AI/ML Engineer — Generative AI Mission Systems

Four or more years working across AI/ML, large language models, retrieval-augmented generation, and prompt engineering.

Hands-on delivery of LLM-enabled software and RAG capabilities.

Practical knowledge of agentic AI, multi-step workflows, or similar orchestration approaches.

Familiarity with building or supporting inference pipelines.

A track record of moving AI capabilities beyond coursework, personal projects, or demonstrations into operational software.

Practical knowledge of evaluating AI outputs and addressing weak grounding, hallucinations, or unreliable responses.

Competitive compensation

Company-supported certifications aligned with current and future program work

401(k) with 100% company match up to 6%

Medical, dental, vision, life, and disability coverage

Paid time off and company holidays

Remote-work support and home-office equipment plan

Build and integrate LLM-enabled capabilities into secure application workflows.

Develop or integrate retrieval-augmented generation and agentic-AI components.

Design prompts, system instructions, and inference workflows that support real user and mission needs.

Connect AI capabilities with existing backend services and decision-support processes.

Evaluate outputs for grounding, reliability, accuracy, and usefulness.

Develop tests for AI-enabled functionality and support broader integration testing.