Senior Python / LangGraph Engineer

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and startups. They have over thirty years of expertise in custom software, product and platform engineering, enabling clients to become AI-native enterprises. The role involves working on an Enterprise Agent Development Platform, a cloud-native ecosystem for defining, orchestrating, deploying, and observing AI agents at scale, using LangGraph and Strands Agents on AWS AgentCore Runtime.

• 5+ years of experience in Python development
• Expertise in LangGraph or LangChain agent orchestration
• Proficiency in async Python (asyncio)
• Skills in Python-based LangGraph node, edge, and graph construction
• Familiarity with checkpointing approaches using SQLite, Redis, and PostgreSQL checkpointers
• Background in human-in-the-loop (HITL) workflow implementation
• Knowledge of retry, timeout, and fallback patterns in LangGraph
• Understanding of OpenTelemetry tracing across orchestration steps

Nice to have:

• Familiarity with AWS Bedrock integration
• Skills in multi-agent workflow testing
• Knowledge of LangSmith trace visualization

• Design and implement Python-based LangGraph nodes, edges, and graphs for agent orchestration delivery
• Build checkpointing mechanisms using SQLite, Redis, and PostgreSQL checkpointers within LangGraph
• Develop human-in-the-loop (HITL) workflows to support controlled agent decision points
• Implement retry, timeout, and fallback patterns to ensure reliable orchestration behavior
• Integrate OpenTelemetry tracing across orchestration steps for full pipeline observability
• Collaborate with the Development framework team to standardize LangGraph orchestration practices
• Contribute to the reliability and scalability of agent workflows deployed on AWS AgentCore Runtime
• Support the evolution of the platform's single-file developer experience for agent builders

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