Overview

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.

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
Required Qualifications:
  • 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
Benefits:
  • Delivering innovative solutions to industry leaders, making a global impact
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your home
  • Opportunity to work abroad for up to two months per year
  • Relocation opportunities within our offices in 55+ countries
  • Corporate and social events
  • 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
  • Participation in the Employee Stock Purchase Plan
  • Monetary bonuses for engaging in the referral program
  • Comprehensive medical & family care package
  • Four trust days per year for personal needs
  • Discounts for fitness clubs
  • Benefits package (hotels, restaurants, stores and services)
Nice To Have:
  • Familiarity with Palantir Foundry / AIP
  • Background in insurance or reinsurance domain
  • Familiarity with cloud AI services (e.g. Azure AI)
  • AI Solution Engineering
Note:

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