Senior ML Engineer
AI summary of the role
Forward-deployed Senior ML Engineer role at a seed-stage national security AI company, owning end-to-end delivery of agentic full-stack systems on frontier models for defense and intelligence customers.
What you’ll do
- Own end-to-end delivery of agentic, full-stack systems from first prototype to stable production, embedded with defense and intelligence customers.
- Build and deploy ML services leveraging LLMs, embeddings, RAG, and agent orchestration into production, including classified and air-gapped environments.
- Work directly with customers to scope problems, sequence delivery, and ship novel AI applications under real-world constraints.
- Codify repeatable patterns into reusable tools and building blocks to accelerate team delivery.
What you’ll bring
- Experience in defense or intelligence fields required.
- Hands-on with modern agent frameworks and SDKs (LangGraph, OpenAI Agents SDK, Claude Agent SDK, AutoGen, or similar) and agent evaluation/observability tooling.
- Familiarity with MCP or similar LLM integration frameworks.
- Proficiency in AI coding tools (Claude Code, Cursor, Copilot) and prompt-engineering across the development lifecycle.
Technologies
LLM · LangGraph · OpenAI Agents SDK · Claude Agent SDK · AutoGen · MCP · RAG · Docker · Kubernetes · AWS
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