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NEXTMOVEFDE careers · United States
Adelphi

Machine Learning Engineer

AI summary of the role

Forward-deployed ML engineer role embedded with defense/intelligence customers, building agentic full-stack systems on frontier models from prototype to production.

What you’ll do

  • Contribute to end-to-end delivery of agentic, full-stack systems from prototype to production, embedded alongside defense and intelligence customers.
  • Build and deploy ML services leveraging LLMs, embeddings, RAG, and agent orchestration into production environments, including classified and air-gapped ones.
  • Work directly with customers to understand problems, support delivery sequencing, and ship AI applications under real-world constraints.
  • Help codify repeatable patterns into reusable tools and building blocks that help the team ship faster.

What you’ll bring

  • Experience in the defense or intelligence fields is required.
  • Active U.S. Government clearance strongly preferred; open to clearance eligible candidates.
  • Use AI coding tools (Claude Code, Cursor, Copilot) daily and instinctively.
  • Working knowledge of modern agent frameworks and SDKs (LangGraph, OpenAI Agents SDK, Claude Agent SDK, AutoGen, or similar).

Technologies

LLM Ops · SecDevOps · LangGraph · OpenAI Agents SDK · Claude Agent SDK · AutoGen · MCP · RAG · Docker · Kubernetes · AWS · Linux

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