Description
We are looking for an AI Solution/Principal Engineer to join a team building a sovereign, multi-tenant agentic AI platform along with the applied products on top of it. Everything ships under strict data residency constraints and works in Arabic and English.
Responsibilities
•Set evaluation strategy: what gets measured, at which layer, with what methodology, and how results feed product decisions
•Build the shared platform, including evaluation harnesses, golden-set management, dataset versioning, automated grading, regression detection, and reporting leadership can read
•Make grading trustworthy through judge model selection, rubric design, calibration against human labels, and knowing when automated grading cannot be trusted
•Evaluate retrieval and agents for grounding and citation correctness, tool-use validation, multi-step reasoning and failure recovery
•Develop Arabic golden sets and judges calibrated for Arabic rather than assumed to transfer from English
•Run online evaluation and drift detection
•Conduct prompt injection, jailbreak and data-leakage red-teaming
•Wire evaluation and test automation together as quality gates in CI/CD
Requirements
•5+ years of experience building evaluation or test infrastructure others depend on, including harnesses, shared libraries and frameworks
•At least 1 year of relevant leadership experience
•Expertise in AI evaluation covering output quality, retrieval and grounding, and regression detection on non-deterministic behavior
•Proficiency in LLM-as-judge methodology: rubric design, calibration against human labels, and understanding its failure modes
•Advanced proficiency in Python, at the depth needed to build shared libraries, with intermediate competency in TypeScript or Java
•Knowledge of statistics for non-deterministic systems, including sampling, confidence intervals, inter-rater agreement and significance
•Skills in CI/CD framework design across API, web and data surfaces, with test selection, parallelization and flake management
•Background in golden sets and dataset versioning
•English proficiency at an Upper-Intermediate level (B2) or higher
Nice to have
•Familiarity with ragas, DeepEval, Promptfoo, Braintrust, LangSmith or Langfuse
•Expertise in Arabic evaluation, including golden sets, dialect coverage, right-to-left validation and judge calibration
•Background in adversarial and security testing, including red-teaming
•Capability to perform voice and conversational evaluation, and performance testing against AI services
•Experience delivering in a regulated or government environment
Conditions
•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 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
•Discounts in local language schools, including offline courses for the Uzbek language
•Monetary bonuses for engaging in the referral program
•Medical & family care package
•Four trust days per year (sick leave without a medical certificate)
•Discounts for fitness clubs, dance schools and sports programs
•Benefits package (sports activities, a variety of stores and services)
