Lead Python Backend Engineer

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Description

We are looking for a Lead Python Backend Engineer to join our team building an Enterprise Agent Development Platform — a production-grade, cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale. The platform standardizes agent development across the organization using LangGraph and Strands Agents on AWS AgentCore Runtime. The initiative spans agent framework design, runtime architecture, marketplace integration, CI/CD automation, and enterprise-grade observability — reducing agent development from months to days while enforcing consistent security, quality, and governance standards. Responsibilities 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 Requirements 7+ years of backend engineering experience with AI/ML systems Hands-on experience integrating agent memory in a production

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