Agentic AI MCP Engineer
Overview
You will design, develop, and deploy intelligent AI agents using MCP architecture at enterprise scale. You will build and manage MCP servers, integrate with LLMs, and implement RAG patterns across vector databases. Your work will drive AI orchestration and enterprise integrations in a contract role. This position stands out for its focus on Agentic AI and Model Context Protocol.
What You'll Do7
- 1Design and deploy Agentic AI solutions that leverage MCP architecture from day one.
- 2Build and manage MCP servers for seamless enterprise integrations.
- 3Integrate LLMs and RAG pipelines with vector databases to power AI agents.
- 4Drive AI orchestration frameworks to coordinate multi-agent workflows.
- 5Implement MCP tools and resources to expose business capabilities.
- 6Debug and refine agent behaviors using Python and MCP protocols.
- 7Collaborate with cross-functional teams to connect MCP to enterprise systems.
Requirements7
- 15+ years building AI solutions with Generative AI and Agentic AI.
- 23+ years working with MCP architecture and server implementation.
- 35+ years developing in Python.
- 4Hands-on experience with ORCHESTRATION frameworks (e.g., LangChain, CrewAI).
- 5Deep knowledge of LLMs and RAG patterns.
- 6Proficient with vector databases like Pinecone, Weaviate, or Milvus.
- 7Experience integrating MCP with enterprise systems (e.g., Salesforce, SAP).
Salary Insight
Salary not disclosed in listing
Location
Required Skills
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