Senior AI Data Engineer

Epam Systems — Kyrgyzstan · Posted ~3 weeks ago

Senior Full-time

Skills

AI engineering data engineering LLM systems Python machine learning workflows LLM AI data platforms

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Summary ✨ AI‑Generated

A senior AI data engineering role focused on building reliable AI workflows, evaluation systems, and scalable data-driven applications.

Highlights

Build advanced AI systems and work on production-scale data platforms with modern AI technologies.

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. Responsibilities Maintain, refactor, and extend the line's AI applications and services in productionBuild agentic-friendly software: the tools, services, and workflows that LLM-based agents callDesign AI workflows that combine models, prompts, tools, enterprise data, and business logicValidate model behavior, outputs, and assumptions from an engineering and production perspectiveDesign and maintain evaluation frameworks for AI/LLM systems, including test suites and human evaluation workflowsWrite evaluations and quality checks for agent behavior, and build in grounding and assuranceEnsure reliability, scalability, cost control, and latency optimizationHelp 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 demonstratedForward 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 engineeringProficiency in LLM application patterns (prompting, retrieval-augmented generation, tool/function calling) and proven agentic development practiceExpertise 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 outputCapability to pick up and improve an existing codebaseSkills in validating AI model behavior and outputs from an engineering and production standpoint, rather than a Data Science or ML research perspectiveHands-on experience in agentic/LLM application development, including agent loops, evaluations, and tool designEnglish proficiency at B2 level or higher Nice to have Familiarity with Palantir Foundry / AIPBackground in insurance or reinsurance domainFamiliarity with cloud AI services (e.g. Azure AI) We offer We connect like-minded people:Delivering innovative solutions to industry leaders, making a global impactEnjoyable working environment, whether it is the vibrant office or the comfort of your own homeOpportunity to work abroad for up to two months per yearRelocation opportunities within our offices in 55+ countriesCorporate and social eventsWe invest in your growth:Leadership development, career advising, soft skills and well-being programsCertifications, including GCP, Azure and AWSUnlimited access to EPAM's internal learning databaseFree English classes with certified teachersWe cover it all:Monetary bonuses for engaging in the referral programMedical & family care packageSix trust days per year (sick leave without a medical certificate)Coverage of psychology sessions of your choiceDiscounts for fitness clubs and sports programsBenefits package (sports activities, a variety of stores and services) Experience the freedom of remote work from anywhere in Kyrgyzstan, whether it's the comfort of your home or our modern office in Bishkek. EPAM Kyrgyzstan is a team of technologists and innovators united by a passion for technology. In 2022, we opened our first office in Bishkek that works with the world's leading companies across many different industries. EPAM builds a continuously learning organization and helps its employees reach their full potential and achieve their professional goals through learning. Our agile methodologies, client collaboration frameworks, engineering excellence programs, and hybrid teams offer many career paths and development opportunities.