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.
You will build AI-assisted tools, workflow automations, agents, prompts, and integrations to reduce manual effort and improve productivity.
You will partner with business stakeholders to understand high-friction workflows and deliver fit-for-purpose AI solutions.
You will implement engineering controls for data handling, access management, prompt safety, and output validation.
Shield AI is a venture-backed defense-tech company that develops intelligent systems, including Hivemind autonomy software and V-BAT and X-BAT aircraft, to protect service members and civilians. With offices across the U.S., Europe, the Middle East, and Asia-Pacific, the company's technology supports operations worldwide.
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 build production-ready AI agents that allow users to query enterprise data using natural language.
Develop Text-to-SQL pipelines using LLMs, ensuring generated queries are accurate, secure, and performant.
Collaborate with cross-functional teams to integrate AI into scalable platforms and improve accuracy through testing.
This role is listed on behalf of a partner company, which manages all applications and next steps. The company uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
Build internal agentic workflows end-to-end on OpenRouter, from prototype to production, automating support and GTM operations.
Integrate our systems with the tools the company runs on, and steadily replace those tools where it makes sense.
Own the reliability of what you ship: evals, guardrails, and monitoring, so automation is trustworthy rather than flashy.
OpenRouter is an AI routing and infrastructure layer that provides a unified API for AI builders and enterprises to access and manage AI usage. They are a small team where every person has direct impact on product and users.
Build and maintain MCP servers, tool definitions, and context management capabilities.
Design and implement intent evaluation, classification, and routing workflows.
Integrate Anthropic and OpenAI models into production environments.
Applaudo designs, builds, and scales AI-powered solutions that create real business impact. They foster a high-performance culture grounded in values such as empowerment, collaboration, and transparency.
Design and build agentic AI systems to automate complex workflows across ICON's software platform.
Develop LLM-powered features using state-of-the-art foundation models and APIs.
Architect multi-agent pipelines, tool-use systems, and MCP integrations.
ICON is a construction technology company that develops advanced 3D printing and robotic systems for building homes and structures. The company fosters an innovative, inclusive, and diverse work environment with a focus on pushing the boundaries of construction technology.
Set technical direction for complex GenAI and agentic systems, building them hands-on and raising the bar for production-ready AI.
Own the hardest problems in AI portfolio, from agentic platforms at scale to AI in regulated, high-stakes environments.
Partner directly with client leadership to translate business strategy into AI architecture and shape solutions in pre-sales.
Egen is a fast-growing and entrepreneurial company with a data-first mindset, helping clients drive action and impact through data and insights using advanced technology platforms like Google Cloud and Salesforce. We are committed to being a place where the best people choose to work, dedicated to learning, thriving on solving tough problems, and continually innovating to achieve fast, effective results.
Design and build multi-agent AI systems capable of autonomous planning and execution.
Integrate AI coding agents into the SDLC to automate code generation, refactoring, and reviews.
Develop agentic workflows for automated incident triage, root-cause analysis, and patch recommendations.
Actian is a global leader in hybrid data management and high-performance cloud warehousing. They are an innovative, fast-growing company with a passionate and diverse team.
Design and implement multi-agent workflows, including task decomposition, state management, and tool-use.
Implement rigorous evaluation frameworks to measure and improve agent performance at scale.
Develop reusable agents and prompt libraries serving 1,000+ brands with unique voices simultaneously.
Pencil builds the agentic OS for marketing, creating complex multi-agent architectures for brand-safe, scalable generative AI. They are a growing tech company with a distributed team, valuing innovation and flexibility.
Own design and implementation of agent harness layer for autonomous app generation.
Develop long-horizon agentic workflows with maximal autonomy and robust evaluation loops.
Research novel AI approaches and ship them to production with strong observability and debugging.
Sekai is building an AI-driven consumer platform for creating, remixing, and sharing interactive mini apps. The company is Series A, backed by Khosla, a16z, Mayfield, and A*, with $30M raised and a remote-first culture.
Architect and build end-to-end GenAI applications using Python, LangChain, and LlamaIndex on Google Cloud.
Develop advanced RAG pipelines and Semantic Search systems for production-level accuracy.
Optimize LLM and Embedding fine-tuning while applying MLOps best practices for scalability.
Egen is a fast-growing and entrepreneurial company with a data-first mindset, using advanced technology platforms like Google Cloud and Salesforce to drive client impact through data and insights. We are dedicated to learning and innovation, with a culture that values engineering expertise and solving tough problems.
Research and develop a platform utilizing cutting-edge AI agents for generative AI and machine learning solutions.
Design, implement, and optimize end-to-end machine learning pipelines, including LLMs, prompt engineering, and agentic AI.
Collaborate with cross-functional teams to deliver enterprise-grade AI architectures in financial, healthcare, or insurance industries.
The company operates in the technology, information, and media sector, focusing on software development. It is a mid-sized organization with a remote-first culture, seeking a Senior GenAI/Agentic AI Engineer to develop cutting-edge AI agents.
Design and maintain LLM-powered backend services using Python and FastAPI.
Implement retrieval-augmented generation (RAG) for structured and unstructured fleet data.
Optimize retrieval accuracy, latency, and hallucination rates through automated evaluation pipelines.
Datakrew revolutionizes EV fleet intelligence with IoT and AI solutions. They aim to serve one million EVs within 5 years and cultivate a mission-driven culture.
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.
Design and own the agent orchestration model, tool-use architecture, and human-in-the-loop protocol for a complex transaction workflow.
Ensure the system is secure, auditable, and extensible, with a sandbox data model and zero-retention policy.
Validate technical feasibility stage by stage and lead cross-functional teams through build phases.
Future Works is a US-focused, AI-native professional services firm that builds operational AI and data systems. They are a team of "Time Benders" on a mission to collapse timelines to operational transformation for high-footprint companies in energy, real estate, and data.
Design and build the agent execution harness, owning the orchestration layer that routes inputs, manages context, and handles multi-step agentic workflows at scale.
Ensure reliability, observability, and fault tolerance in production AI systems while optimizing for latency and cost.
Lead eval engineering and prompt infrastructure to maintain agent quality and drive data-informed decisions across model updates.
ServiceNow is an AI platform company that automates workflows and helps businesses reinvent themselves through its AI control tower. It serves 85% of the Fortune 500 and fosters an AI-native culture focused on innovation and talent.
Develop and operate production-ready AI and machine learning systems for enterprise-scale products.
Build and optimize LLM-powered applications, RAG pipelines, and intelligent agents.
Implement software engineering best practices for AI development including CI/CD and testing.
Our partner is building enterprise-grade AI solutions that deliver measurable business impact. They offer a remote-friendly work environment with a collaborative engineering culture focused on innovation, quality, and continuous learning.
Lead technical execution of complex AI initiatives, designing and delivering ML and LLM systems for patient and provider-facing products.
Own problems end-to-end: scope with clinicians, build datasets, iterate on modeling, and ship to production with monitoring and guardrails.
Develop robust evaluation frameworks including offline benchmarks, human-in-the-loop review, and online experiments to ensure model safety and accuracy.
Curai harnesses artificial intelligence and clinical expertise to make healthcare more affordable and accessible for everyone. They are a small, senior team committed to rigorous research, clinical integrity, and improving health outcomes.