QA Engineer for AI Products/Solutions

Hi,

Please review the below JD:

QA Engineer for AI Products/Solutions

Location - Bellevue WA

Job Description

• Design and execute test plans for AI/ML-driven features, including model outputs, prompts, and integrated application behavior

• Build and maintain automated test suites covering functional, regression, integration, and API testing

• Evaluate model outputs for accuracy, consistency, bias, hallucination, and edge-case failures

• Develop evaluation frameworks and golden datasets/test cases to benchmark model performance over time

• Test prompt engineering changes, model version upgrades, and fine-tuning outputs for regressions

• Perform adversarial and red-team style testing to surface safety, security, and robustness issues

• Validate data pipelines feeding into AI models (data quality, schema, drift detection)

• Collaborate with data scientists/ML engineers to define acceptance criteria and quality metrics for models

• Test latency, scalability, and reliability of AI services under load

• Contribute to CI/CD pipelines, integrating automated and model-evaluation tests

• Hands-on experience testing LLM-based products (chatbots, copilots, RAG systems, AI agents) — designing test cases for non-deterministic, generative outputs

• Practical experience with AI/LLM evaluation frameworks (e.g., Ragas, DeepEval, LangSmith, Promptfoo, OpenAI Evals, TruLens) — building eval suites, scoring rubrics, and golden datasets

• Working knowledge of eval metrics for generative AI: hallucination rate, faithfulness/groundedness, relevance, answer correctness, toxicity/bias scoring, BLEU/ROUGE/semantic similarity where applicable

• Experience with prompt regression testing — validating prompt changes and model/version upgrades against baseline eval sets

• Strong proficiency in Python for writing eval scripts, test harnesses, and data validation logic

• Familiarity with SQL and data validation techniques

The environment is primarily Microsoft Azure-based, with Snowflake also playing a key role. Their GenAI initiatives largely leverage OpenAI and Claude models.