Python Developer

EPAM develops an enterprise Agentic AI platform that utilizes autonomous AI agents to optimize engineering and delivery workflows. The platform integrates with various enterprise tools through Model Context Protocol (MCP) services, facilitating interaction between AI agents and systems such as Jira, GitHub, CI/CD pipelines, and documentation platforms.

• Develop Model Context Protocol (MCP) services to enable agent interactions;
• Implement integrations with enterprise platforms such as Jira/Xray, GitHub, CI/CD systems, and documentation tools;
• Design AI-safe APIs and tool interfaces to ensure secure AI-agent interaction;
• Build scalable, reliable Python-based microservices supporting enterprise workflows;
• Ensure high performance and fault tolerance for MCP services;
• Participate in architectural discussions and influence platform design decisions.

• 5+ Years of software engineering experience;
• Strong proficiency in Python for backend development;
• Proven experience in building APIs and microservices;
• Experience integrating enterprise platforms like Jira and GitHub;
• Familiarity with cloud environments and deployment processes;
• Understanding of AI/LLM ecosystems and related technologies;
• Nice to have: Experience with developer productivity or DevOps platforms, hands-on experience building automation for SDLC workflows, prior exposure to LLM APIs and prompt-based automation.

• Relocation support is available.