Lead Python Backend Engineer for Scalable AI Agents

EPAM Systems

United States

Remote

USD 140.000 - 190.000

Vollzeit

Vor 2 Tagen
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Zusammenfassung

EPAM Systems is seeking a Lead Python Backend Engineer to join our team building an Enterprise Agent Development Platform. You will design and implement memory-enabled backend services, focusing on scalable, cloud-native architecture on AWS.

You will integrate AgentCore Memory, develop Python SDKs, and ensure robust session management and context persistence across agent interactions. Strong Python and API integration skills are essential.

Qualifikationen

  • 7+ years of backend engineering experience with AI/ML systems.
  • Hands-on experience integrating agent memory in production AI projects.
  • Expertise in Python SDK development and API integration.
  • Proficient in session management and context persistence.
  • English proficiency at B2 level or higher.

Aufgaben

  • Integrate AgentCore Memory into platform agent templates and helper libraries
  • Implement write-on-turn functionality to store session events
  • Implement retrieve-on-turn functionality to fetch relevant context
  • Design and build memory namespace architecture for per-agent isolation and per-user scoping
  • Develop Python helper libraries to support memory-enabled agents across the platform
  • Enable memory activation through configuration rather than custom code in agent templates
  • Work with AWS AgentCore Memory API to create, query, update, and delete memory records
  • Build and maintain API integrations for stateful services
  • Manage session persistence and context continuity across agent interactions

Kenntnisse

Python
AI/ML systems
API integration
Session management
SDK development
English proficiency

Tools

AWS
AgentCore Memory SDK
LangGraph

Jobbeschreibung

EPAM Systems is seeking a Lead Python Backend Engineer to join our team building an Enterprise Agent Development Platform. You will design and implement memory-enabled backend services, focusing on scalable, cloud-native architecture on AWS.

You will integrate AgentCore Memory, develop Python SDKs, and ensure robust session management and context persistence across agent interactions. Strong Python and API integration skills are essential.

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