backend developer for enterprise AI agents

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.

• 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.

• 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.

• Benefits supporting employee well-being and professional growth;
• Equal opportunity employer committed to equity, diversity, and inclusion.