AI/Agentic Engineer
Core
Design, build, and operationalize AI agents and multi-agent workflows within secure government enterprise environments to create mission-relevant capabilities.
Role type
Senior hands-on IC AI Agentic Engineer
Builds
Secure, repeatable agentic workflows integrated with enterprise applications, APIs, and mission systems
Domain
Defense / Government / Generative AI / Agentic Systems
Deliverable
production ML models
Required skills
Python, LLMs, agent frameworks, RAG, vector databases, tool/function calling, CI/CD, Kubernetes/OpenShift, software engineering fundamentals
Preferred skills
MCP, multi-agent orchestration, NVIDIA NIM/NeMo, Red Hat OpenShift AI, agent evaluation frameworks, AI guardrails, LangGraph/LangChain, disconnected/air-gapped environments, GPU inference optimization
Technologies
Python, Kubernetes, OpenShift, LangChain, LangGraph, LlamaIndex, Semantic Kernel, NVIDIA NIM, NeMo, GitLab, Jira, Confluence
Responsibilities
Design and integrate AI agents with enterprise data and tools; Develop evaluation frameworks for agent accuracy and safety; Implement guardrails and policy controls; Collaborate on CI/CD and DevSecOps integration; Troubleshoot infrastructure and model issues; Document architectures and operational procedures
Seniority
Senior, hands-on IC