[Hiring] Senior AI Quality & Evaluation Engineer @Solvd

Role Description

We are looking for a Senior AI Quality & Evaluation Engineer to own the independent proof that retrieval works and that permissions hold. You’ll build and run the golden question suite, negative entitlement tests, and drift alarms that serve as acceptance gates — so the engineers who built the system are not grading their own work. This is a 50% allocation role across weeks 3–10, drawn from a Quality Engineering or GRC background, reporting to the POD Lead and working day-to-day with the retrieval engineer.

• Build the golden question suite from top contact drivers and needs workshops — question, expected source, expected passage, and acceptance thresholds for relevance, grounding, and citation accuracy, versioned alongside the content it tests.
• Build the negative entitlement test set — queries issued under unentitled identities that must return no restricted passage, with any failure raised as a severity-one alarm.
• Build freshness and retirement tests — source-modified-to-index-available lag per item against the agreed threshold, and verification that retired items disappear on the next sync.
• Automate the harness to run on schedule and after every content, configuration, or model change — publishing scores to the quality dashboard with trend lines and regression alarms.
• Define the QA gate content analysts apply to remediated content.
• Run the suite before every pilot change in weeks 7–9 and report misses with root cause — content, chunking, ranking, or permissions — to the right owner.
• Write the evaluation runbook and train client stewards and platform owners to add questions, re-run the suite, and interpret regressions.

Qualifications

• 3+ years in software quality engineering or test automation with Python, including building test harnesses that run in CI on a schedule.
• Hands-on evaluation of a search or RAG system in production — writing ground truth sets, scoring relevance and grounding, and tracking drift over time.
• Experience designing security-focused negative tests — authorization, entitlement, data exposure — and reporting them at the severity a client security team expects.
• Ability to work in AWS — invoking Bedrock and OpenSearch APIs, reading CloudWatch, deploying a scheduled job with infrastructure code.
• Clear written reporting; the suite’s output is read by client stewards, not only engineers.

Preferred Qualifications

• AWS Certified AI Practitioner or Machine Learning Engineer Associate.
• Experience with RAG evaluation libraries and LLM-as-judge scoring with human calibration.
• Contact center or knowledge management domain exposure.
• Familiarity with SOC 2 or ISO 27001 evidence practices.

Benefits

• Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
• Be part of a global team with equal opportunities for collaboration across continents and cultures.
• Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.

Company Description

Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery — from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.