Member of Technical Staff, Forward Deployed (US Gov)

About this role

We’re hiring an MTS to work on applied AI systems across research and production. This role spans model experimentation, infrastructure, and deployment in high-assurance, mission-critical environments, including forward-deployed work with strategic partners.

Skills

Key responsibilities

• Build and maintain data pipelines for model training, evaluation, and research workflows.
• Design and run RL environments for experimentation and training.
• Develop and scale model inference systems.
• Implement and maintain SDKs and integrations across frontier AI platforms.
• Build agentic systems (multi-agent, tools, RAG) using modern LLM stacks.
• Take systems from prototype → production, with reliability and security in mind.
• Work directly with partners in forward-deployed settings on sensitive, high-impact use cases.

Required skills & qualifications

• Strong Python engineer with end-to-end ownership experience.
• Experience with LLMs / agentic systems (LangChain, LangGraph, or similar).
• Built or maintained data pipelines / ML infrastructure.
• Familiar with RL workflows or simulation environments.
• Experience with distributed systems or inference scaling.
• Comfortable in high-security / high-reliability environments.
• Able to operate independently in ambiguous, partner-facing contexts.

Preferred qualifications

• Experience in regulated or mission-critical domains.
• Familiarity with Vertex AI, Bedrock, or similar platforms.
• Background in security, infra, or high-reliability systems.