dataSpecta

AI QA (auto) for enterprise solutions

In short

This senior QA role at a Data & AI consulting company involves building evaluation harnesses and golden datasets, gating production releases on evaluation baselines, revalidating AI agents after model changes, and running adversarial tests against prompt injection and unsafe tool use. The company serves enterprise customers and builds its own AI products for knowledge search and AI-powered software engineering. It demands 4+ years of QA/test automation experience plus proven experience evaluating LLM or ML outputs and strong Python skills. The role is based in Baku in a hybrid work format, requiring fluent English.

About
DataSpecta is a Data & AI consulting and engineering company helping organizations transform data into measurable business value through advanced analytics, modern data platforms and enterprise AI solutions. We design and deliver solutions across both on-premise and cloud environments, working closely with enterprise customers from discovery through production. Alongside customer projects, we build our own AI products such as CogniSpecta (enterprise knowledge & cognitive search) and CodeSpecta (AI-powered software engineering).
Responsibilities
•Build versioned golden datasets and evaluation harnesses
•Gate production releases on evaluation baselines in CI
•Revalidate agents at each model version change
•Run quality control on recurring reports
•Run adversarial tests for prompt injection, data leakage and unsafe tool use
•Triage support and agent output incidents
•Maintain the audit evidence pack
Requirements
•Based in Baku or willing to relocate
•4+ years in QA or test engineering, including test automation ownership
•Proven experience evaluating LLM or ML outputs
•Strong Python skills for evaluation tooling
•Experience with formal defect management
•Fluent English
•Curiosity about solving business problems with AI
•Comfort across business, data and technology
•End-to-end ownership
•Continuous learning
Nice to have
•Audit evidence experience in a regulated sector
•Model risk management frameworks
Conditions
No conditions specified in the posting.

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