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.