Python Developer

EPAM is a global provider of digital transformation services, product engineering, and digital solutions, operating across various industries to help enterprises innovate and scale through advanced technology.

• Build greenfield BMAD agents and custom workflows prioritised by Cost of Delay across identified use cases;
• Deploy and maintain hosted MCP servers within the cloud environment;
• Migrate team-level BMAD workflows from local execution (L2) to cloud-hosted agents (L3) by end of October;
• Implement SSO/auth integrations to connect agents securely within the client's identity infrastructure;
• Build integrations with 3rd-party services as required by CoD-prioritised use cases;
• Participate in code reviews, engineering design sessions, and internal demos throughout the engagement;
• Support evals setup and contribute to observability instrumentation for deployed agents;
• Work with AI Coaches to translate workflow designs into deployable agent implementations.

• 4+ Years of software development experience, with at least 1 year building LLM-powered or agentic applications;
• Proficiency in Python, with familiarity with JavaScript/TypeScript as a plus;
• Experience with cloud deployment using AWS Lambda, GCP Cloud Run, or Azure Functions (or equivalent);
• Hands-on experience with MCP server setup, tool use, and multi-agent orchestration;
• Understanding of SSO protocols such as OAuth 2.0, SAML, and OIDC, along with enterprise auth integration;
• Comfort working in fixed price, outcome-based engagements with evolving requirements and rapid iteration cycles;
• Strong written communication for async collaboration across time zones;
• English B2 level or higher;
• Nice to have: Background in BMAD framework or equivalent agentic workflow tooling, Familiarity with UCaaS, SaaS, or telephony integration APIs, Experience shipping agentic systems used by non-technical end users.

• No conditions specified