Senior Python Engineer — MCP Protocol & Tool Integration
New
E
EPAMAI agent platforms
Opportunity to work remotely within PolandFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English B2
- Experience
- 5+ years of Python engineering experience with agent/AI systems
- Required Skills
- PythonAWS LambdaLangChain
Requirements
- Have 5+ years of Python engineering experience with agent/AI systems.
- Have hands-on experience implementing MCP servers or clients in a production agentic AI project.
- Have experience building tool integrations for LLM agents, such as OpenAI functions, LangChain tools, or equivalent.
- Be proficient in Python async programming, async HTTP services, and streaming protocols.
- Have expertise in AWS Lambda development.
- Understand agent tool integration patterns, including function calling, tool schema definition, and parameter validation.
- Familiarity with LangChain or LangGraph tool integration is a plus.
- Knowledge of AWS Bedrock AgentCore Gateway target registration is a plus.
- Experience with semantic tool indexing, including embedding generation for tool descriptions, is a plus.
- Experience integrating agent frameworks such as Strands, Crew, or AutoGPT is a plus.
Responsibilities
- 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, including 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.
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