Description
The team is building a sovereign, multi-tenant agentic AI platform and applied products on top of it. Its systems operate under strict data residency constraints and support Arabic and English.
Responsibilities
•Set the evaluation strategy, including what to measure, at which layer, with which methodology, and how results inform product decisions
•Build shared evaluation infrastructure, including evaluation harnesses, golden-set management, dataset versioning, automated grading, regression detection, and reporting for leadership
•Make grading trustworthy through judge model selection, rubric design, calibration against human labels, and identifying 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
•Run online evaluation and drift detection
•Conduct prompt injection, jailbreak, and data-leakage red-teaming
•Integrate evaluation and test automation as quality gates in CI/CD
Requirements
•5+ Years of experience building evaluation or test infrastructure used by others, 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 for non-deterministic behavior
•Proficiency in LLM-as-judge methodology, including rubric design, calibration against human labels, and understanding its failure modes
•Advanced Python proficiency sufficient to build shared libraries
•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, including test selection, parallelization, and flake management
•Background in golden sets and dataset versioning
•English proficiency at 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
No conditions stated in the posting.
