Google Cloud AI, or similar) and an understanding of how to integrate these into production systems, • Familiarity with scripting and programming languages commonly used in production automation (e.g., Python, JavaScript, Shell scripting) with the ability to leverage AI tools to accelerate coding, troubleshooting, and solution development, • Experience in building and deploying complex production technologies, • Experience in implementation of large-scale projects and ideally change management processes, • Ability to manage multiple projects in a fast-paced environment, • Excellent planning and organisational skills, • Ability to work under pressure to meet deadlines, • Effective interpersonal and collaborative judgement skills, • Excellent attention to detail and accuracy skills, • Capable and forward-thinking — able to manage their work and always meet commitments, • A thoughtful, methodical thinker with common sense, • Ability to question constructively and explore ideas openly (both their own and others'), • Ability to see the bigger picture, • Technical competence and understanding of creative process / working within a creative environment, • Clear, effective communication skills both internally and externally with clients, • Past experience in managing external partner relationships, • A genuine passion for AI innovation and a curious, considerate mindset — constantly exploring how new technologies can transform production workflows and deliver meaningful advantage Be Ambitious to succeed Be Imaginative to push the boundaries of what's possible Be Inspirational to do groundbreaking work Be always learning and listening to understand Be Results-focused to exceed expectations Be actively pro-inclusive and anti-racist across our community, clients and creations OLIVER, a part of the Brandtech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws. OLIVER has set ambitious environmental goals around sustainability, with science-based emissions reduction targets. Collectively, we work towards our mission, embedding sustainability into every department and through every stage of the project lifecycle.

Job DescriptionAbout the Company Infillion is the first fully composable advertising platform, built to solve the complexity, waste, and opacity in the digital media ecosystem of the last decade. Born from $750 million in investment and the unification of category-defining technologies, including MediaMath, TrueX, Gimbal, Drawbridge, and most recently Catalina, Infillion engineered these powerful assets into scores of interchangeable, agentic-ready components. Infillion provides a single, flexible infrastructure that serves media buyers, tech decision-makers, and media sellers. Whether through white-glove managed service, self-service control, or API-based automation, Infillion empowers businesses to execute their unique strategies with zero-hop efficiency, proprietary AI logic, and radical data transparency. Headquartered in New York City, Infillion powers the world's leading brands, agencies, and platforms. Learn more at About the Job The Jr. AI Engineer role will develop AI automations and company-wide tools in support of the office of the COO. This role sits at the intersection of software development, AI, and business operations. An individual with expertise in software development, AI tools and an operational mindset will be deployed across the organization to help disseminate crucial information and efficiencies to teams. What you'll be doing: • Design and develop generative AI Products that address real challenges across the organization, • Translate complex business problems into simple, scalable technical solutions, • Partner with stakeholders across departments (Ops, HR, Finance, and the Executive team) to identify inefficiencies and opportunities for AI automation, • Build and test backend AI components that combine data, logic, and model reasoning into workflows, • Contribute to architecture and implementation plans, helping connect models, data sources, and business processes crucial to Infillion's management operating system, • Help design and implement solutions that streamline integration efforts as the Infillion portfolio of companies grows., • Prototype quickly, test with users, and iterate based on feedback, • 1–3 years of experience in software development (or strong equivalent project experience), • Bachelor's Degree in Computer Science or a related field, • Familiarity with APIs, databases, and basic system design, • Exposure to AI/ML concepts and tools (e.g., OpenAI APIs, embeddings, prompt engineering, automation tools), • Full-stack capability: comfortable building both backend services and clean, functional frontends with proficiency in programming languages such as Python, JavaScript/TypeScript, etc., • A proactive go-getter — you take ownership and are accountable for all you do, with the initiative to learn new skills on the fly, • An effective communicator — you know how to get your point across clearly regardless of who you're speaking to It's no secret that we work hard, but we also strive to create an office environment where the lines between work and play are blurred. This means we offer these great perks to help keep our team healthy, productive, and happy. • Base salary of $70,000 - $85,000, • 100% company-paid health, dental, and vision coverage for you and your dependents, • Company-paid life insurance, short-term, and long-term disability, • Unlimited paid time off - we trust your discretion, • Opportunities for profit sharing, bonuses, and ownership, • 401k plan with company match

Job Description ON BOARD EXPERIENTIAL On Board Experiential (OBE) is an award-winning, full-service, experience-led agency that creates meaningful brand experiences worldwide. We work out of our homes and physical offices in San Francisco, Los Angeles, and NYC, or wherever our adventures take us! Our clients include Nike, Meta, JPMorgan Chase, The Infatuation, Stripe, and OpenAI, to name a few. We know, "Cool, cool, but what's it like to work at OBE?" We thought you'd never ask. Event Marketer has recognized OBE as one of the best places to work in events and well, we couldn't agree more. The most important part of our business is our people. They are hardworking, brave and make magic happen on the regular. But under each majestic exterior is a human deserving of a healthy work-life balance. That's why we believe in recovery days, happy hours, friendly but competitive fitness challenges and company offsites. We conduct open meetings to facilitate discussions that heal, inspire, and bring us closer. We encourage each other to bring our whole selves to work. We want to hear about your lived experiences and unique perspectives. We don't just want you to be unapologetically you: it's part of the job description. SUMMARY OF POSITION The Senior Production Manager (SPM), loves collaboration, and has experience working on a wide variety of project types in which they held various roles and responsibilities. To the point that they, "get it", no matter what the project is, the problem that needs fixin' or the level of ambiguity they're dealing with. Relevant examples would be; live events, hybrid, virtual events, B2B, B2C, mobile, CPG, lifestyle, and more. A very strong character, next-level organizational and communication skills, prioritization, production workflow, managerial and client facing skills are a must. The SPM is responsible for a wide variety of elements on a given project. Responsibilities may include management of production related personnel (internal FT staff as well as external contractors) including but not limited to; other producers, third-party vendors/service providers, production assistants, coordinators, and managers. Depending upon the size and complexity of the project, this may (and most likely will) involve running multiple projects/events simultaneously at various stages of project planning. This person is also responsible for the development and implementation of the overall project plan; which will include development of the overall staffing plan, managing, monitoring and maintaining the workback/timeline, managing multiple vendors, negotiating contracts, obtaining and managing staff and resources, budget development, management and tracking P/L, being onsite and in the office, and the overall project QC.. By working closely with internal and external account, technology, creative and operations teams in a collaborative manner, this person is responsible for executing the approved production-specific Scope of Work in support of the clients goals and objectives. ESSENTIAL JOB FUNCTIONS • Assist pitch teams in determining feasibility of projects and establishing production budgets for new business proposals (RFPs). Attend brainstorms and pitch meetings as needed., • When leading projects, serve as the primary Production team contact throughout the project process with internal and external project teams. This includes being in the office and onsite as defined by the project and by OBE policy., • Participate in, and lead, project planning and development meetings and internal/external status meetings., • Collaborate with Production Department Leadership in establishing the overall project plan and budget within the key client deliverable dates and the agreed upon Scope of Work., • Work closely with internal operations, account, technology, and creative teams to ensure the highest quality and smoothest operation of the overall production. And do so in a way that ensures that all key deliverables are not just met but exceeds the clients' satisfaction., • Establish, maintain and evolve best practices that meet and exceed OBE standards and that continually elevate the level at which we are operating as an agency., • Implement plans for staffing procedures, budget tracking, project timelines, critical paths, production schedules, Run of Show, meeting agendas, contingency and emergency actions, etc., • Keep internal teams, and other specific project teams, informed on a regular basis on any need for revisions to budgets and estimates to complete., • Recruit, hire and manage production crews and staff as required by the project(s)., • Identify outside vendors needed (depending on the type of event), request bids, select vendors and negotiate and obtain signed contracts. Monitor performance of vendors., • Manage, mentor and motivate junior production staff., • Submit all status reports, photo/digital documentation, and other evidence of production as required by Account team and Client personnel., • Reconcile all production budgets and prepare post event analysis of production. DESIRED SKILLS AND EXPERIENCE EDUCATION • Bachelor's Degree in Marketing, Business Administration, or related field preferred. EXPERIENCE • 7+ years of direct experience in producing/managing budgets for major marketing programs/events/activations with or within an experiential agency environment., • Must have an extremely strong and diverse experience base that directly applies to this multi-faceted, high demand position., • Very strong Vendor relationships and experience with the competitive bidding process., • Experience in executing staffing procedures, budget tracking, project timelines, critical paths, production schedules, Run of Show, meeting agendas, contingency and emergency actions specifically for experiential events. ESSENTIAL KNOWLEDGE, SKILLS AND ABILITIES • Strong and proven management skills and interpersonal communication skills., • Proven ability to manage internal and external partners, and service providers., • Very strong client/customer service experience and focus., • Excellent planning, organizational, prioritization, and time-management skills. This includes possessing the capacity necessary to effective carry and execute multiple projects simultaneously., • Ability to multi-task, manage competing priorities, work in the "grey", embrace ambiguity, thrive when "it" hits the fan, never be satisfied, always push to elevate the work, and still be on time for the after party., • Must be able to work in a very (and we mean very) collaborative manner both with internal and external teams, and with clients., • Ability to manage projects events within budget., • Excellent judgment/awareness with the proven ability to pro-actively identify issues/obstacles and effectively create solutions., • Extremely strong working knowledge of and experience with contracting, permitting and insurance processes., • Understanding of Union Labor laws and ability to manage within a budget without penalties, • Strong understanding in the areas such as Security/Access Control, Branding, fabrication, location scouting, venue negotiations. OTHER SKILLS AND JOB REQUIREMENTS • Extremely strong work ethic and the proven ability to thrive and enjoy a (very) fast-paced, dynamic, ever-changing, exciting and challenging working environment., • Must be flexible and comfortable in working non-traditional hours in non-traditional locations, as needed (some nights and weekends)., • Experience with SharePoint, Google apps, Trello, Microsoft Teams or other project management tools is a plus., • Willingness to travel up to 50% of the time, if necessary. Please note this level of travel is at the very high end of what our producers typically average., • Ability and desire to work in the office in keeping with OBE's current in-office policy, to be "present" and participation at a high-level, and to be onsite as required. Compensation Range: $90,000 - $120,000 annually. This is the pay range OBE believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on level of experience, relevant skills, professional certifications, market pay, and demand for the role. OBE reserves the right to modify this pay range at any time. For this role, Benefits include: medical/dental/vision insurance, employer paid basic life and personal accident insurance. Also included: Annual Profit Sharing/Bonus Plan based on the company's performance and your individual performance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, PTO, STD/LTD insurance benefits. On Board Experiential is An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

At Openai, we're here to do something extraordinary: build safe AGI that benefits everyone. We partner deeply with teams across Openai to find, engage, and support the people who will shape the future of AI. User Operations is a critical organization at Openairesponsible for how we support, protect,

Job Description The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data. At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise. Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we'd love to talk. HumanSignal is looking for a high-performing Sales Development Representative to help us reach the world's most innovative AI companies. You'll be opening doors with frontier labs, tech giants, and cutting-edge robotics companies who are building the future of AI—and who need the purpose-built training data that only we can provide. This isn't typical SDR work. You'll be prospecting into organizations like Anthropic, OpenAI, Google DeepMind, Meta, Tesla, Nvidia, and others at the absolute forefront of AI research and development. Your outreach will reach ML researchers, AI engineering leaders, and executives building breakthrough applications. The technical sophistication and strategic importance of these accounts make this one of the most exciting SDR roles in enterprise tech. You'll be the first point of contact for companies that will define the next decade of technology. Your ability to craft compelling messaging, understand technical concepts, and engage senior executives will directly impact HumanSignal's growth trajectory. You Will: • Generate qualified pipeline: Identify and create new business opportunities by prospecting into frontier AI labs, major tech companies, and innovative robotics firms, • Master personalized outreach: Write highly tailored cold email and LinkedIn messages that resonate with ML engineers, AI researchers, and technical executives, • Book strategic meetings: Conduct high-level qualification conversations with senior leaders and connect them with our Account Executive team, • Understand the landscape: Develop deep knowledge of AI companies, their data needs, and how our Data Creation Laboratories and Label Studio platform solve critical challenges, • Communicate value: Articulate why purpose-built, human-created datasets are essential for the next generation of AI applications, • Collaborate cross-functionally: Work closely with sales, marketing, and product teams to refine messaging and targeting strategies, • Bachelor's degree or equivalent work experience, • 1-2+ years of SDR, BDR, or sales experience in a fast-paced enterprise software, SaaS, or technical environment, • Demonstrated track record of top performance and consistently exceeding quota, • Exceptional written and verbal communication skills with ability to tailor messaging to technical audiences, • Research skills and intellectual curiosity to understand complex technical concepts quickly, • Ability to multitask, prioritize effectively, and thrive in a high-energy environment, • Experience prospecting into large, complex technical organizations, • Process-oriented mindset with strong organizational skills, • Genuine interest in AI, machine learning, and emerging technologies, • Familiarity with how AI models are trained and the role of training data, • Experience using sales tools like Salesforce, Outreach, LinkedIn Sales Navigator, and ZoomInfo, • Self-motivated and competitive spirit with excitement for sales metrics and friendly competition, • Collaborative team player who welcomes feedback and coaching You're not booking meetings for boring enterprise software—you're connecting with the people building AGI, autonomous robots, and AI systems that will reshape society. Every conversation you have is with someone at the cutting edge. You'll learn about AI from the inside, build relationships with industry leaders, and develop skills that will accelerate your career in the most important technology sector of our generation. About HumanSignal At HumanSignal, we're building the infrastructure for the next generation of AI. Our Label Studio platform powers data operations for leading organizations worldwide, while our Data Creation Laboratories manufacture the purpose-built datasets that breakthrough AI applications require. We believe the next frontiers in AI won't be unlocked by scraping what's left on the web—they'll be built on human-created data that captures the complexity of how systems need to see, hear, reason, and react. Through controlled environments and operational excellence, we're enabling researchers and enterprises to innovate without being constrained by data availability. We work with frontier AI labs, Fortune 500 enterprises, and government agencies who are pushing the boundaries of what's possible with AI. Join us in building the data that will build the future. 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. At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $60,000 to $110,000 USD plus commission. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

Our goal in B2B applications is to enable this mission by helping businesses, enterprises & governments redefine how they operate to empower people and accelerate economic growth. Our teams span product engineering, backend infrastructure, and safety, working together to ensure that OpenAI's technol

We're a team working on the frontier of agentic development and applied finance, in close collaboration with leading research labs and backed by OpenAI (Lead Investor in $14M Round). As a product specialist at Endex, you will play a critical role in ensuring Endex is the most comprehensive, and accu

Job Description Who We Are Kargo creates powerful moments of connection between brands and consumers to build businesses. Every day, our 600+ employees work to radically raise the bar on what agentic AI, CTV, eCommerce, social, and mobile can do to deliver unique ad experiences across the world's most premium platforms. Taking a creative science approach to all we do, we continuously innovate solutions that outperform industry benchmarks and client expectations. Now 20+ years strong, Kargo has offices in NYC, Chicago, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland. Who We Hire Techies who want to build the future. Creatives who want to design it better. Communicators to win business. Collaborators to build it. Data pros who turn numbers into insights. Product builders who turn ideas into innovations. Anyone eager to be on a team that doesn't stop to ask what's next, because they're already building it. Salary Range: $140,000 - $180,000 Work Type: Hybrid Mission As the AI Engineer at Kargo, you will architect, build, and scale AI-powered products and automations for Kargo's commercial organization. Operating within the Data & AI team, you are the connective tissue between revenue teams and AI infrastructure — proactively identifying high-value use cases, building intelligent workflows and agentic applications, and deploying trustworthy systems across Salesforce, Snowflake, Slack, and other internal platforms. You're both hands-on and capable of owning the strategic roadmap for AI operations at Kargo. Outcomes - What Success Looks Like in 6-12 Months • At least 3 high-impact AI automations are live and actively used by commercial teams — measurably reducing manual work or improving data quality across Salesforce, Slack, or Snowflake, • A governance model is in place covering prompt engineering standards, audit trails, and a feedback loop that drives continuous iteration, • Cross-functional stakeholders trust and use the tools you've built, and Kargo's Data & AI leadership has a clear, prioritized AI Ops roadmap that you own and drive Design & Automation • Design, build, deploy, and maintain AI-powered automations and agent workflows using modern orchestration frameworks — LangGraph, n8n, OpenAI Responses/Agents tooling, MCP-compatible architectures — with integrations across Salesforce, Slack, Snowflake, Atlassian, Google Workspace, Looker, and Airtable, • Translate business pain points into modular, extensible automation flows that are observable, debuggable, and fault-tolerant; proficient in Python or JavaScript for custom connectors and scripting, • Build production-grade LLM applications — agent workflows, retrieval systems, internal copilots — using ChatGPT Enterprise and related LLM APIs for knowledge surfacing, workflow routing, decision support, and dynamic content generation, • Work cross-functionally with Sales, Client Services, Media Strategy, Marketing, Product, and Ops to discover automation opportunities, prototype quickly, document tooling, and drive self-service adoption, • Prompt libraries, embeddings-based retrieval, or vector databases (Pinecone, Weaviate) and RAG pipelines Builder's Instinct • AdAge Best Places to Work, • ThinkLA Partner of the Year, • Built In Best Places to Work, • Cynopsis 2025 Top Women in Media - Jeannine Shao Collins, • Martech Breakthrough Awards - Best Overall Adtech Company, • Digiday Media Awards Best Event, • Cynopsis Media Impact Awards-Best CTV Platform, • Martech Breakthrough Awards-CTV Innovation, • Big Picture: kargo.com, • The Latest: Instagram (@kargomobile) and LinkedIn (Kargo)

Job Description Who We Are Yieldmo is an adtech company that utilizes AI-driven search technologies to help brands invent creative experiences by using custom ad formats, proprietary attention signals, predictive format selection, and privacy-safe premium inventory curation. Yieldmo believes all ads should be human-centered, tailored, and provoke users' emotions and actions. Yieldmo helps brands deliver the best ad for every impression opportunity, merging creative and media for proven results. What We Need We're seeking an exceptional Search Engineer to architect and build Yieldmo's next-generation, AI-powered search platform—redefining how users discover and engage with content across the open web. This is a rare opportunity to shape an entirely new search product from inception, working at the intersection of AI, large-scale data, and user experience. You'll bring deep technical expertise, creative problem-solving, and a builder's mindset to create a system that sets new standards for relevance, intelligence, and performance. What You Can Expect In This Role • Architect, design, and build Yieldmo's AI-driven search engine from the ground up, launching first with a major publisher partner before scaling across multiple partners., • Write high-quality, production-ready code while iterating quickly to validate ideas and refine search performance., • Collaborate closely with Product and Engineering teams to integrate cutting-edge retrieval, ranking, and recommendation technologies., • Define the long-term technical vision and roadmap for Yieldmo's search capabilities., • Build and mentor a small, high-performing team of engineers to evolve and scale the platform., • Establish best practices for search quality, experimentation, and performance monitoring., • Drive innovation by exploring emerging AI and search technologies to enhance discovery and personalization., • Partner with leadership to align the search strategy with Yieldmo's broader product and revenue goals., • Foster a culture of technical excellence, curiosity, and ownership across the engineering organization. Requirements • You have designed and built scalable, general-purpose search or retrieval systems end-to-end., • You bring deep expertise in AI-powered search methodologies, including LLMs, embeddings, vector databases, and retrieval-augmented generation., • You have a strong understanding of indexing, query processing, and ranking architectures., • You're a hands-on engineer with experience leading or scaling systems and teams in fast-moving environments., • You've worked within or closely alongside world-class AI/search organizations (e.g., OpenAI, Anthropic, Perplexity, xAI, Google DeepMind, etc.)., • You're proficient in Python, SQL, Docker, and microservices, with familiarity in function/tool calling from an LLM., • You communicate with clarity and thrive in a highly collaborative, cross-functional setting. Nice to Haves • Experience building retrieval or ranking systems specifically for publisher or adtech ecosystems., • Familiarity with distributed vector search systems or hybrid retrieval frameworks., • Prior startup or early-stage product experience—comfortable building with ambiguity and speed., • Background in reinforcement learning, personalization, or recommendation systems. Hiring Process Select candidates will be invited to schedule a 30 minute screening call with a member of our Talent Acquisition team. We will discuss the Hiring Process details at that time. The hiring process typically includes, but is not limited to: • A 45 minute video interview with the Hiring Manager., • Candidates will be invited to join a remote on-site interview round, consisting of video interviews with various team members and leadership., • Successful candidates will subsequently be made an offer. Our Values INNOVATION: We encourage curiosity, embrace new ideas, and believe no idea is too bold. AGILITY: We embrace change, act quickly, and adapt with a focus on getting things done. INTELLIGENCE: We make decisions guided by data, always aiming to deliver maximum value to our customers. AUTONOMY: We empower individuals to create their own paths with flexibility and independence. TOGETHERNESS: We foster an environment where teamwork thrives, support is mutual, and every voice matters. What We Offer We believe that diverse people and perspectives lead to breakthrough ideas, therefore we provide comprehensive benefits and an inclusive culture to support our valued team members. • Remote Work: Our team is fully distributed, though we love an opportunity to get together at our annual offsites, holiday parties, and more., • 100% Company Paid Health Coverage: Choose the medical, dental, and vision plan that's best for you and your family – all with options for 100% company paid coverage., • 401(k) Plan: Invest in yourself by participating in our 401(k) plan with a company match., • Equity: Share in Yieldmo's success through our employee stock option program., • Flexible Time Off, Company Slowdowns, and Summer Fridays: Take time off to relax and rejuvenate on your own terms with flexible time off, multiple company slowdowns, and Summer Fridays., • Home Office Setup and Stipend: Set up your home office for success with our premium technology packages and an additional stipend for any extra needs., • Professional Development: Grow your hard and soft skills with our annual professional development stipend. US Jobs: The base salary range for this role is: $200,000-$275,000 per year. The range listed is just one component of Yieldmo's total compensation package for employees. Individual compensation decisions are based on a number of factors, including experience, level, skillset, and balancing internal equity relative to peers at the company. We recognize that the person we hire may be less experienced (or more senior) than this job description as posted. In these situations, the updated salary range will be communicated with you as a candidate. For all other countries, we have competitive pay bands based on market standards.

Job Description About Our Client Our client is redefining the infrastructure behind one of the largest and most complex markets in the world: OTC derivatives. This market moves trillions of dollars daily, yet much of the underlying technology has remained largely unchanged for decades. Our client is building a modern, AI-native platform designed to power the next evolution of financial services—combining deep financial engineering with a modern cloud stack and world-class developer experience. The founding team comes from tier-one banks, hedge funds, and trading firms, where they previously built and operated some of the most sophisticated systems in the industry. Today, they are applying that expertise to create infrastructure capable of processing the most complex transactions across global financial markets—at scale, with precision, and with a focus on long-term impact. Their clients include some of the most sophisticated banks, hedge funds, and asset managers in the world. The problems are technically challenging, the data is dense, and the systems being built will influence how this market operates for decades. Technology Environment This is a modern, cloud-native engineering organization: * Serverless, cloud-native architecture by design * Infrastructure as Code (IaC) * Backend services written primarily in Python and Java * Frontend built with TypeScript and React * Heavy use of modern AI tooling and foundation models * Fully automated SDLC with rapid, intraday deployments * Strong emphasis on reliability, observability, and developer velocity About the Role As a Financial Engineer, you will play a hands-on role in building and scaling analytics and models for OTC derivatives across asset classes. You'll focus on translating complex financial instruments into robust, production-grade systems—owning everything from pricing logic to trade lifecycle workflows. This role sits at the intersection of financial engineering, software engineering, and modern AI-enabled infrastructure. You'll collaborate closely with platform engineers, AI engineers, and domain experts to integrate models into a broader capital markets platform used by institutional clients. This role is onsite in New York City. What You'll Be Working On * Modeling OTC derivatives from vanilla to exotic products across asset classes * Implementing trade lifecycle logic, including: * Cash flow calculations * Position management * Trade state transitions * Designing and validating pricing and analytics workflows * Integrating financial models into scalable backend services * Collaborating cross-functionally with engineering, product, and domain specialists * Ensuring accuracy, transparency, and robustness in financial calculations Required Qualifications * Bachelor's degree in Financial Engineering, Computer Science, Mathematics, Physics, or a related field * Practical experience with: * Quantitative modeling * Statistics and linear algebra * Financial data analysis * Strong understanding of derivatives and financial engineering concepts * Proficiency in Python * Strong problem-solving and communication skills * Ability to work effectively with cross-functional engineering teams * Willingness to work onsite in NYC Bonus Qualifications (Nice to Have) * Deep expertise in OTC derivative pricing and modeling across multiple asset classes * Familiarity with ISDA concepts and data models (e.g., CDM, FpML) * Strong understanding of: * Trade lifecycle management * Position and exposure management * Experience implementing or validating pricing models in production * Knowledge of collateral management, margining, and settlement processes * Experience with electronic trading and protocols (e.g., FIX, clearing workflows) * Exposure to Generative AI applications in finance (e.g., OpenAI, Anthropic, Gemini) Why This Role Stands Out * Work on foundational infrastructure, not surface-level features * Solve genuinely hard problems at the intersection of finance and technology * Join a team with deep domain credibility and long-term vision * Build systems that will shape how institutional markets operate in the future About Nxt Level Recruiting Nxt Level Recruiting partners with high-growth, venture-backed companies to help them build world-class engineering and leadership teams. We specialize in identifying top-tier talent for technically demanding roles where precision, ownership, and impact matter.

Job DescriptionAbout InfoTrack InfoTrack is a platform that seamlessly connects law firms to the courts and to the services that they need to litigate successfully. We're global leaders in legal technology with unparalleled expertise in forging integrations that can drastically improve the efficiency of law firms and the legal system. As a highly ambitious company, we know that our people are critical to our success. That's why we're passionate about fostering a high-performance culture built on professional development, open communication, and transparent leadership. If you're smart, dedicated, and eager to help build a market-leading solution that makes a difference in the lives of our clients, join us. About the role At InfoTrack, .NET Developers play a key role in transforming how legal professionals work. You’ll design and scale backend systems, integrate cutting-edge technologies like LLMs and OCR, and partner closely with product and engineering teams to deliver software that streamlines critical legal processes. Responsibilities • Build and maintain backend services for AI-powered document extraction, e-filing, and workflow automation, • Integrate with LLM APIs, OCR tools, and court systems for seamless data flow, • Write and review scalable C# code in a microservices architecture, • Collaborate with PMs, partner companies, and engineers to scope and ship features, • Improve observability for AI features (logging, metrics, cost tracking), • Stay current on AI/document processing tools and share insights, • Contribute to shared infrastructure and cross-functional development efforts, • Ensure quality through testing, code reviews, and process improvements, • Recommend product enhancements based on technical insights and user behavior, • 4+ years experience with C# and the .NET ecosystem, • Experience with Entity Framework, MS SQL, and third-party API integrations, • Familiar with microservice architecture, Git, CI/CD, and automated testing, • Strong debugging, problem-solving, and collaboration skills, • Comfortable working in Agile teams and independently scoping work, • Entrepreneurial mindset with awareness of business tradeoffs, • Strong written and verbal communication skills for cross-team and external collaboration, • Exposure to LLM APIs, including monitoring and cost observability, • Experience with OCR tools (e.g., Azure Document Intelligence, Google Document AI, Tesseract), • Skilled in prompt design (zero-shot, few-shot, chain-of-thought) for reliable outputs, • Experience reducing AI hallucinations via prompting, model selection, and post-processing, • Hands-on experience integrating OpenAI, Azure OpenAI, or Anthropic APIs at scale, • Familiarity with MongoDB, React, or other modern frontend/NoSQL technologies, • Understanding of observability, cloud infrastructure, and containerization (Azure, AWS, Docker, Kubernetes), • Awareness of vector databases and semantic search, • Familiarity with unit, integration, performance, and smoke testing The anticipated starting base pay range for this role is listed below. Base salary is not the only component of our competitive total rewards package - you may also be eligible for bonus, commissions and other benefits as described below. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications. $110,000 - $175,000 base pay Benefits What Sets InfoTrack apart At InfoTrack, we’re committed to a workplace where everyone feels comfortable doing their best work and having fun! We also believe in a work/life balance that fulfills you while you’re here and supports you when you’re not. We built our benefits package to prove that we’re committed to you having everything you need. Our benefits guide, located here, illustrates what we offer full-time employees and a sneak preview is below • 401(k) Match, • Medical, Dental, & Vision Insurance, • Employer-funded Short/Long-Term Disability, Life, and Accidental Death & Dismemberment (AD&D) Insurance, • 20 Days of Paid Time Off (PTO), • 11 Paid Holidays, • “Be Me Time” off for mental health, re-charging, volunteering We believe that the key to our success is you. Your unique background, life experience, knowledge, self-expression, and talent make you uniquely you. Who you are, what you have experienced, and how you think inspires us to be innovative and bold. InfoTrack is an equal opportunity employer. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. We welcome the unique contributions that you can bring in terms of your education, opinions, culture, ethnicity, race, ancestry, sex, gender identity and expression, national origin, citizenship, marital status, age, languages spoken, veteran status, color, religion, disability, sexual orientation, and beliefs. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Job Description Role Summary: We are seeking a highly skilled Technical Lead to drive the design, development, and optimization of AWS-based contact center and backend solutions. This role will focus on Amazon Connect and related AWS services, serving as a hands-on leader responsible for architecture, integrations, and technical excellence across customer engagement platforms. Key Responsibilities: Architecture & Design • Define and own the technical roadmap for Amazon Connect and related systems., • Architect scalable, secure, and resilient cloud-based contact center solutions., • Lead modernization and migration from legacy telephony platforms to Amazon Connect., • Oversee and guide a scrum team of developers through project delivery. Development & Integration • Design and build IVR/contact flows, Lex bots, routing logic, and voice/chat automation., • Integrate Amazon Connect with Salesforce, ServiceNow, and other enterprise systems., • Develop event-driven applications using AWS Lambda, API Gateway, DynamoDB, EventBridge, and Kinesis., • Implement AI-powered automation using Amazon Bedrock, OpenAI, or LangChain., • Train and mentor engineers transitioning into Amazon Connect development. Operations & Support • Oversee production stability, incident response, and performance tuning., • Conduct root-cause analysis and maintain observability via dashboards and SLIs/SLOs., • Ensure system reliability and compliance with security and IAM standards. Leadership & Collaboration • Lead and mentor cross-functional teams across development, data, and infrastructure., • Partner with network/security teams to uphold QoS and compliance requirements., • Provide tools and dashboards for business and operations reporting. Required Skills & Qualifications: • 10+ years of experience in telephony, contact center, or AWS backend development., • 3+ years hands-on experience with Amazon Connect (preferred)., • Strong AWS expertise: Lambda (Node.js/Python), API Gateway, DynamoDB, S3, CloudWatch, and IAM., • Experience integrating Salesforce Service Cloud Voice or similar CRM systems., • Familiarity with SIP, RTP, PSTN, QoS, and packet loss mitigation., • Strong understanding of REST/GraphQL APIs, JWT, OAuth, and SAML., • Proficiency with Terraform, CloudFormation, Git, and CI/CD tools., • Excellent communication, leadership, and stakeholder management skills. Preferred Certifications: • AWS Certified Solutions Architect or Developer, • Salesforce Service Cloud or Omni-Channel Certification

Job Description Job Title: AI/ML Engineer Job Type: Full-Time Job Summary: Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing toproprietary AI infrastructure, youll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. Youll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling. Key Responsibilities: • Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications., • Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain., • Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock., • Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference., • Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions., • Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD)., • Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration., • Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments., • Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain., • Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock)., • Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes., • Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines)., • Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise., • Knowledge of metadata catalog platforms (MCP) and advanced API development techniques., • Prior exposure to government or highly regulated cloud environments and compliance standards.

Job DescriptionAs a Senior Backend Software Engineer at Regard, you’ll play a leading role in building our products. You’ll be responsible for designing and developing critical backend services and driving them end-to-end through the full product lifecycle: ideation, planning, design, execution, deployment, and iteration. We expect our senior engineers to be true technical leaders by driving architectural decisions, mentoring teammates, and leading major projects that help set the bar for engineering excellence. You'll collaborate closely with product, design, and fellow engineers to ship high-quality solutions that empower physicians and improve patient care. About Regard Our mission is to bring world-class healthcare to everyone. Regard is the world’s first comprehensive, automated diagnosis tool. Regard streamlines clinical and revenue cycle efforts to dramatically improve hospital finances, patient safety, and physician happiness. We are excited by challenges, mission-oriented work, and meaningful relationships. We work closely with some of the top health systems in the country and are leading the change that healthcare - one of the largest and most inefficient industries in the world - needs. We want you to join us.Our Tech Stack: • Frontend: TypeScript, React, Tiptap, • Backend: Python (FastAPI, Flask), PostgreSQL, Redis, Celery, • Infrastructure & DevOps: Docker, Kubernetes, AWS (SQS, SNS), GitLab CI/CD, • APIs & AI: OpenAPI, OpenAI (GPT models)Responsibilities:, • Collaborate with product and design team members to best design medium to large projects balancing speed to market, user experience, business goals, and technical architecture quality, • Own medium to large backend services and drive improvements across system design, observability, testing, performance, and support., • Drive backend development practices, patterns, and processes along with the other Regard backend experts, • Mentor and review code from less experienced developers in our backend services across backend job processing, API, and other services, • Maintain and improve the quality of the codebase and tooling in your area of responsibility by proactive fixes and improvements and through identifying and proposing projects to improve the overall backend codebase, • Participate in operational activities supporting product areas you own including on-call, monitoring, and production support, • Contribute as necessary across the stack (front end, infrastructure, AWS, etc) in order to unblock projectsMinimum Qualifications:, • BS in Computer Science, • 6+ years of experience with software development in one or more programming languages, • Proficient in Python with demonstrated ability to write and maintain production-quality code, • Able to participate in on-call operational support for their areas of responsibility, • Able to travel up to 4 weeks a year for company co-working and/or retreat weeks, • Practical experience leveraging AI coding tools in day-to-day software development (e.g., Cursor, Claude Code, Codex)Preferred Qualifications:, • Experience with k8s, AWS services (serverless, etc), OpenAI services, • Experience working on a mature enterprise SaaS technology product, • Exposure to startup and/or high growth environments, • Experience working with health technology, • Strong verbal and written communication skillsHybrid Work \u007C Location \u007C Work Authorization, • For this role, Regard is currently only considering candidates who are authorized to work in the US without visa sponsorship, and are within the New York City metro area, San Francisco Bay Area, or Los Angeles, • We expect our Engineers to be in the office on Tuesdays and Thursdays. We may request more frequent in-office work during the onboarding period, • We will provide relocation assistance to anyone who does not already reside in the NYC metro area, • We prefer hiring people within commuting distance of our offices because we value getting together in person regularly, • For those who enjoy working from the office on a more regular basis, we offer catered lunches and other fun perks, • Additionally, hybrid employees have the flexibility to work from locations outside of their home office from up to 6 weeks per yearComp \u007C Perks \u007C Benefits, • Eligible for equity, • 99% employer paid health benefits (Medical, Dental, and Vision) + One Medical subscription, • 18 PTO days/yr + 1 week holiday break, • Monthly health & wellness budget, • Company-sponsored team retreat + social events, • A sabbatical programAt Regard, we carefully consider a wide range of factors when determining compensation, including your skills, qualifications, location, and experience. We expect the base salary range for this position to be $165,000 to $220,000. This is subject to change and may be modified in the future. We encourage all interested candidates to apply. Our goal at Regard is to provide and maintain a work environment that fosters mutual respect, professionalism and cooperation. Regard is proud to be an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, alienage or citizenship status, age, disability or handicap, sex, gender identity, marital status, familial status, veteran status, sexual orientation or any other characteristic protected by applicable federal, state or local laws. We celebrate diversity and are proud of our supportive, inclusive workplace. All candidates must successfully complete a background check as part of the hiring process.

Job Description At Angi®, we've had one simple mission for 30 years: get jobs done well. We make it happen by connecting homeowners with reliable pros who have the skills they need — and connecting pros with homeowners who have the jobs they want. Angi at a glance: • Homeowners have turned to Angi for more than 300 million projects, • 1,000+ home service tasks covered Angi® is defining the future of the home services industry, creating an environment where homeowners, pros, and employees benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. About the role: Angi is seeking an exceptional Director, Artificial Intelligence & Machine Learning to be a driving force behind Angi's transformation. The role is to be a leader in our Artificial Intelligence team, tackling challenges such as integrating Angi's search with LLM Providers like OpenAI GPT and Google Gemini. This is a leadership role, leading a team of dedicated machine learning engineers to both develop ML prototypes and then take them to production. In addition to being a leader, we're also looking for someone who can dive into tech and get their hands dirty to solve some of Angi's biggest technical challenges. What you'll do • Leadership: Lead and grow a team of talented machine learning engineers, providing guidance, mentorship, and support to foster professional growth. For our most complex challenges, you will dive into the tech to work through solutioning alongside your team., • LLM Deployment and Optimization: Oversee the fine-tuning and deployment of LLMs, including Retrieval-Augmented Generation (RAG) in an agentic framework, with a focus on optimizing model performance and scalability to enhance user experience and drive business results., • Integration with 3rd Party AI APIs: Oversee the integration and management of AI tools and third-party solutions, including OpenAI GPT, Google Gemini, Meta AI, and Salesforce AI, to enhance user experience and business performance., • Engineering & Product Collaboration: Partner with engineering, product, and design teams to build robust, scalable real-time APIs, and work on the entire development process to seamlessly integrate AI solutions into our products., • You have a Master's or Ph.D. in a computer science or quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields)., • You have 10+ years of experience in machine learning & engineering, with a focus on large-scale distributed application architecture for deploying ML models to production., • You are an expert in machine learning deployment, API development, and real-time ML workloads., • You are proficient in Python and comfortable diving deep into technical challenges alongside your team. We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Our hiring process may utilize artificial intelligence (AI) tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making. Compensation & Benefits • The salary band for this position ranges from $250,000-$325,000, commensurate with experience and performance. Compensation may vary based on factors such as cost of living., • This position will be eligible for a competitive year end performance bonus & equity package., • Full medical, dental, vision package to fit your needs, • Flexible vacation policy; work hard and take time when you need it, • Pet discount plans & retirement plan with company match (401K), • The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world #LI-Remote

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at Requirement: Hybrid in-office at our Sunnyvale, CA OR Bellevue locationsWhat You'll Do: • Develop agents using AI capabilities into applications using frameworks such as LangChain, LangGraph, ChatGPT API, and Glean API, • Design and build first-party web and mobile applications using React (TypeScript) and modern front-end frameworks, • Develop scalable backend services in Node.js and Go for data processing, orchestration, and automation, • Build internal AI agents and copilots that assist with tasks in Finance, Billing, and Supply Chain domains, integrating with systems like ERP, HRIS, MRP, DCIM, Data Warehouse among others - either natively or via an iPaaS like Workato or Boomi, • Implement APIs and microservices that enable modular and event-driven application architectures, • Leverage GenAI tools (Cursor, Claude, Copilot, ChatGPT Codex) to accelerate development, testing, and documentation, • Ensure robust observability, maintainability, and security across the application stack, • Programming Experience: 3+ years of professional programming experience in languages such as TypeScript, Python, Go, C++, C#, or Java, specifically for delivering production-grade cloud services., • Full-Stack Proficiency: Proven expertise in modern backend (e.g., FastAPI, gRPC) and frontend technologies (e.g., React, Next), including the development of scalable backend services in Node.js and Go., • AI/LLM Experience: Solid familiarity with Generative AI frameworks (LangChain, LangGraph, ChatGPT API, or Glean API) and experience shipping production-grade AI/ML/LLM-based applications, or strong desire to build them., • Architecture: Solid experience designing and implementing RESTful APIs, microservices, and event-driven integration architectures., • Cloud & DevOps: Strong understanding of cloud environments (AWS, Azure, or GCP), container orchestration (e.g., Kubernetes), and proficiency with DevOps and CI/CD principles., • Automation Tooling: 3+ years of experience in scripting (Python or Bash) for automation and tooling.Preferred:, • Experience developing AI-powered or agentic applications integrated with complex enterprise data (ERP, HRIS, DCIM, Data Warehouse)., • Proficiency with machine learning and data engineering platform tools (e.g., Ray, Kafka, Spark)., • Experience with iPaaS platforms (Workato, Boomi) for building internal AI agents and copilots., • You love to leverage cutting-edge GenAI tools (like Cursor, Claude, or Copilot) to accelerate your own development, testing, and documentation processes., • You're curious about designing solutions with user experience (UX) and long-term system maintainability as a top priority., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $139,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What Youll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at the Role: SysEng HAVOCK (Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kernel) CoreWeave is looking for a Senior Systems Engineer who is ready to evolve beyond traditional DevOps. You will start by stabilizing and scaling our Linux OS and Kernel build pipelines. Once the foundation is set, you will lead the transition to AI-native infrastructure, building "smart" workflows that don't just report errors, but understand and fix them. You are a Systems Engineer at heart, but you are ready to apply LLMs, RAG, and predictive modeling to solve infrastructure challenges at scale. Our Team's Stack: • Languages: Python, Go, bash/sh, • Observability: Prometheus, Victoria Metrics, Grafana, • OS & Kernel: Linux Kernel (custom build), Ubuntu, • Hardware: Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs, • Pipeline Architecture: Design, maintain, and automate reproducible OS image build pipelines for our massive fleet of GPU-accelerated servers., • Kernel Distribution: Collaborate with kernel engineers to package, validate, and distribute custom Linux builds across Intel, AMD, and ARM architectures., • Dependency Management: Build tooling to manage dependencies, versioning, and release workflows, ensuring hermetic builds., • Telemetry & Metrics: Standardize the collection of build metrics to create a baseline for future AI modeling., • "Smart" CI/CD & Auto-Remediation: Architect AI agents that ingest and analyze build logs in real-time. Develop systems that auto-triage errors, categorize failure patterns, and generate context-aware fix suggestions for engineering teams., • Predictive Regression Modeling: Design ML workflows that utilize historical performance data to detect kernel and OS regressions (latency, throughput, stability) in staging environments before they impact production., • Dynamic Kernel Tuning: Implement closed-loop feedback systems that analyze real-time system metrics and automatically suggest or apply sysctl parameter optimizations for specific customer workloads., • 4+ years of professional experience in Linux Systems Engineering, Release Engineering, or DevOps., • Deep knowledge of Linux internals (boot process, kernel modules, networking stack)., • Experience with package management (Debian/Ubuntu) and build systems., • Strong proficiency in Python (essential for the AI integration aspects of this role)., • Demonstrable experience integrating API-based AI models (OpenAI, Anthropic, or local open-source models) into software workflows., • Understanding of RAG (Retrieval-Augmented Generation) architectures for querying technical documentation or logs., • Experience building event-driven automation (e.g., using webhooks to trigger analysis agents)., • Experience with Kubeflow or MLFlow., • Background in High-Performance Computing (HPC). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Software Engineer, Full Stack (Frontend-Leaning) Location: New York City (SoHo) — In-Person About Our Client Our client is building the next-generation platform for institutional finance. The OTC derivatives market moves trillions of dollars daily on infrastructure that hasn't meaningfully evolved in decades—this team is modernizing that foundation with a delightful user experience, a modern cloud-native stack, and an AI-native architecture designed for how financial services will operate over the next 10–20 years. The team comes from trading, quantitative, and engineering roles at top-tier financial institutions, and they're building systems capable of processing complex, high-stakes transactions across global markets. Their customers include sophisticated banks, hedge funds, and asset managers—meaning the problems are hard, the expectations are high, and the impact is real. Tech Stack * Cloud-native architecture (serverless-first) + Infrastructure-as-Code (IaC) * Backend services in Python and Java * Frontend in TypeScript / React * AI tooling leveraging modern foundation models * Automated SDLC with tools like GitHub, Logfire, Vercel, and rapid intraday deployment practices The Role Our client is hiring a Full Stack Software Engineer with a frontend focus to help build and scale the systems powering a derivatives and capital markets platform. You'll translate financial and business requirements into reliable, scalable, user-friendly product experiences—working closely with engineers and stakeholders in a fast-moving environment. This is a hands-on role for someone who enjoys building polished front-end experiences while still being comfortable going full stack when needed. What You'll Do * Build and maintain high-performance React/TypeScript applications used by institutional finance teams * Develop responsive, accessible, and data-rich UI experiences (tables, workflows, analytics views) * Partner with product and design to translate complex workflows into intuitive user journeys * Integrate with backend services (Python/Java) through REST and/or GraphQL APIs * Contribute to scalable architecture, clean code practices, testing, and deployment automation * Help enhance platform reliability and performance in a high-expectation, high-velocity environment Requirements * Bachelor's degree in Computer Science, Engineering, Mathematics, Financial Engineering, or related field * In-person in NYC (SoHo) * Strong proficiency in React and modern JavaScript/TypeScript * Experience building responsive, accessible, data-driven frontend applications * Working knowledge of backend development in Python, Java, or similar languages * Experience with databases (e.g., MongoDB or other object/document databases) * Experience integrating with RESTful and/or GraphQL APIs * Familiarity with cloud infrastructure and deployment (AWS, GCP, or Azure) * Strong software design fundamentals across frontend and backend * Ability to collaborate cross-functionally (engineering, product, design) * Strong debugging, problem-solving, and communication skills Bonus Qualifications * Financial systems knowledge: reference data, pricing, market data integrations * Experience with trade capture, valuation, risk, or post-trade workflows * Familiarity with derivatives, FX, or fixed income products * Experience with reconciliation and operational data pipelines * Prior experience supporting institutional clients in capital markets * Experience building or integrating Generative AI (OpenAI, Anthropic, Gemini) into financial applications What Success Looks Like (First 90 Days) * Ship meaningful frontend improvements that reduce friction in core workflows * Build confidence with the domain (OTC derivatives + post-trade lifecycle) and the platform architecture * Improve UI performance, reliability, and developer velocity through clean patterns and automation * Become a trusted owner of key product surfaces used by sophisticated institutional customers

Job Description Role Overview: We are seeking a Senior Amazon Connect Engineer to lead the design, development, and delivery of modern cloud-based contact center solutions leveraging Amazon Connect and related AWS services. This role will serve as a key technical authority, responsible for building scalable voice and chat solutions, driving system integrations, and ensuring high-performing, resilient architectures that enhance customer engagement. Key Responsibilities: Architecture & Design • Define and own the end-to-end technical strategy for Amazon Connect implementations., • Architect secure, scalable, and fault-tolerant contact center systems., • Lead platform modernization and migration from legacy telephony systems to AWS-based solutions. Development & Integration • Design and build advanced contact flows, Lex bots, routing logic, and IVR frameworks., • Integrate Amazon Connect with Salesforce, ServiceNow, and custom CRM applications., • Develop AWS-based backend services using Lambda, API Gateway, DynamoDB, Kinesis, and EventBridge., • Implement AI-driven experiences using tools such as Amazon Bedrock, OpenAI, or LangChain. Operations & Support • Support production environments and ensure system reliability through monitoring and automation., • Perform root-cause analysis and implement continuous improvements for incident management., • Establish observability metrics (SLIs/SLOs) and dashboards to track performance. Leadership & Collaboration • Mentor junior engineers and support team skill development., • Partner with network and security teams to maintain compliance, IAM policies, and QoS standards., • Deliver analytics and reporting capabilities for business operations. Required Skills & Qualifications: • 5–10+ years of experience in telephony, contact center technology, or AWS backend development., • 3+ years hands-on experience with Amazon Connect preferred., • Strong experience with AWS services including Lambda (Node.js/Python), API Gateway, DynamoDB, S3, CloudWatch, and IAM., • Experience integrating with Salesforce Service Cloud Voice or similar platforms preferred., • Knowledge of networking and telephony concepts such as SIP, RTP, and PSTN., • Experience with REST/GraphQL APIs, JWT, and OAuth/SAML authentication., • Familiarity with Terraform, CloudFormation, Git, and CI/CD automation., • Strong analytical, communication, and leadership skills. Preferred Certifications: • AWS Certified Solutions Architect or Developer, • Salesforce Service Cloud or Omni-Channel Certification

Job Description About Fractional AI Fractional AI builds bespoke gen AI software to transform businesses. Every C-suite in the country is trying to bridge the gap between AI in theory and AI in practice. We close this gap with exceptional engineering talent and custom end-to-end AI builds (see some of our case studies to learn more). We’re profitable, scaling fast, and focused on solving the hardest problems in applied AI. About the role As our first marketing hire, you’ll define how the world sees Fractional AI. Your job is to establish us as the go-to authority in applied AI for customers, developers, and the broader market while building scalable, AI-native marketing systems from the ground up. What you’ll do: * Brand and Positioning: Set and execute the vision for how Fractional AI is seen by customers, developers, and the broader market. * Market Education: Lead workshops, roundtables, and events to help enterprises and Private Equity firms understand and apply AI effectively. * Content Leadership: Produce high-quality, timely content (white papers, newsletters, dev blogs, and social posts) tied to emerging AI trends and Fractional’s unique vantage point. * Developer Community-Building: Grow a technical audience around our work. Create content, host events, and open conversations that developers want to be part of. * AI-Native Marketing: Design and run scalable, AI-powered marketing workflows for content creation, distribution, and measurement. * Market Intelligence: Track AI developments and convert them into insights that shape Fractional’s brand and offerings. What you bring to the table: * Developer-Focused Marketing Experience: You’ve worked at the intersection of engineering and marketing, ideally in a DevRel, technical marketing, or community role. You know how to build trust with developers and communicate technical value credibly. * Exceptional Communication Skills: You can translate complex AI concepts into clear, engaging language for different audiences, from enterprise buyers to technical practitioners. * Full-Stack Content Capability: You’re equally comfortable writing a whitepaper, recording a Loom explainer, drafting a tweet thread, or launching a newsletter. * Bias for Action: You don’t wait for permission. You ship. You test. You’re excited to build with a high degree of ownership and autonomy. * Community and Ecosystem Building: You’ve contributed to developer communities, organized events, or created programs that help technical audiences connect, learn, and build together. * High Standards: You care about the craft. You hold the line on quality and protect the brand fiercely. Snapshot of your first 90 days: * Co-author our next cookbook with OpenAI and explore additional opportunities for joint marketing. * Launch a dev newsletter, building upon real-time lessons from internal experiments and dozens of enterprise gen AI builds. * Set the vision and build the content for the next series of roundtable discussions with Private Equity Operating Partners and CTOs at their portfolio companies. * Immerse yourself in all things Fractional AI – from monthly happy hours, to weekly AI Toolsday and cross-project readouts. Why you should (and shouldn’t) join us We believe in transparency and know joining a company is a big decision. We’re not the best fit for everyone and try to be clear on what we are and what we’re not so you make the choice that’s right for you. Why join Fractional? * A huge and growing problem space: Getting gen AI into production is the challenge of our time. Most offerings on the market don’t meet the need – they are one size fits all product solutions or advising services without the engineering team to deliver. We offer the right solution for today’s need, and we’re profitable and growing rapidly with more demand than we can staff. * A front-row seat to the AI revolution: You’ll gain firsthand exposure to what’s real (and what’s hype) in AI. From enterprise applications driving real value to cutting-edge AI developer tools, you’ll build a perspective few others have… and fast. * Space to build: You’ll be our first marketing hire. That means true ownership, huge surface area, and the chance to build a function from the ground up. If you're hungry to have an outsized impact, this is the seat. Why shouldn't you join Fractional? * We are unapologetically building an engineering-first culture – this is how we build the team to meet the moment. We overdeliver for our clients by crafting a culture that enables the best engineers to thrive. * We are a professional services business. Building for clients and their customers is distinctly different from building for your own product’s customer or users. It’s not for everyone. * We’re a team of doers. For the right person, this is a pro, not a con, but this is a “build what you need” role with a “no job too big, no job too small mindset.” Our Values We overdeliver. We overuse AI. We “over engineer” the culture. Location San Francisco, CA, or New York City, NY (4 days in-person, Fridays remote) Benefits 🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills. 📈 401k with Matching: Invest in your future with our company-matched retirement plan. 🌴 Unlimited PTO: Take the time you need to relax and rejuvenate. 🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy. 🚑 Health FSA: Manage out-of-pocket health expenses effectively. 🚌 Commuter Benefits: Make your travel to work easier and more affordable. 🏥 Life Insurance: Providing peace of mind for you and your loved ones. 🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spir Compensation Range: $150K - $200K

Job DescriptionHead of Marketing Location: New York, NY or San Francisco, CA Work Model: Hybrid Industry: Enterprise AI Infrastructure / Developer Tools Employment Type: Full-time Compensation: Competitive salary and equity (commensurate with experience) About the Company MCP is how AI connects to tools and data—the emerging standard created by Anthropic and adopted by OpenAI, Google, and Microsoft. Our partner has deep roots in this ecosystem, having helped establish and operationalize the protocol. The team previously built AI Actions for OpenAI, shipped AI agents used at scale, and launched the first remote MCP server in collaboration with leading AI research organizations. They are now focused on building what enterprises need to adopt MCP safely and responsibly. The company is developing the control plane for enterprise MCP, providing security, observability, and management that allows organizations to connect AI to internal systems without added risk. The team has raised $11M in seed funding from top-tier investors and works closely with the original creator of MCP. The organization is approximately 15 people, primarily engineers, moving quickly and signing customers. The Opportunity Our partner is hiring a Head of Marketing to build and scale the go-to-market engine from the ground up. This is a foundational leadership role responsible for defining narrative, positioning, and market presence at a pivotal moment in enterprise AI adoption. You will work closely with founders, product, and sales to translate a highly technical platform into clear, credible messaging for enterprise and developer audiences, while establishing trust and authority in a rapidly evolving market. Responsibilities • Develop and execute the overall marketing strategy, including positioning, messaging, and campaigns, • Build a strong, credible brand across web, social, events, and media, • Own core growth levers such as content, product marketing, community, demand generation, and PR, • Partner closely with sales and product teams to align go-to-market motions, • Test, iterate, and refine strategies using data and market feedback, • Lead presence at industry events, conferences, and community engagements, • Scale the marketing function over time, operating hands-on initially Requirements • 7+ years of experience in marketing roles at fast-growing B2B SaaS, infrastructure, or AI companies, • Experience building and executing multi-channel marketing programs from scratch, • Strong written, verbal, and visual storytelling skills, • Solid understanding of growth marketing, product launches, and community-led strategies, • Data-driven mindset with the ability to prioritize, measure impact, and iterate quickly, • Demonstrated leadership ability, comfortable operating as a team of one or scaling a function Bonus Qualifications • Background in developer-focused or AI/ML products, • Experience launching and growing new products or brand initiatives, • Experience building communities or running high-impact events and campaigns What We Offer • Competitive salary and meaningful equity, • Four weeks of paid vacation, paid sick leave, and paid parental leave, • Professional development budget for conferences, courses, and certifications, • Choice of laptop and accessories, • Comprehensive health, dental, and vision coverage, • Opportunities to work directly with customers and see immediate impact

Job DescriptionAutomation Engineer (Internal Tools/AI) Automation Engineer (Internal Tools / AI) Compensation: $130,000 - $140,000 base salary + benefits Location: New York / New Jersey (2-3 days hybrid preferred) OR remote with ability to travel for in-person meetings as needed About the Role We're working with a large, enterprise organization looking to add an Automation Engineer focused on building internal tools and AI-driven workflows that improve efficiency across the business. This is a hands-on role where you'll partner directly with business teams to identify manual processes and rapidly deliver scalable automation solutions using a mix of low-code platforms, cloud services, and emerging AI technologies. Key Requirements • Microsoft Power Platform (Power Apps, Power Automate), • AWS experience (Lambda, Step Functions, or similar), • Recent (last 1-2 years) experience leveraging GenAI (LLMs, AI agents, Copilot, Bedrock, OpenAI, etc.) to support automation and business workflowsWhat You'll Do, • Design and build automation solutions that replace manual, repetitive workflows, • Develop applications using Microsoft Power Platform (Power Apps, Power Automate, Dataverse), • Integrate systems using APIs, webhooks, and modern authentication methods, • Leverage AWS services (Lambda, Step Functions, etc.) for orchestration and integrations, • Build and support AI-driven workflows, including LLM-based use cases and agents, • Work directly with business stakeholders to translate loosely defined problems into working solutions, • Rapidly prototype and deploy solutions in days or weeks, not months, • Ensure reliability, scalability, and performance of deployed toolsWhat Success Looks Like (First 6 Months), • Multiple manual workflows replaced with stable, production-grade automation, • Business teams actively using your solutions and requesting enhancements, • Measurable reduction in manual processes (email, spreadsheets, repetitive tasks), • Solutions delivered in days/weeks, not months, • Recognized as a go-to partner for automation and process improvementWhat We're Looking For, • 5+ years of hands-on experience building internal tools or automation solutions, • Proven track record of workflow / business process automation, • Experience with API integrations (REST, JSON, webhooks), • Experience working in fast-paced, ambiguous environments, • Strong communication skills and ability to partner with non-technical stakeholdersNice to Have, • Experience building AI agents or advanced LLM workflows, • Background with RPA tools (UiPath, Automation Anywhere), • SQL / data integration experience, • Familiarity with tools like Jira, Confluence, SharePoint, TeamsWhy This Role, • High-impact role with visibility across the organization, • Opportunity to work with modern automation and AI technologies, • Fast-paced environment focused on delivering real business outcomes, • Strong ownership and ability to shape automation strategy - For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 03/30/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.