Lead end-to-end development of advanced AI solutions including agentic systems, RAG pipelines, and multi-agent workflows.
Architect AI infrastructure with guardrails, access controls, and compliance protocols for ethical deployment.
Guide multi-disciplinary teams, setting technical playbook and best practices.
Nava is a consultancy and public benefit corporation that makes government services simple and effective. Since 2015, federal, state, and local agencies have trusted Nava to solve technology modernization challenges, and they maintain a collaborative, remote-friendly team environment.
Design, develop, and maintain LLM-powered applications and autonomous agents using Python and frameworks like LangGraph.
Build agentic workflows, implement prompt engineering strategies, and integrate LLM models across providers.
Develop observability tools, MCP Server components, and deploy cloud-native solutions on AWS.
NBCUniversal is one of the world's leading media and entertainment companies, creating and distributing content across film, television, and streaming, and operating theme parks. As a subsidiary of Comcast Corporation, the company champions an inclusive culture and strives to develop a talented workforce to serve communities.
Design and deliver production AI and agentic systems across document intelligence, workflow automation, and copilots.
Own architecture decisions for LLM-based systems, including retrieval, tool use, orchestration, memory, and evaluation.
Manage evals and observability for production AI, ensuring system accuracy and detecting regressions.
Maxwell is a mortgage technology and fulfillment company on a mission to make lending simpler, faster, and more accessible. It is a remote-first team that takes craft seriously and moves with intention, building a cutting-edge AI company in mortgage technology.
Design and implement solutions in Python using AWS cloud computing capabilities, including developing AI and LLM-based workflows.
Operate in a collaborative, agile environment with a focus on enabling team success and creating proofs-of-concept and production solutions.
Engage with peers to ensure maintainable solutions and share knowledge across the company.
Two Six Technologies builds, deploys, and implements innovative products that solve complex challenges for US government and Fortune 50 clients. The company fosters a culture of collaboration and trust, empowering its team to push boundaries and support customers in building a safer global future.
Build AI platform and production systems supporting computer vision, perception, simulation, and mapping products.
Own critical parts of the AI platform, including orchestration, APIs, and deployment patterns.
Partner with data scientists and simulation engineers to reduce iteration friction and design production architecture.
HERE Technologies is a location data and technology platform company that empowers customers to achieve better outcomes. The company is an equal opportunity employer with a focus on innovation and inclusion.
Work directly with customers to understand their workflows and operational constraints.
Build and deploy AI-enabled applications, agents, and workflow automation using LLM techniques.
Own delivery from prototype to production, including architecture, backend services, and integrations.
Trase Systems provides an end-to-end platform for deploying and optimizing AI in the enterprise, focusing on bridging the 'last mile' of AI adoption. As a startup founded in 2023, the team is small, agile, and collaborative, with a strong emphasis on innovation and direct customer impact.
Design and build the company's AI-first platform architecture.
Develop agent-based systems, orchestration layers, and inference pipelines.
Build scalable data ingestion, transformation, and feature engineering pipelines.
Our client is an early-stage healthcare AI company leveraging AI, data science, and clinical expertise to generate actionable insights from health data. The small team works alongside experienced founders and world-class advisors, building an AI-native platform from scratch.
Design, build, and deploy production ML and LLM-based systems (RAG, agentic workflows, fine-tuning, embeddings) for enterprise clients.
Own technical delivery end-to-end: from architecture and prototyping to deployment, monitoring, and iteration.
Mentor and support other ML engineers on the team with code reviews, technical guidance, and knowledge sharing.
TensorOps is a boutique AI consultancy that bridges strategy and execution, designing and shipping production-grade AI systems for enterprise clients. We are a 100% remote team of 11+ people, partnering with unicorns and NASDAQ-listed companies, and have a culture of autonomy, open communication, and continuous learning.
Set technical direction across multiple services and teams as a senior individual contributor.
Define AI platform patterns including agent orchestration, tooling, governance hooks, and evaluation surfaces.
Stay hands-on, designing and building production systems in Python across the AI stack.
Mitratech builds world-class products that simplify operations in Legal, Risk, Compliance, and HR functions. Serving 20,000 client companies globally, including 30% of the Fortune 500, the company fosters a diverse, inclusive culture that blends entrepreneurial spirit with enterprise investment.
Own end-to-end delivery quality for major engagements, translating ambiguous client needs into practical execution plans.
Lead solution architecture and technical decision-making, making pragmatic tradeoffs between speed, quality, and client value.
Build and ship production AI/ML systems using Python, ML frameworks, and cloud-native infrastructure while mentoring other engineers.
Eliza is a technology services company and Advanced-tier OpenAI partner that helps organizations build and deploy AI solutions, from generative AI to predictive analytics. They are a collaborative, mission-driven team focused on real-world AI impact.
Lead the design and delivery of complex enterprise-grade generative and agentic AI systems on AWS using services like Amazon Bedrock and SageMaker.
Architect scalable, secure, and production-ready AI platforms aligned with the AWS Well-Architected Framework.
Mentor engineers and collaborate with cross-functional teams to drive AWS AI practice evolution.
Robots & Pencils builds smart systems for a human world, blending creativity, engineering, and AWS-powered AI to help organizations reimagine how they work. They are a team of engineers and creatives with a culture of innovation and craftsmanship, focused on delivering enterprise-scale solutions.
Own features and systems end-to-end for the Corporate Insight Agent, from requirements gathering through deployment and iteration.
Collaborate with Corporate Product Management and business stakeholders to identify opportunities and revamp critical business processes.
Balance rapid prototyping with long-term engineering rigor, building lightweight POCs and scalable production systems.
YipitData is the leading market research and analytics firm for the disruptive economy, analyzing billions of alternative data points to uncover insights for top investment funds and Fortune 500 companies. With a valuation over $1B and a people-centric culture recognized by Inc. as a Best Workplace for three consecutive years, the firm emphasizes transparency, ownership, and continuous mastery.
Lead strategic Professional Services engagements, guiding customers through AI-powered software delivery and feature management implementations.
Partner with customers to design and implement safe rollout patterns for AI, including progressive exposure and experimentation directly in their codebase.
Act as a trusted advisor, building reference implementations and integrating LaunchDarkly into AI architectures to ensure safe, observed, and optimized releases.
LaunchDarkly provides a feature management platform that enables developers to release software safely and efficiently. The company is rapidly growing, with a culture that values humility, collaboration, and respect.
Design, build, and ship production-grade AI agent features (PM Agent, Execution Agent, External Onboarding Agent) that automate real implementation work.
Lead design partner engagements to develop custom agent workflows, iterating based on customer feedback to productize reusable components.
Contribute to the MCP server and platform layer, ensuring reliable retrieval, evals, and tool integrations across the full AI stack.
TaskRay is the leader in post-sale work management in the Salesforce ecosystem, helping companies ensure flawless customer experiences post-sale. The company has a culture centered on Connection, Integrity, Hunger, and Thrive, with a small team that values high performance and innovation.
Contribute to the design and evolution of Expression's Agentic AI platform, defining scalable architectures for enterprise AI applications and services.
Architect, deliver, and optimize production-grade LLM services, agent workflows, orchestration layers, and retrieval pipelines.
Provide technical leadership and mentorship, guide architecture reviews, and raise the bar for engineering quality across the team.
Expression provides data fusion, analytics, software engineering, and spectrum management solutions to the US DoD and national security community. Founded in 1997 and headquartered in Washington DC, they have a "Perpetual Innovation" culture and were ranked #1 on Washington Technology's Fast 50 in 2018.
Design, build, and operate AI systems that solve real business problems across Finom, from prototype to production.
Own AI systems end-to-end including problem framing, architecture, implementation, evaluation, deployment, monitoring, and iteration.
Partner with solution managers, domain teams, and engineers to integrate AI into real workflows and deliver production-grade AI capabilities.
Finom is a European tech startup developing an all-in-one financial B2B solution integrating banking, accounting, and invoicing. With over $346 million in total funding, they are expanding across key EU markets and maintain a start-up culture focused on innovation and employee empowerment.
Lead end-to-end AI project delivery, ensuring governance, stakeholder communication, and reliable execution.
Design and build robust RAG systems, agentic frameworks, and LLM-powered solutions for production environments.
Mentor junior engineers and contribute to proposals, solution design, and new business initiatives.
Blend is a premier AI services provider that co-creates meaningful impact for clients through data science, AI, technology, and people. With a mission to fuel bold visions, the company aligns human expertise with artificial intelligence, fostering innovation and value for its clients.
Design, build, and maintain production-grade Generative AI, Agentic AI, and machine learning applications.
Develop evaluation and testing approaches to measure model performance and improve solution quality.
Partner with Engineering, Product, Data, and Operations teams to integrate AI capabilities into client’s systems.
We are an end-to-end AI transformation partner guiding enterprises from complex challenges to clear outcomes. We are a convergence of successful firms dedicated to fostering a culture of innovation and professional growth.
Lead design, development, and deployment of AI-powered software solutions as a trusted advisor to customers.
Translate complex customer needs into scalable solutions using LLMs, RAG, and modern engineering practices.
Mentor engineering teams, drive technical strategy, and contribute to proposals and demonstrations.
LTS is a technology company delivering AI-powered software solutions for complex business and mission challenges. They prioritize innovation, growth, collaboration, and quality, offering a comprehensive benefits package.
Partner with enterprise clients to understand challenges and design robust technical solutions, from APIs to AI workflows.
Own production deployments ensuring reliability, observability, and continuous improvement of delivered systems.
Build AI-enabled systems using LLMs and agentic workflows while collaborating across Product, Engineering, and Sales teams.
Our partner is a company focused on deploying AI and enterprise integrations at scale. They operate in a remote-first, high-trust environment with a focus on practical AI deployment.