python developer for AI agent platforms

The project provides a platform for memory-enabled agents with write-on-turn and retrieve-on-turn workflows, integrating AWS AgentCore Memory API and agent templates to enable memory without custom code.

• Develop Python helpers for memory-enabled agents;
• Integrate write-on-turn session event storage and retrieve-on-turn context fetching;
• Implement memory lifecycle operations using the AWS AgentCore Memory API, including create, query, update, and delete;
• Design memory namespaces with per-agent isolation and per-user scoping;
• Support agent template integration to enable memory through configuration;
• Build and integrate APIs for stateful services;
• Contribute to session management and context persistence.

• 3+ Years of backend engineering experience with AI or ML systems;
• Experience integrating APIs for stateful services;
• Experience with session management and context persistence;
• Experience with Python SDK development;
• Experience with Python;
• Experience with AWS AgentCore Memory API, including create memory, query memory, update memory, and delete memory;
• Experience designing memory namespaces with per-agent isolation and per-user scoping;
• Nice to have: AWS AgentCore Memory SDK usage, LangChain memory integration, agent framework development using LangGraph or Crew, conversational AI context handling.

• Vacation according to the laws of the country;
• Health insurance for the employee and their loved ones;
• Sick pay: 10 days without a doctor's note, afterwards according to the laws of the country;
• Time off for state holidays according to the official calendar;
• Two large corporate parties and smaller colleague get-togethers;
• Comfort service for technical and everyday work-related problems;
• The benefits package may vary depending on the region and the type of contract.