Senior Python Engineer — MCP Protocol & Tool Integration

• 5+ years of Python engineering experience with agent/AI systems
• Hands-on experience implementing MCP (Model Context Protocol) servers or clients in a production agentic AI project, including tools/list and tools/call handling, AWS AgentCore Gateway target registration, or Lambda-as-tool / OpenAPI-to-MCP translation
• Experience building tool integrations for LLM agents, such as OpenAI functions or LangChain tools
• Proficiency in Python async programming, async HTTP services, and streaming protocols
• Expertise in AWS Lambda development
• Understanding of agent tool integration patterns, including function calling, tool schema definition, and parameter validation

Nice to have:

• Familiarity with MCP protocol implementation (server or client)
• Knowledge of LangChain / LangGraph tool integration
• Background in AWS Bedrock AgentCore Gateway target registration
• Skills in semantic tool indexing, including embedding generation for tool descriptions
• Experience with agent framework integration (Strands, Crew, AutoGPT)

• Implement MCP protocol servers and clients, including tools/list and tools/call handling
• Design and maintain agent tool integrations using function calling, tool schema definition, and parameter validation
• Build and register MCP target types such as Lambda functions as tools, remote MCP servers, and OpenAPI-to-MCP translation
• Develop async HTTP services and streaming responses for MCP server/client communication
• Manage tool metadata, including schema registration, capability tagging, and versioning
• Handle capability negotiation and Streamable HTTP transport within the MCP protocol
• Collaborate with engineering teams to standardize agent tool integration patterns across the platform
• Support AWS AgentCore Gateway target registration for agent tool connectivity