We are looking for a Python Engineer to contribute to the development of an enterprise AI Agent Platform being built from the ground up. The role will focus on implementing MCP-based tool integration capabilities, enabling AI agents to securely discover, connect to, and invoke external tools and services.
You will work primarily with Python, asynchronous communication, MCP server/client implementations, and agent tool integration patterns, helping establish a standardized tool ecosystem for multiple AI agents and enterprise use cases.
About the Client
Our client is a large global enterprise operating across multiple markets, with a complex technology landscape and a strong focus on digital transformation and innovation. The organization is actively investing in modern cloud, data, and AI capabilities to enable scalable, secure, and highly automated solutions across its business.
About the Project
The project is focused on building an enterprise-grade AI Agent Platform from the ground up. The platform will provide a standardized foundation for developing, deploying, orchestrating, securing, and observing AI agents across multiple teams and use cases.
The initiative covers the full agent lifecycle and brings together agent orchestration, observability, security, governance, integrations, evaluation, and platform engineering. Engineers joining the project will have an opportunity to influence key architectural and technical decisions and contribute to a new platform rather than maintaining an existing solution.
Skills:
• Model Context Protocol (MCP) — Streamable HTTP transport, tools/list, tools/call, capability negotiation
• Python async programming — MCP server/client implementation, async HTTP, streaming responses
• Agent tool integration patterns — function calling, tool schema definition, parameter validation
• MCP target types — Lambda functions as tools, remote MCP servers, OpenAPI-to-MCP translation
• Tool metadata management — schema registration, capability tagging, versioning
Experience:
• 4+ years Python engineering with agent/AI systems
• Built tool integrations for LLM agents (OpenAI functions, LangChain tools, or equivalent)
• Implemented async HTTP services and streaming protocols
• AWS Lambda development
Nice to have:
• MCP protocol implementation experience (server or client)
• LangChain / LangGraph tool integration
• AWS Bedrock AgentCore Gateway target registration
• Semantic tool indexing (embedding generation for tool descriptions)
• Agent framework integration (Strands, Crew, AutoGPT)
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.