Senior AI/ML Engineer role designing and integrating LLM/agent workflows for an enterprise AI platform serving national defense missions—ideal for experienced AI engineers who want to move cutting-edge prototypes into production-grade, governed systems.
What you'll do
- Design and integrate LLM/agent orchestration workflows using frameworks such as LangGraph, Agno, and NVIDIA NeMo Agent Toolkit
- Develop and integrate RAG pipelines, vector databases, and memory services to provide agents access to mission knowledge and context
- Implement MCP-based tool-broker integrations enabling agents to safely access enterprise tools and data
- Tune model gateway routing logic to select, evaluate, and optimize multiple frontier and open-weight models for cost, performance, and mission fit
- Build automated evaluation pipelines and implement AI governance guardrails (content filters, policy enforcement, approval gates) for agentic workflows
- Provide embedded operations support, capability integration, and rapid prototyping for AI/ML-enabled tools in mission environments
- Partner with data scientists and mission analysts to translate research prototypes into production-grade AI capabilities
Mission
Agile Defense is building an AI Enterprise capability—a centralized hub for mission teams to transition AI solutions from prototype to secure, governed, enterprise-scale service. This role directly supports that capability's development and integration across national defense operations.
Required skills
- Python for AI/ML application development
- LLM and agent-based systems production deployment
- Retrieval-augmented generation (RAG)
- Vector databases
- Prompt engineering and context engineering
- Model evaluation and benchmarking
- AI governance and safety guardrails
- Mission-critical systems integration