Lead Python Backend Engineer

• 7+ years of backend engineering experience with AI/ML systems
• Hands-on experience integrating agent memory in a production agentic AI project, such as AWS AgentCore Memory API (write-on-turn/retrieve-on-turn), memory namespace design, or agent template memory configuration
• Expertise in Python SDK development
• Skills in API integration for stateful services
• Proficiency in session management and context persistence
• English proficiency at B2 level or higher

Nice to have:

• Familiarity with AWS AgentCore Memory SDK usage
• Knowledge of LangChain memory integration
• Background in agent framework development (LangGraph, Crew)
• Understanding of conversational AI context handling

• Integrate AgentCore Memory into platform agent templates and helper libraries
• Implement write-on-turn functionality to store session events
• Implement retrieve-on-turn functionality to fetch relevant context
• Design and build memory namespace architecture for per-agent isolation and per-user scoping
• Develop Python helper libraries to support memory-enabled agents across the platform
• Enable memory activation through configuration rather than custom code in agent templates
• Work with AWS AgentCore Memory API to create, query, update, and delete memory records
• Build and maintain API integrations for stateful services
• Manage session persistence and context continuity across agent interactions

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.