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EPAM Systems Linkedin · Posted 5d ago

Senior AI Data Engineer, Data Platforms

Georgia, United States

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Indexed description

We are seeking a Senior AI Data Engineer, Data Platforms, to work day-to-day with agentic coding harnesses (e.g., Claude Code), breaking work into well-scoped tasks, directing AI agents to build and modify code, and reviewing output with calibrated scrutiny — spec-first, tested, and accountable for what your agents produce.

Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi.

Responsibilities

  • Maintain, refactor, and extend the line's AI applications and services in production
  • Build agentic-friendly software: the tools, services, and workflows that LLM-based agents call
  • Design AI workflows that combine models, prompts, tools, enterprise data, and business logic
  • Validate model behavior, outputs, and assumptions from an engineering and production perspective
  • Design and maintain evaluation frameworks for AI/LLM systems, including test suites and human evaluation workflows
  • Write evaluations and quality checks for agent behavior, and build in grounding and assurance
  • Ensure reliability, scalability, cost control, and latency optimization
  • Help bring new agentic systems into production

Requirements

  • 5+ years of experience in strong software engineering, primarily in Python, with other modern languages (TypeScript, Java, Kotlin) acceptable where production-quality code delivery is demonstrated
  • Forward Deployed Engineer mindset, with a desire to understand the business problem and the impact of the solution, and drive pragmatic decisions toward realizing it, including API, service, and integration engineering
  • Proficiency in LLM application patterns (prompting, retrieval-augmented generation, tool/function calling) and proven agentic development practice
  • Expertise as a daily practitioner of agentic coding harnesses (e.g. Claude Code), including spec-first decomposition, directing agents to build and modify production code, and critically reviewing and owning generated output
  • Capability to pick up and improve an existing codebase
  • Skills in validating AI model behavior and outputs from an engineering and production standpoint, rather than a Data Science or ML research perspective
  • Hands-on experience in agentic/LLM application development, including agent loops, evaluations, and tool design
  • English proficiency at B2 level or higher

Nice to have

  • Familiarity with Palantir Foundry / AIP
  • Background in insurance or reinsurance domain
  • Familiarity with cloud AI services (e.g. Azure AI)

We offer

  • We connect like-minded people
    • Delivering innovative solutions to industry leaders, making a global impact
    • Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
    • Opportunity to work abroad for up to two months per year
    • Relocation opportunities within our offices in 55+ countries
    • Corporate and social events
  • We invest in your growth
    • Leadership development, career advising, soft skills and well-being programs
    • Certifications, including GCP, Azure and AWS
    • Unlimited access to EPAM's internal learning database
    • Free English classes with certified teachers
  • We cover it all
    • Participation in the Employee Stock Purchase Plan
    • Monetary bonuses for engaging in the referral program
    • Comprehensive medical & family care package
    • Five trust days per year (sick leave without a medical certificate)
    • Benefits package (sports activities, a variety of stores and services)
EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.
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