Описание
The client is a large global enterprise investing in cloud, data, and AI capabilities to enable scalable, secure, and highly automated solutions. The project provides an enterprise-grade AI Agent Platform for developing, deploying, orchestrating, securing, and observing AI agents across teams and use cases.
Задачи
•Implement agent memory integration patterns, including write-on-turn storage of session events and retrieve-on-turn access to relevant context
•Integrate with AWS AgentCore Memory APIs for creating, querying, updating, and deleting agent memory
•Design memory namespaces and isolation patterns, including per-agent separation and per-user scoping
•Develop reusable Python SDKs and helper libraries that simplify memory integration for agent developers
•Integrate memory capabilities into standard agent templates, enabling memory through configuration rather than custom application code
•Implement reliable session management and context persistence across agent interactions
•Build and maintain integrations with stateful backend services supporting agent memory
•Ensure memory functionality can be consistently reused across different agents and applications within the platform
Требования
•4+ Years of backend engineering experience with AI/ML systems
•Experience with API integration for stateful services
•Experience with session management and context persistence
•Experience with Python SDK development
Nice to have: AWS AgentCore Memory SDK usage, LangChain memory integration, agent framework development (LangGraph, Crew), conversational AI context handling.
Условия
•Benefits supporting employee well-being and professional growth
•Equal opportunity employer committed to equity, diversity, and inclusion
