EPAM Systems

Senior AI Engineer with Amazon Bedrock AgentCore

EPAM Systems$135K — $160K *
US-AnywhereRemote in Georgia, US
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in Python engineering
  • Hands-on experience with LangGraph and LangChain
  • Familiarity with AWS Bedrock AgentCore Runtime
  • Experience with orchestration tools such as Temporal or Airflow
  • Knowledge of distributed system patterns like checkpointing and idempotency
  • Understanding of multi-agent orchestration patterns
  • English proficiency at B2 level or higher

Responsibilities

  • Own the design and evolution of the Agent Orchestration Framework
  • Design and implement multi-agent orchestration patterns
  • Build and maintain checkpointing and state management mechanisms
  • Architect human-in-the-loop (HITL) workflows
  • Enable agent delegation through the Agent Gateway
  • Develop and maintain agent runtimes on AWS Bedrock
  • Collaborate with engineering teams to standardize agent development practices

Benefits

  • Opportunity to work on cutting-edge AI technologies
  • Engage in a production-grade, cloud-native ecosystem
  • Involvement in cross-functional collaboration at scale
  • Potential for influence on enterprise agent development practices
Full Job Description
We are looking for a Senior AI Engineer to join our team and own the Agent Orchestration Framework, covering multi-agent orchestration patterns, checkpointing/state management, and human-in-the-loop workflow design as part of our Enterprise Agent Development Platform - a production-grade, cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale. The platform standardizes agent development across the organization using LangGraph and Strands Agents on AWS AgentCore Runtime, providing a single-file developer experience where the platform handles runtime, tooling, observability, and deployment automatically. Responsibilities Own the design and evolution of the Agent Orchestration Framework across the platform Design and implement multi-agent orchestration patterns such as supervisor/worker and fan-out/fan-in Build and maintain checkpointing and state management mechanisms within LangGraph workflows Architect human-in-the-loop (HITL) workflows to support enterprise approval processes Enable A2A agent delegation through the Agent Gateway Develop and maintain agent runtimes on AWS Bedrock AgentCore Runtime Collaborate with engineering teams to standardize agent development practices across the organization Ensure observability, reliability, and scalability of deployed agents in production environments Requirements 5+ years of experience in Python engineering Hands-on experience with LangGraph and LangChain for multi-step agent workflows Experience with AWS Bedrock AgentCore Runtime Experience with workflow orchestration tools such as Temporal or Airflow, or equivalent platforms Knowledge of stateful distributed system patterns, including checkpointing and idempotency Understanding of multi-agent orchestration patterns, including supervisor/worker and fan-out/fan-in designs Familiarity with human-in-the-loop (HITL) workflow design English proficiency at B2 level or higher Nice to have Experience evaluating AWS AgentCore Runtime maturity Familiarity with AWS Bedrock Memory API Experience integrating enterprise HITL approval workflows

About EPAM Systems

EPAM Systems, Inc. is a leading global provider of digital platform engineering and development services. The company has a strong presence in North America, Europe, and Asia, and serves clients in a variety of industries, including financial services, healthcare, and retail. EPAM's services include software engineering, product development, and digital platform engineering, and the company has a reputation for delivering high-quality solutions that help its clients achieve their business goals. EPAM has been recognized as a leader in the digital services industry by a number of independent research firms, and the company has won numerous awards for its work.
Learn more about EPAM Systems
Size
58,824 employees
Market Cap
$18.2 billion
Industry
Net Income
$327.1 million
Founded
1993
5 Year Trend
+26.5%
Revenue
$2.6 billion
NASDAQ

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