Agentic AI Machine Learning Engineer

Designing and building production-grade agentic AI systems for cyber and intel missions Developing reusable agent blueprints to scale agentic delivery across client environments Integrating LLMs and AI agents with APIs, cloud platforms, and databases Building MLOps pipelines and observation layers for stakeholder visibility Evaluating architectural tradeoffs and owning integrations end-to-end Contributing to counter-AI and defensive cyber use cases

3+ years building production ML solutions including LLMs, agents, or automation frameworks Hands-on experience with agent frameworks: LangChain, LangGraph, PydanticAI, or LlamaIndex Cloud experience in AWS, Azure, or GCP (AWS preferred) Docker and Kubernetes at the builder level, not user level TS/SCI clearance Bachelor’s degree