python developer for AI agent platforms

HireHi; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

HireHi is seeking a backend engineer to build memory-enabled agents and integrate AWS AgentCore Memory API for write-on-turn and retrieve-on-turn workflows. You will design memory namespaces with per-agent isolation and per-user scoping, and work with templates to enable memory via configuration.

You will develop Python SDKs, helpers, and APIs for stateful services, focusing on session management and context persistence in AI/ML environments.

Qualifications

• 3+ years of backend engineering experience with AI/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 (create, query, update, delete).
• Experience designing memory namespaces with per-agent isolation and per-user scoping.

Responsibilities

• Develop Python helpers for memory-enabled agents.
• Integrate write-on-turn session event storage and retrieve-on-turn context fetching.
• Implement memory lifecycle operations: create, query, update, 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.

Skills

Backend engineering

AI/ML systems

API integration

Session management

Context persistence

Python SDK development

Python

AWS AgentCore Memory API

Memory namespaces design

LangChain memory

LangGraph / Crew

Convo AI context handling

Tools

AWS AgentCore Memory API

LangChain memory integration

LangGraph

Crew framework

Job description

Описание:

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.

Задачи:

• 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.

Требования:

• 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.

Условия:

• 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.