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Job DescriptionNote: This position is open to remote applicants based in the US only.Job Title: Software Engineer (Data Platform)Location:& Remote. United States ONLY.Employment Type:& Salaried W2 Full-Time.Salary: $125,000 - $200,000About the company We represent a rapidly growing data company in NYC that’s redefining how real-world assets are represented and traded on public blockchains. Their platform serves investors, issuers, and financial institutions by providing reliable analytics, market intelligence, and transparent data on tokenized assets across the globe. They’re trusted by leading players in finance and blockchain for their accuracy, scale, and forward-thinking approach to digital asset infrastructure. It’s an exciting opportunity to join a team that’s helping shape the future of real-world asset tokenization and build technology that’s changing how the financial world connects. Responsibilities * Build and scale core data systems and APIs that serve product-level analytics * Collaborate with application engineers to ensure clean data flow between backend systems and end-user features * Develop and optimize data pipelines using PySpark and Databricks * Work closely with the lead data engineer on system architecture and data infrastructure design * Participate in system design discussions focused on scalability, performance, and maintainability * Contribute to the full software development lifecycle, from design through deployment * Support product and engineering teams by turning raw data into usable insights & Ideal Background * 4 to 5+ years of software engineering experience, preferably focused on large-scale data systems * Strong proficiency in Python and experience with PySpark * Experience with distributed frameworks such as Apache Spark, Beam, Flink, or Kafka Streams * Proven ability to design, build, and maintain production-grade data pipelines and APIs * Background in computer science, computer engineering, applied mathematics, or a related field (top 50 university or equivalent rigor preferred) * Experience working on data-driven products rather than internal BI or reporting systems * Strong communication skills and the ability to explain technical tradeoffs clearly * High attention to detail, ownership mindset, and a passion for building high-quality systems Nice to Have * Experience in fintech, blockchain, or other data-intensive environments * Hands-on experience with Databricks or real-time streaming data systems * Demonstrated curiosity and craftsmanship through side projects or open-source work

Job DescriptionAbout usToday’s financial system is built to favor those with money. Grid’s mission is to level that playing field by building financial products that help users better manage their financial future. The Grid app lets users access cash, build credit, spend money, optimize their taxes, and lots, lots more. Grid is a fast-growing team that’s deeply passionate about making a difference in the lives of millions. We’re solving huge problems and believe that every team member has a big role to play. Come join our growing team in our brand new Seattle office! The roleWe’re adding Software Engineers to our team to help us build and scale our user-facing products. You'll work closely with product, engineering and business leaders to help people optimize their taxes with 0 effort, bridge gaps between paychecks, build their credit score, and more! With access to a robust pipeline of excited paying users with high intent to use Grid, you'll have a significant impact on our users' happiness and financial wellbeing. The teamWe're focused on serving our users above all else all while building a robust business. To this end, Grid's team members experience high levels autonomy and ownership, and as a company we value curiosity, learning and growth. At Grid, you'll be surrounded by a team that is motivated, mission-driven and pragmatic. The tech stackOur backend tech stack is based on GCP, Go, protobufs, BigQuery and MySQL. We have built our platform from the ground up to optimize for clean data sources, and we have made numerous investments into data warehousing, streaming analytics infrastructure and offline data cleanliness. As a result, we think Grid is positioned for efficient and powerful data science.What you will be doing • Backend Development: You'll be building product features end to end - domain models, business logic and API integrations that make our product just work for customers., • Deployment & Iteration: We practice a dynamic, data-driven approach to product development. As an product engineer at Grid, you'll build towards bold milestones in well-engineered, incremental releases., • Data Analysis: As a data-driven product, we have robust data pipelines and analytics infrastructure. To be successful at Grid, you'll utilize SQL and other analysis tools to evaluate product and system performance regularly., • Debugging Evented Systems: Grid's backend makes heavy use of pubsub. Testing and debugging complex state machines, in order to create a seamless experience for all users is key., • Shipping to Production: You'll have access to a rapid CI/CD process that enables you to ship to production on the daily. As an engineer, you'll own your implementations end to end and respond to production incidents as needed.About you, • Backend Software Engineer: Significant experience writing consumer-grade backend software, ideally in Go (golang) deployed on GCP., • Startup Person: You seek high growth opportunities and are constantly learning about the world around you. You feel at home with dynamic decision making and an iterative approach., • Experience with FinTech or other complex domains: End-to-end understanding of product engineering in an complex environment, such as financial services, health, insurance, etc., • Experience prioritizing customers and user experience: We're looking for people who make complicated things simple. Financial services tend to be unnecessarily complex by default. We aspire towards lightweight UX that's quick and fun for our users., • Experience with Data-oriented backends: Proven experience in evented systems, data acquisition (screen scraping, crawling), data normalization and API integration is a plus., • Autonomy and Initiative: Ability to work independently and take ownership of projects, showcasing a proactive approach to identifying key leverage points for data products., • Curiosity and Optimism: People who are constantly asking why the world around them work the way it does, and who have the will to change it., • Self Starter: Confidence to prioritize work and delivery demonstrable results on a tight cadence.

Job Description About the Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We're looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere. About the Role We are seeking a Senior Software Engineer to lead the design and evolution of SDKs, APIs, and integration frameworks for Armada's marketplace. You will play a key role in shaping how independent software vendors (ISVs) onboard and deploy applications across our cloud and edge environments, ensuring scale, security, and an exceptional developer experience. Location. This role is office-based at our Bellevue, Washington office. What You'll Do (Key Responsibilities) • Own the design, development, and evolution of SDKs and APIs that power the Armada marketplace, ensuring scalability, usability, and long-term maintainability., • Define and drive best practices for ISV onboarding workflows, including secure and reliable deployment patterns for applications running at the edge., • Architect and optimize backend services for multi-tenant, cloud-native, and Kubernetes-based environments, focusing on scalability, availability, and performance., • Collaborate closely with platform engineering (CaaS/GPUaaS), product, frontend, and DevOps teams to deliver seamless integration between infrastructure capabilities and ISV-facing services., • Lead and participate in technical design reviews, setting standards for API contracts, versioning strategies, and developer experience., • Mentor mid-level engineers, providing guidance on backend design, API patterns, and cloud-native best practices., • Introduce and maintain observability (monitoring, logging, metrics, alerting) for marketplace and ISV integration workflows to ensure reliability and fast issue resolution., • Ensure code is clean, well-tested, and maintainable; establish practices that raise code quality across the team., • Contribute to architecture documentation and advocate for consistent technical standards across marketplace services Required Qualifications: • 7+ years of backend development experience, with strong proficiency in Go (Golang) or a similar systems language., • Proven expertise in designing and scaling SDKs and APIs used by external developers, including experience with API versioning, usability, and long-term maintainability., • Deep experience with Kubernetes and containerized application deployment, including multi-tenant architectures, RBAC, and secure deployment workflows., • Strong understanding of cloud platforms (AWS, GCP, Azure) and hybrid cloud/edge integration patterns., • Solid knowledge of SQL/NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Redis) and data modeling for distributed systems., • Experience architecting and optimizing CI/CD pipelines for Kubernetes-native environments., • Familiarity with observability practices (monitoring, logging, alerting, metrics) for distributed services., • Strong grasp of concurrency and performance optimization, particularly in Go (goroutines, channels, async patterns)., • Demonstrated ability to lead design reviews, mentor engineers, and set technical direction for backend or marketplace services., • Proficiency with version control systems (Git) and collaborative development practices (code reviews, branching strategies)., • Commitment to producing clean, maintainable, well-tested code with unit, integration, and performance testing. Compensation For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications. In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request). Benefits • Competitive base salary and equity, • Medical, dental, and vision (subsidized cost), • Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA), • Retirement plan options, including 401(k) and Roth 401(k), • Unlimited paid time off (PTO), • 15 paid company holidays per year #LI-ST1 #LI-Onsite #459 Compensation$144,000—$180,000 USD You're a Great Fit if You're • A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge, • A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude, • Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company, • A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda, • Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time. Unsolicited Resumes and Candidates Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.

Job DescriptionAbout xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role The omni team at xAI creates magical AI experiences beyond text, enabling understanding and generation of content across various modalities, including image, video, and audio. As a multimodal engineer, you will drive the development of real-time video and multimodal world models through various aspects such as data, modeling, training, serving, and product. You will work on both pretraining and posttraining and collaborate with product teams to push the frontiers of model capability as well as the end-to-end user experience. Focus • Creating and driving agendas to advance real-time world simulation capabilities., • Improving data quality, developing data filtering/generation techniques, and performing data study., • Creating evaluation frameworks and internal benchmarks., • Designing and implementing effective and efficient algorithms for achieving state-of-the-art model performance.Ideal Experiences, • Track record in leading studies that significantly improves the capability and performance of neural networks, whether better data or better modeling., • Experience in data-driven experiment designs and systematic analysis for iterative model debugging., • Experience in developing or working with large-scale distributed machine learning systems., • Experience in graphics engines and rendering techniques is considered an advantage., • Python, • Jax, • One-on-one discussion & coding interviews (three meetings total) Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. Recruiting Privacy Notice and California Consumer Protection Act (CCPA) Notice

Job Description About Us: Gable.ai is a Seattle-based startup revolutionizing the data industry. Through our data communication, change management, and collaboration platform, we empower developers to build and manage data assets, bridging the gap between data producers and consumers to upscale data quality. Fresh out of stealth mode and backed by prominent venture partners, our mission is to reshape data management by fostering collaboration and innovation. Join us in transforming the landscape of the data industry! Responsibilities: As a Senior Software Engineer, your primary responsibilities will be to own design and delivery of full stack product features. A key component of your work will be to scope out and build the best-possible data solutions to green-field problems at scale. This includes working directly with customers to define the problem, shortlisting tools and technologies, implementing and validating production grade software, evaluation, and deployment. You'll build key product features with direct impact on company success. You'll work closely with customers to understand their problems and requirements. You'll focus on generalizing your work and building abstractions that improve a variety of integration with common data stack oriented technologies. Requirements • You have minimum 5 years of writing production grade software, ideally with experience at a B2B SaaS company, • Experience with a modern object-oriented language such as Python, Go and Java, • You’re excited about being cross-functional and owning the lifecycle of building novel solutions to complex problems — from development to deployment., • You stay up-to-date with the latest developments in your area of interest in both software development and the data space. You’re comfortable reading technical papers and documentation, and reproducing the results in a production environment., • You’ve previously worked with a variety of backend technologies, including Infrastructure as Code (Terraform/Pulumi), relational databases and NoSQL databases, and modern API frameworks., • You’re really excited about solving the biggest challenges in the modern data stack and building applications that leverage these technologies for solving complex data problems., • You enjoy fast-paced environments and exhibit a high degree of ownership and self-sufficiency. Unstructured environments are exciting to you because they represent opportunities for growth and leadership. Tech Stack: • TypeScript, • Python, • Node, • Postgres, • AWS, • Be part of a pioneering team that is redefining the data industry., • Work on cutting-edge technology with the opportunity to make a significant impact., • Collaborate with a talented and passionate team of engineers and industry experts., • Enjoy a dynamic, fast-paced, and supportive work environment., • Competitive compensation package and benefits. If you are passionate about the intersection of software engineering and data, and eager to contribute to the future of data management and collaboration, we would love to hear from you. Gable.ai is an equal-opportunity employer and encourages applications from candidates of all backgrounds and experiences.

Job DescriptionABM, a leading provider of integrated facility solutions, is looking for a Lead Building Engineer. The Building Engineer supports the designated leadership with the daily operations of all building systems. This includes hard surface maintenance and repair, basic carpentry and metal work, operating, maintaining and repairing all facility system equipment associated with HVAC operations and mechanical and electrical systems. The Building Engineer will also respond to customer requests and submit and close work orders as necessary and perform other duties as assigned. Pay: $52HR+ DOEThe pay listed is the hourly range or the hourly rate for this position. A specific offer will vary based on applicant’s experience, skills, abilities, geographic location, and alignment with market data. Benefit Information: ABM offers a comprehensive benefits package. For information about ABM’s benefits, visit ABM Employee Benefits \u007C Front Line Team MembersEssential Functions: • Follows safe practices and complies with company and regulatory standards, • Qualified to operate or assist in operating all heating and ventilating equipment, engines, turbines, motors, combustion engines, pumps, air compressors, ice and refrigerating machines, air conditioning units, fans and siphons on the site assigned, • Must be flexible and willing to complete all tasks as assigned, • You will be responsible for working with both internal and external customers on technical issues, work scope recommendations and failure investigations, • You could work in a variety of engineering departments based on current needs Responsibilities:, • Provides engineering support for a wide range of systems, maintenance programs, engines as well as operational engineering functions, • Must be able to understand, analyze and seek solutions to the design, operation, maintenance, performance or repair of vehicles/equipment and their components, • Should be able to logically approach problem solving, define a maintenance program or configuration and ensure a safe and legal operation, • Reviews Service Bulletins (SBs) from manufacture or component manufacture, • Develops solutions and implementation plans, project justification, cost/benefit analysis, and overall management of project implementation and coordinate warranty recovery on SBs that are applicable, • Organizes and manages the priorities for assigned responsibilities and accomplishes the work process to meet all deliverable for projects as well as maintenance program changes and technical specification revisions, • Coordinates work with other operational groups to ensure safety, regulatory compliance, operational reliability and operational efficiencyQualifications:, • Engineering skill sets which can be applied to a range of systems, maintenance programs and engines, • Must meet all requirements to receive approval for working in specific ATS environments (if applicable), including ten-year work history if available

Job DescriptionBuilding data-driven AI applications and agents is too complex, even for advanced developers. At Spice AI, we’re making it simpler by helping developers combine code, data, and AI to build truly intelligent, decision-making systems. Our mission is to make this as easy as creating a modern web page. We created Spice.ai OSS, a portable AI database written in Rust with a unified SQL interface to query, materialize, and accelerate data from any source, co-located with machine learning models. By bringing compute, data, and models together, Spice OSS enables secure AI-Feedback-Loops (AI-Fly-Wheels) for apps and agents to learn and adapt. We just announced the 1.0-stable release of Spice.ai OSS. For a deeper dive into the vision, watch Luke's CMU Databases talk on Spice.ai OSS at and read his Materialized View interview at . We're also building the Spice.ai Cloud Platform, offering managed, cloud-scale Spice.ai OSS along with tools for high-performance SQL, machine learning training, and inference in an interconnected AI backend-as-a-service. At Spice AI, we hire for MEI: Merit, Excellence, and Intelligence. We're looking for exceptional, top-tier engineers - A players - who are driven to solve hard problems and push the boundaries of what's possible for AI.Who we are looking for • You are an exceptional engineer., • You are a problem solver. You start customer problems and figure out how to solve them with technology., • You think differently. You do not accept the status-quo. You challenge the current model of the world and take leaps of faith to build it better for everyone., • You are positive. Instead of focusing on limitations, you ask what’s possible., • You care about meaningful work. Your work is more than a job., • You are comfortable with ambiguity and unknowns, and in these situations, you lead by creating clarity., • You are passionate about high performance and have high standards.What we're looking for, • At least 2 years professional experience with Rust or 3+ years professional experience in C/C++, • Experience in designing, implementing, scaling and shipping production distributed and data systems., • A track record of strong design, architectural, engineering and product decisions., • Excellent communication skills., • Ability to ramp up quickly and hit the ground running., • Ideally experience contributing to open-source projects., • Experience with Apache infra, CNCF-stack, and cloud-native development, and ideally with Rust/Golang.Your responsibilities, • An outstanding contributor in the Spice.ai open-source project., • Creating, designing, and building the distributed and data systems architecture of the Spice.ai Cloud Platform, our cloud systems, and spicerack.org., • Take ownership and drive initiatives for improving the product.Your first 90-days, • Your first month - ramp up and contribute improvements to the Spice.ai project, • 30-60 days - contribute to weekly Spice.ai releases

Job Description About the Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We're looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere. About the role We are looking for a senior ontology and semantic systems engineer to design and operationalize Armada's semantic layer—the foundation for how our AI systems understand, reason over, and act on data. You will develop and maintain ontologies, semantic schemas, and knowledge graph infrastructure that power search, reasoning, agent orchestration, and domain-specific applications across energy, industrial, defense, and logistics sectors. This is a role at the intersection of knowledge representation, semantic web technologies, and applied AI—ideal for someone who wants to shape the way complex, multi-modal data becomes machine-understandable and fuels AI/agent workflows at scale. What You'll Do (Key Responsibilities) • Define, model, and maintain ontologies using OWL, RDF, RDFS, SKOS, SHACL, and related W3C standards. Translate real-world operational knowledge into formal semantic models., • Build and manage knowledge graphs / triple stores; expose SPARQL endpoints; design performant queries; support large-scale semantic reasoning., • Provide APIs and access layers so AI/ML models, retrieval-augmented generation (RAG) pipelines, and autonomous agents can fetch, reason, and act on semantic data., • Design pipelines to transform structured and unstructured sources (CSV, XML, JSON, relational DBs, sensor feeds) into RDF/semantic formats., • Define best practices for ontology modularity, versioning, IRI management, vocabulary reuse, and schema evolution., • Partner with AI engineers, product managers, and domain experts to ensure semantic models reflect operational reality (e.g., drilling, logistics, geospatial, safety)., • Validate data with SHACL or similar frameworks, ensuring semantic integrity, consistency, and compliance with enterprise standards., • Master's or Doctoral degree in Computer Science, Information Science, Knowledge Representation, Ontology Engineering, or related field., • 5+ years of hands-on experience in ontology engineering, semantic web, or knowledge graph development., • Deep expertise in RDF, OWL, SPARQL, and W3C semantic web standards., • Experience with at least one major triple store or graph DB (for example, GraphDB, Stardog, Virtuoso, Neptune, AllegroGraph, Neo4j where applicable)., • Strong programming and scripting ability (Python, Java, or similar) for semantic ETL and API development., • Experience implementing validation rules (SHACL, ShEx) and maintaining semantic integrity at scale., • Experience building or operating large-scale knowledge graphs with billions of triples., • Familiarity with integrating ontologies with AI/LLMs (e.g., retrieval-augmented generation, agent orchestration, grounding for multimodal models)., • Domain expertise in industrial, energy, geospatial, logistics, or defense ontologies., • Contributions to ontology or semantic web communities / standards bodies. For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications. In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request). Benefits • Competitive base salary and equity, • Medical, dental, and vision (subsidized cost), • Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA), • Retirement plan options, including 401(k) and Roth 401(k), • Unlimited paid time off (PTO), • 15 paid company holidays per year #LI-AB1 #LI-Onsite Compensation$180,000—$225,000 USD You're a Great Fit if You're • A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge, • A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude, • Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company, • A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda, • Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time. Unsolicited Resumes and Candidates Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.

Job Description Our Client A fast growing standards and insurance startup based in San Francisco, they have raised 15 million dollars in funding and are reinventing how enterprises adopt AI agents. Their two pronged model, which includes creating the industry’s first AI agent standard and pairing it with bespoke insurance coverage, gives AI companies a trusted pathway to certify their agents and reduces enterprise risk. By helping AI vendors earn credible certification and providing insurance protection against failures such as hallucinations, data leaks, or control breakdowns, they enable enterprise buyers to deploy AI with confidence rather than fear. With deep expertise in AI risk, insurance, and standards, they are building the essential “confidence infrastructure” that will support safe AI scale up. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that’s deeply embedded in our clients’ recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: San Francisco Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities * Lead end-to-end development of AI agent products and infrastructure, collaborating closely with the founding team. * Build and scale evaluation pipelines to detect AI agent failures in deployment (e.g., hallucinations, jailbreaks, brand risks, data leakage). * Design and implement the gold standard for secure, safe, and reliable AI agents. * Develop and maintain full-stack systems, including backend (Python, LangChain) and frontend (React, TypeScript) components. * Create monitoring tools, filters, and authorization frameworks to support AI agent builders. * Work on-site in San Francisco, contributing to a fast-paced, high-agency startup environment. * Ship products frequently, gather user feedback, and iterate rapidly to improve reliability and safety of AI systems. Qualifications * Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. * 1+ years of experience as an AI Software Engineer with active coding responsibilities. * Proven expertise developing AI agents and LLM-based systems (e.g., published research or work in a leading AI team). * Founding or early-stage startup experience, with demonstrated ability to own end-to-end product development. * Strong understanding of AI evaluation methodologies and deployment reliability standards. * Excellent problem-solving and communication skills with the ability to articulate technical impact in business terms. * Evidence of high agency, ownership, and execution velocity (e.g., promotions in <2 years, side projects, or rapid iteration). * Can work full-time on-site in San Francisco (5 days a week).

Job DescriptionAbout HighspotHighspot is pioneering the category that is fundamentally changing the way companies increase sales productivity. On a mission to transform the way millions of people work with sales enablement, Highspot is committed to building breakthrough software with a spark of magic. We believe a great place to work is about more than the work – it’s about what the company stands for, and how it authentically represents its values in the real world. To this end, we have put intentional focus on creating equitable workspaces for each of our employees. Our goal is to create a culture where everyone feels a deep sense of belonging and is empowered to be an agent of change, with the ability to transform themselves, their workplace, and their world. About the RoleWe are looking for a Principal Software Engineer to join our growing Applied AI team. In this Age of AI, this is a rare opportunity to work at the cutting edge of Generative AI, Context Engineering and Agentic business capabilities. As the Principal Software Engineer on the Applied AI team, you will be responsible for applying Generative AI to deliver Agentic capabilities in Highspot, growing and scaling the AI expertise on the team, setting the direction for Generative AI work, coordinating across multiple engineering teams, and coaching team members. You will work with machine learning experts, data scientists, the leadership team, and product managers to drive the team's technical direction with planned AI engineering investments, to prioritize high-impact business outcomes and to deliver on new opportunities. You will be the leader for Generative AI and Agentic solutions on the team, solving hard technical problems to achieve business outcomes.What You'll Do • Apply Generative AI to solve hard unsolved challenges in the application of Agentic AI to real-world business challenges, • Work with a team of Applied AI engineers that works at the bleeding edge of Generative AI to solve high-impact business challenges., • Grow, coach, build and scale talent on the Applied AI team, • Drive operational excellence to achieve enterprise-grade scale, reliability, security, cost-efficiency and performance., • Drive technical direction for building a safe, scalable and reliable Agentic AI platform for all of Highspot, • Communicate complex concepts and the results of analyses in a clear and effective manner to technical and non-technical audiences., • Collaborate with other team members and cross-functionally to share knowledge and discuss initiatives.Your Background, • 2+ years of experience in Generative AI and Agentic AI systems, including LLMs, context engineering, and modern vector-based retrieval systems., • 8+ years working as a professional software developer, • A great understanding of Generative AI systems, best practices and experience in shipping Agentic AI into distributed, data-intensive production systems, • Experience developing and operating Cloud services at enterprise scale, • Strong programming skills in Java, Python, C#, Typescript or equivalent programming languages, • Great collaboration with teams with different backgrounds/expertise/functions., • Expertise in full product lifecycle; technical designs, fast shipping, iterative implementation, and successful product launches., • Experience and passion for mentoring and encouraging collaborative teams. #LI-NT1 Equal Opportunity StatementWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of age, ancestry, citizenship, color, ethnicity, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or invisible disability status, political affiliation, veteran status, race, religion, or sexual orientation. Did you read the requirements as a checklist and not tick every box? Don't rule yourself out! If this role resonates with you, hit the ‘apply’ button.

Job DescriptionIf this role is still posted then we are still recruiting and needing applications.& THIS IS NOT A REMOTE OR WORK FROM HOME POSITION.& Please read this PDF before applying: recruiting-guy.co/obviant-fullstack-more-info& Position:& Full Stack EngineerSalary Range: $130,000 - $195,000, depending on experienceExperience Required: 6+ yearsJob Location: Arlington, VAModality: On-Site only. & & & & & & & & & Must live within commuting distance of Arlington, VA. or be willing to relocate. & & & & & & & & & Relocation is required but not required prior to starting.Relocation Assistance: YesUS Citizenship Required: Yes About the Role: Obviant is hiring a Full Stack Engineer who loves building products from start to finish. You will shape features, architect scalable systems, and bring clarity to complex problems through thoughtful design and clean code. This is a hands-on role where your ideas and ownership will directly shape the product. We are looking for someone who thrives in a fast-paced environment, values collaboration, and enjoys solving problems that have not been solved before. What You Will Do • & & Own projects from concept to launch, including design, architecture, and implementation., • & & Work across the entire stack, from building APIs to developing intuitive frontends and component libraries., • & & Design system architecture that scales and supports product growth., • & & Build tools and visualizations that make complex data easy to understand., • & & Write reliable, maintainable, and well tested code using TypeScript, JavaScript, React, and Node.js., • & & Collaborate with teammates and users to understand workflows and deliver impactful solutions., • & & Take initiative, share feedback, and help define technical direction. Requirements • & & 6+ years of experience as a full stack engineer, preferably in a startup or high growth environment., • & & Strong knowledge of TypeScript, JavaScript, React, and Node.js., • & & Proven frontend development experience., • & & Experience with system design, architecture, and software best practices., • & & The ability to think critically about tradeoffs and build for long term maintainability., • & & Clear communication skills and a collaborative approach to teamwork., • & & A positive, low ego attitude focused on shared success. Nice to Haves • & & Experience working at large scale technology companies such as AWS, Capital One, or similar., • & & Background in building AI or machine learning enabled products., • & & Experience developing internal tools or platforms that empower other engineers. Additional Expectations • & & US Citizenship is required due to U.S. Department of Defense contracts.

Job Description At Belva, we are seeking a talented and experienced Software Engineer II to join our team. We’re a trailblazing A.I. Telecommunications company, searching for an individual who can take code ownership and help lead the charge in AI / ML solutions that make an impact in the lives of millions. Role and Responsibilities: We are seeking a Software Engineer II to join our backend python team at Belva. As a Software Engineer II, you will work closely with our ML and Data Engineers to turn Machine Learning models and data pipelines into robust software applications. You will play a central role in designing and developing how our products use ML technologies such as transformers, vector databases, etc. The ideal candidate should have at least 3 years of experience as a backend Python developer in production environments. You must have a solid understanding of how Python deployments are managed, understand virtual environments and have extensive experience with continuous integration and continuous deployment (CI/CD) best practices. You will be working as a part of a highly experienced and fast moving team of passionate product builders. Duties / Responsibilities: Collaborate with our ML and Product teams to integrate Machine Learning models and data pipelines into software applications. Design, develop, and maintain scalable backend systems that leverage ML technologies such as transformers, vector databases, and other relevant tools. Work closely with cross-functional teams to define requirements, architect solutions, and implement features that enhance the performance and functionality of our ML-driven products. Take ownership of development for backend components, ensuring code quality, performance, and maintainability. Mentor and provide technical guidance to junior developers, fostering a culture of knowledge sharing and continuous learning. Participate in code reviews, providing valuable feedback to ensure adherence to coding standards and best practices. Collaborate with DevOps to optimize infrastructure and ensure smooth deployment and monitoring of backend services. Troubleshoot and resolve backend-related issues, addressing performance bottlenecks, bugs, and other challenges as they arise. Contribute to the growth and mentorship of junior developers and potentially lead project teams. Required Skills/Abilities: Bachelor's degree in Computer Science, Software Engineering, or a related technical field. Minimum of 3 years of professional experience as a backend Python Developer in production environments. Solid understanding of Python deployment best practices, including dependency management, virtual environments, containerization, etc. Strong experience in designing and developing backend systems, API design, and microservice architectures. Familiarity with AWS services like EC2 and S3 and the ability to architect scalable Python solutions on the AWS platform is a plus. Solid knowledge of continuous integration and continuous deployment (CI/CD) practices and the ability to set up and manage automated deployment pipelines. Proven track record of delivering high-quality, production-grade software solutions in a fast moving team environment. Work with other teams (i.e., Product, PM, etc.) to ensure delivered code meets specifications based on functional/technical specifications. Create unit and integration tests to fully test and regress software. Break down complex requirements into independent coding tasks and strategies. Qualifications and Experience: Must be a Citizen or Green Card Holder and live in the United States B.S in Computer Science or equivalent experience 3+ years of professional experience as a backend Python Developer. Excellent problem-solving skills and the ability to tackle complex challenges. Prior experience in leadership or mentorship roles is a plus. Strong verbal and written communication skills. Openness to new ideas and an unceasing desire to learn new things. Preferred Qualifications: Previous experience working with ML teams or on ML-driven projects is a plus but not required. Experience with database systems such as PostgreSQL and MongoDB. Experience with orchestration tools such as Kubernetes is desirable. Experience with Atlassian tools: JIRA, Confluence, etc. Familiarity with AWS services like EC2 and S3 and the ability to architect scalable Python solutions. Why Join Us: Industry Leadership: Become a key player in a pioneering A.I. Telecommunications company that is an upcoming industry leader. Meaningful Impact: Contribute to the creation of accessible and flexible A.I. Telecommunications solutions that empower customers and businesses. Professional Growth: Embrace challenging projects that expand your skill set, foster continuous learning, and elevate your career trajectory. We eagerly anticipate the chance to discuss how your expertise can contribute to our team's success and make a lasting difference. Your consideration is highly valued, and we look forward to the possibility of working together. Job Type: Full-time Company DescriptionAI telecommunicationsAI telecommunications

Job DescriptionABM, a leading provider of integrated facility solutions, is looking for a Building Engineer. The Building Engineer supports the designated leadership with the daily operations of all building systems. This includes hard surface maintenance and repair, basic carpentry and metal work, operating, maintaining and repairing all facility system equipment associated with HVAC operations and mechanical and electrical systems. The Building Engineer will also respond to customer requests and submit and close work orders as necessary and perform other duties as assigned. Pay: $38/HR+ DOEThe pay listed is the hourly range or the hourly rate for this position. A specific offer will vary based on applicant’s experience, skills, abilities, geographic location, and alignment with market data. Benefit Information: ABM offers a comprehensive benefits package. For information about ABM’s benefits, visit ABM Employee Benefits \u007C Front Line Team MembersEssential Functions: • Follows safe practices and complies with company and regulatory standards, • Qualified to operate or assist in operating all heating and ventilating equipment, engines, turbines, motors, combustion engines, pumps, air compressors, ice and refrigerating machines, air conditioning units, fans and siphons on the site assigned, • Must be flexible and willing to complete all tasks as assigned, • You will be responsible for working with both internal and external customers on technical issues, work scope recommendations and failure investigations, • You could work in a variety of engineering departments based on current needs Responsibilities:, • Provides engineering support for a wide range of systems, maintenance programs, engines as well as operational engineering functions, • Must be able to understand, analyze and seek solutions to the design, operation, maintenance, performance or repair of vehicles/equipment and their components, • Should be able to logically approach problem solving, define a maintenance program or configuration and ensure a safe and legal operation, • Reviews Service Bulletins (SBs) from manufacture or component manufacture, • Develops solutions and implementation plans, project justification, cost/benefit analysis, and overall management of project implementation and coordinate warranty recovery on SBs that are applicable, • Organizes and manages the priorities for assigned responsibilities and accomplishes the work process to meet all deliverable for projects as well as maintenance program changes and technical specification revisions, • Coordinates work with other operational groups to ensure safety, regulatory compliance, operational reliability and operational efficiencyQualifications:, • Engineering skill sets which can be applied to a range of systems, maintenance programs and engines, • Must meet all requirements to receive approval for working in specific ATS environments (if applicable), including ten-year work history if available

Job DescriptionAircall is a unicorn AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, faster resolutions, and scale. We’re redefining what a customer communications platform can be—by combining voice, SMS, WhatsApp, and AI into one seamless workspace. Our momentum comes from a simple but powerful idea: help every customer-facing team work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call tasks, and AI Assist Pro delivers real-time guidance that helps people do their best work. The result—companies grow revenue, deliver faster resolutions, and scale service. We’ve built a product customers love and a business that scales fast. Aircall operates in nine global offices (Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, and Mexico City), and is backed by world-class investors. Our teams are shipping AI innovation faster than ever and expanding across new product lines and markets. At Aircall, you’ll join a company in motion—ambitious, profitable, and product-driven—where impact is visible, decisions are fast, and growth is real. How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right in As a Senior Infrastructure Engineer you'll be responsible for managing and operating our AWS Cloud Infrastructure, whilst working in deep collaboration with peers and business teams. Previous hands-on experience with AWS is a must.Key Responsibilities: • Deep hands-on knowledge of Cloud Infrastructure (AWS) across Compute (Containers & Serverless), Storage, Database and respective network and security concepts and a working knowledge of Infrastructure as Code solutions., • Deep understanding of DevOps practices and tools across CI/CD, Observability, Automation within the context of delivering high quality, resilient production applications., • Leads, with high-agency, the development of major, team-scoped, projects; drives initiatives from ideation to completion; takes responsibility for delivering outcomes., • Proactively communicates within and outside the team and collaborates effectively cross-functionally; escalates and removes blockers. Participates in team activities as support rotations, TDD discussions, etc., • Mentors and provides guidance to junior engineers, • Has good product knowledge of Cloud Infrastructure; proactively fills the gaps and clarifies requirements and suggests improvements based on product knowledge and technical insights., • Writes production-ready code, finding appropriate solutions for complex challenges; leads software design discussions; Participates in code-reviews and provides constructive feedback, • Writes good-quality documentation in order to solicit and receive the best feedback on proposals., • Ensures that the code delivered is fully tested, including edge cases, creating & maintaining excellent coverage through automated testing. Drives the performance and quality within their scope, • Implements and maintains high-quality logging, monitoring, alerting, and instrumentation. Participates in troubleshooting & resolving incidents, leads the incident management process, • Demonstrates a strong understanding of system infrastructure and DevOps principles; contributes to performance and quality within their scope; applies a security-first mindset, • Promotes engineering best practices across team’s scope., • Actively pursues improving engineering skills, including but not limited to problem solving, writing readable/testable/efficient code, mastering technology in our stack, and anticipating scaling issues., • Be highly productive - have a reputation for getting things done quickly and efficiently., • Requires very little oversight from team leads or managers, • Be able to communicate well with all engineers regardless of seniority, • Interviews prospective candidates and provides thoughtful evaluations and feedbackQualifications:, • 5+ years of experience operating AWS Infrastructure, • Monitoring & Observability with Datadog, • CI/CD: Gitlab, ArgoCD, • IaC: Terraform, Cloudformation (SAM), • AWS datastores : RDS Aurora MySQL & PostgreSQL, DynamoDB, Neptune, S3, Redshift

Job Description About Us Chips are at the center of today's tech-driven world. But how we design them has not changed in decades, while their complexity and specialization have skyrocketed due to increasing performance demands from applications like AI. We want to change that. Our team is small, technical, and fast-moving. We’ve built and shipped at the intersection of AI, EDA, and systems software, with deep roots at companies like Qualcomm, Nvidia, Google, Meta, and the Allen Institute for AI. We’re backed by top investors including Khosla Ventures, Cerberus, and Clear Ventures, and already deployed with 10+ innovative customers—from Fortune 100s to cutting-edge AI silicon startups. About This Role This role offers a unique opportunity to be part of the founding team at ChipStack, where we are reinventing how modern silicon chips are designed. You will work alongside highly experienced chip designers who have built complex chips, ML scientists who have trained LLMs at scale, and top-notch infrastructure and software engineers. You will get to leverage your experience building ML and data infrastructure and apply it to some of the hardest problems in chip design. About You You want to be at a startup because you love to be at the center of all the dynamism that a startup offers. You are willing to put in the hours and go the extra mile to ensure every customer has an exceptional experience. You are self-motivated with a sense of urgency and can operate independently without much guidance. You are not afraid of difficult problems and enjoy venturing into areas you have not explored before. This Role We’re looking for a strong, experienced ML Infrastructure Engineer to join our founding team. We are seeking someone with experience designing and scaling ML infrastructure and training pipelines. You’ll be responsible for building the core infrastructure that enables training, fine-tuning, evaluation, and deployment of LLMs across cloud and on-premise environments. Your work will directly impact product capabilities and speed of iteration. What's needed * 5+ years of experience in ML infrastructure or adjacent roles * Deep expertise in Python and experience with training frameworks like PyTorch or TensorFlow * Strong systems engineering skills and experience with distributed training, data pipelines, and performance optimization * Experience deploying ML models to production (REST APIs, batch jobs, streaming pipelines) * Proficiency with cloud platforms (e.g., GCP, AWS) and containerized systems (Docker, Kubernetes) * Experience managing GPU/TPU workloads efficiently * Good communication skills and the ability to work directly with engineers and customers * Prior experience training or fine-tuning LLMs * Experience setting up observability, monitoring, and evaluation pipelines for ML models What's good to have * Exposure to chip design fundamentals (via coursework or elsewhere) * Experience at an early-stage startup Our Culture Challenge status quo: We are innovators who can challenge the status quo and push forward our vision of the world. Strong opinions, loosely held: We are low on ego, but high on collaboration. We are okay to be wrong and are always open to learning. Ship fast, ship quality: We ruthlessly prioritize what matters. We build a few things, but at lightning speed with high quality. Proud of our craft: Attention to detail is in our DNA. We take pride in what we build and ensure they exceed the high standards of the semiconductor industry.

Job DescriptionRecordPoint is a data and information lifecycle management SaaS product designed to give highly-regulated organizations a competitive edge through safer, more secure, and better-managed data. We're a disruptor in our industry, set apart from competitors by our cutting edge technology and innovation-first mindset. Our global customer list includes top-tier brands and government agencies like the City of New York, Westpac, National Australia Bank (NAB), Australian Prudential Regulation Authority (APRA), Security Benefit, Cupertino Electric, Australian Securities & Investments Commission (ASIC), Transport for NSW, Ausgrid, Pacific Gas & Electric (PG&E), and Delaware Life. But there's more to us than the what we do — like the who behind it all. Team RecordPoint is made up of 100+ tech-driven professionals at the top of their respective fields. Together, we foster a supportive, collaborative and transparent environment, collectively working toward the singular goal of continuously doing better. While we've got all the perks you'd expect — think truly flexible work arrangements, generous paid parental leave, 4 weeks annual leave and Employee Share Options — you might find that the greatest benefit of all, is the team you join. Scope:As a Senior Software Engineer at RecordPoint, you are an experienced professional who uses their expertise and problem-solving skills to collaboratively develop new features and improve on existing components of our SaaS product. We work end-to-end being cognizant of the UI implications of what we build, as well as thinking about how it deploys into the real world and the impact on our customers. You will take the lead on certain initiatives within your scrum team, helping to research, scope, design and implement new approaches. You will bring your experience to bear by mentoring and coaching more junior team members. Your passion and curiosity will drive us to continue to innovate and push the status quo higher. You will be both an individual contributor and an exemplary teammate. You'll Do: • Drive large, complex projects autonomously, from technical design to launch, • Tackle complex architectural challenges, and apply architectural standards and start using them on new projects, • Lead code reviews & documentation as well as take on complex bug fixes, especially on high-risk problems, • Be an example for thorough, meaningful code reviews, • Partner across engineering teams to tackle company-wide initiatives spanning multiple projects, • Transfer your depth of knowledge from your current language to excel as a software engineer, • Mentor more junior team membersYou'll Bring:, • Exceptional problem solving and troubleshooting skills, • Extensive experience crafting and building software using the latest delivery techniques, • A real passion for quality, clean code, and continuous improvement, • A strong understanding of architectural concepts and cloud-based solution design, • Highly dedicated ethos. Take end-to-end of the work you're doing, • Demonstrable ability to motivate self and others, and a passion to mentor junior developers, • Ability to influence both technical and non-technical stakeholders, • A test-and-learn mindset with an emphasis on curiosity, collaboration, and careSome of the technologies and patterns we’re working on:, • .NET Core, .NET Framework, C#, Python, Angular 14+ and Typescript, • Distributed systems, microservices, machine learning, event streaming, • Continuous Delivery & DevOps, Docker, Kubernetes, Serverless, Azure Search, PostgreSQL, Cosmos DB, Terraform, Azure Service Fabric, Azure Service Bus, and Azure Event Hubs Why RecordPoint?, • Fast-growth Australian-owned company, • Flexible work environment and a strong focus on work-life harmony, • Innovation is our way of life, • Personal Development budget for all staff, • Access to Employee Stock Ownership Plan, • A brilliant graduate program that provides both mentoring and growth opportunities for all, • Work on a product that makes a real social-good impact on the world