Build and deploy AI agents that automate and optimize complex workflows
Develop production-grade AI pipelines using Python and modern AI frameworks
Integrate LLMs, tools, APIs, retrieval systems, and external services into scalable agent architectures
Support testing, debugging, deployment, monitoring, and observability of AI systems
Develop secure, reliable, and ethical agentic workflows with built-in guardrails and evaluation strategies
Collaborate with AI scientists, engineers, and mission stakeholders to transition R&D into operational solutions
Evaluate AI systems for accuracy, performance, safety, and mission effectiveness
Contribute to research prototypes, technical publications, and conference presentations as applicable

Bachelor's degree with 6+ years of relevant experience
Experience with LLMs and agent frameworks such as LangChain, LangGraph, CrewAI, AutoGen, MCP, or A2A
Ability to design tool-using AI agents with API integration, RAG, and memory/context management
Experience with vector databases such as Pinecone, Weaviate, or FAISS
Strong Python development skills and experience building modular, production-ready AI systems
Experience with SDLC and DevSecOps practices
Experience deploying applications in containerized or virtualized environments (Docker, Kubernetes, VMware)
Strong communication skills and ability to work directly with end users and non-technical stakeholders
Self-starter with strong collaboration and problem-solving skills
US citizenship is required and able to obtain Secret clearance or higher.

Senior AI Engineer

Key skills