onsite
Senior AI Software Engineer - MCP & Agentic Systems - Wells Fargo
Software Engineer
Lead the design and implementation of Model Context Protocol (MCP) infrastructure, building robust, secure, and scalable servers and clients that enable intelligent, tool‑using agents for real‑world AI applications.
About the role
Key Responsibilities
- Design, develop, and maintain MCP servers using FastMCP, ensuring high performance and reliability.
- Implement MCP clients that seamlessly integrate with LLM‑based applications and agent frameworks.
- Collaborate with AI developers and product teams to define architecture, security, and scalability requirements.
- Optimize context sharing mechanisms between models and tools to enhance agent intelligence.
- Conduct code reviews, performance testing, and continuous integration for production readiness.
Requirements
- Proven experience in Python and building high‑throughput server applications.
- Strong understanding of LLMs, agentic AI concepts, and Model Context Protocol design.
- Hands‑on experience with FastMCP or similar protocol frameworks.
- Knowledge of secure, scalable system architecture and best practices.
- Excellent problem‑solving skills and ability to work cross‑functionally.