python developer for MCP tool integrations

The Enterprise Agent Development Platform is a cloud-native, production-grade ecosystem that helps engineering teams define, orchestrate, deploy, and monitor AI agents at scale. It uses LangGraph and Strands Agents on AWS AgentCore Runtime to standardize agent development, reduce development time from months to days, and maintain security, quality, and governance standards.

• Build MCP protocol servers that support Streamable HTTP transport, tools/list, tools/call, and capability negotiation;
• Create MCP server and client components using Python async programming, async HTTP, and streaming responses;
• Develop agent tool integrations using function calling, tool schema definitions, and parameter validation patterns;
• Set up MCP target types, including Lambda functions as tools, remote MCP servers, and OpenAPI-to-MCP translation;
• Manage tool metadata, including schema registration, capability tagging, and versioning;
• Register targets in AWS AgentCore Gateway to enable agent tool discovery;
• Convert existing APIs into MCP-compliant tool interfaces;
• Work with engineering teams to establish consistent tool integration patterns across the platform.

• 5+ Years of Python engineering experience working with agent/AI systems;
• Practical experience implementing MCP servers or clients in a production agentic AI setting, such as handling tools/list and tools/call, registering targets with AWS AgentCore Gateway, or performing Lambda-as-tool / OpenAPI-to-MCP translation;
• A portfolio of tool integrations developed for LLM agents, such as OpenAI functions, LangChain tools, or similar;
• Proficiency in building async HTTP services and streaming protocols;
• Strong expertise in AWS Lambda development;
• English proficiency at B2 level or above;
• Nice to have: Prior experience implementing the MCP protocol on the server or client side, familiarity with LangChain / LangGraph tool integration, experience with AWS Bedrock AgentCore Gateway target registration, understanding of semantic tool indexing including generating embeddings for tool descriptions, exposure to agent framework integrations such as Strands, Crew, or AutoGPT.

• Remote work from Ukraine.