GenAI Evaluation Engineer

Job Description

• Strong understanding of LLMs and generative AI concepts, including model behavior and output evaluation
• Experience with AI evaluation and benchmarking methodologies, including baseline creation and model comparison
• Hands-on expertise in Eval testing, creating structured test suites to measure accuracy, relevance, safety, and performance
• Ability to define and apply evaluation metrics (precisionrecall, BLEUROUGE, F1, hallucination rate, latency, cost per output) Prompt engineering and prompt testing experience across zero-shot, few-shot, and system prompt scenarios
• Python other programming languages, for automation, data analysis, batch evaluation execution, and API integration
• Experience with evaluation tools/frameworks (OpenAI Evals, HuggingFace evals, Promptfoo, Ragas, DeepEval, LM Eval Harness)
• Ability to create datasets, test cases, benchmarks, and ground truth references for consistent...

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