Lead AI-Native Engineer: Agentic Software Delivery

EPAM Systems

United States

Remote

USD 180,000 - 210,000

Full time

2 days ago
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Job summary

EPAM Systems Inc. is expanding AI-native teams focused on building AI-powered software across web apps, APIs, data pipelines, modernization and agentic systems. As Lead, you own delivery quality, define team workflows with AI agents, and collaborate directly with client stakeholders.

You will guide a small team, establish engineering standards for agent usage, and mentor engineers while contributing to presales and PoCs. Strong Java/.NET/Python and real-world agent experience are essential.

Qualifications

  • 7+ years in software engineering; hands-on with Java, .NET or Python; strong design and debugging skills.
  • 6+ months daily, hands-on use of AI coding agents on real projects.
  • Deep context engineering for coding agents: repo instructions, prompt files, skills, custom agents.
  • Experience with TDD, test automation, CI/CD quality gates for AI-generated code.

Responsibilities

  • Lead technical delivery of a small AI-native team from problem framing to production.
  • Define agentic SDLC: specs, configuration, and background/parallel agent work.
  • Set up repositories for agents: instructions, prompt files, skills, custom agents, MCP servers.
  • Define how AI-generated code is checked: TDD, test automation, code review, static and security analysis in CI/CD.

Skills

Java
C#.NET
Python
Design & Debugging
AI coding agents usage

Tools

GitHub Copilot
Codex
CLAUDE Code
CI/CD

Job description

EPAM Systems Inc. is expanding AI-native teams focused on building AI-powered software across web apps, APIs, data pipelines, modernization and agentic systems. As Lead, you own delivery quality, define team workflows with AI agents, and collaborate directly with client stakeholders.

You will guide a small team, establish engineering standards for agent usage, and mentor engineers while contributing to presales and PoCs. Strong Java/.NET/Python and real-world agent experience are essential.

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