Job Summary
We are seeking a Lead Agentic AI Engineer to build enterprise-grade AI agents capable of autonomous reasoning, planning, and execution using modern LLM frameworks. The candidate will architect scalable AI applications leveraging RAG, MCP, LangGraph, and cloud AI platforms.
Required Skills
- Strong hands-on experience with Agentic AI architectures.
- Expertise in LangGraph, LangChain, CrewAI, or AutoGen.
- Experience implementing MCP (Model Context Protocol).
- Strong knowledge of Retrieval-Augmented Generation (RAG).
- Experience with OpenAI GPT-4.x, Claude, Gemini, or Llama models.
- Strong Python programming experience.
- Experience with FastAPI, REST APIs, and Microservices.
- Knowledge of Vector Databases (Pinecone, Weaviate, Qdrant, Milvus).
- Experience deploying applications on Azure or AWS.
- CI/CD experience using GitHub Actions, Azure DevOps, or Jenkins.
Preferred Skills
- AI memory management.
- Multi-agent collaboration.
- Enterprise workflow automation.
- Kubernetes and Docker.
- AI Security & Guardrails.
Mandatory Skills
Agentic AI, LangGraph, CrewAI, MCP, RAG, Python, OpenAI, Claude, Gemini, Vector Databases, FastAPI, REST APIs, Azure/AWS.
Rate:
Not specified
Location:
Nashville
IR35 Status:
Not specified
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Not Specified