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Backend Engineer, Memory Integration

EPAM Systems

Role overview

Summary

This role focuses on integrating memory into agent workflows within a remote team in Portugal. You will work at the intersection of agent framework design and production-grade AI systems, shaping how context and session data are managed across the platform.

Qualifications

  • Hands-on experience with agent memory integration in a production agentic AI project.
  • Three-plus years of backend engineering with AI or machine learning systems.
  • API integration for stateful services.
  • Session management and context persistence.
  • Python software development kit (SDK) development.

Responsibilities

  • Integrate agent memory with write-on-turn and retrieve-on-turn functionalities.
  • Create, query, update and delete memory using AWS AgentCore Memory API.
  • Design memory namespaces for per-agent isolation and per-user scoping.
  • Develop Python helpers for agent memory in the platform library.

Key facts

Hard skills

About the company

EPAM Systems logo

EPAM Systems

  • IT Services & Consulting
  • XLarge
  • 10,001+
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.
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Job description

Every agentic AI platform faces the challenge of making memory work at scale without sacrificing security or speed. The Backend Engineer, Memory Integration role in Portugal is remote and sits at the intersection of agent framework design and production-grade AI systems. This is where Python libraries and memory-enabled agent templates shape how context and session data are handled across the platform. The person in this role shapes how agent memory becomes a seamless, reliable part of every agent’s workflow. Responsibilities Integrate agent memory with write-on-turn (store session events) and retrieve-on-turn (fetch relevant context) Create, query, update and delete memory using AWS AgentCore Memory API Design memory namespaces for per-agent isolation and per-user scoping Develop Python helpers for agent memory in the platform library Integrate memory into agent templates to enable configuration-based memory without custom code Requirements Hands-on experience with agent memory integration in a production agentic AI project, such as AWS AgentCore Memory API (write-on-turn/retrieve-on-turn), memory namespace design or agent template memory configuration (general backend/API integration experience without agent-specific memory context does not meet this bar) Three-plus years of backend engineering with AI or machine learning systems API integration for stateful services Session management and context persistence Python software development kit (SDK) development Nice to have AWS AgentCore Memory SDK usage LangChain memory integration Agent framework development (LangGraph, Crew) Conversational AI context handling

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