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Senior QA Automation Engineer, AI Systems
Software MindSenior QA Automation Engineer focusing on AI systems within a multicultural team at Software Mind. Ensuring AI output quality and test framework design for complex RAG implementations.
ATS Keywords
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Hard Skills
QA automation engineeringtest automation engineeringPythonpytestAPI testingcontract testingtest frameworksregression testingaccuracy rubric test casesincremental ingestion pipeline
Soft Skills
collaborationdecision makingdocumentation
Tools & Technologies
JiraAI Extraction Gateway
Industry Keywords
RAG output qualityretrieval accuracycitation correctnessgroundingRBAC enforcementrole-specific access controlsaudit loggingdocument lifecycle traceabilityagilescrum
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Design and implement the validation harness for RAG output quality: retrieval accuracy, citation correctness, and grounding
- Build automated test suites for the AI Extraction Gateway across Simple RAG and Complex RAG implementations
- Develop and execute accuracy rubric test cases in collaboration with the BA and Designated Subject Matter Expert
- Automate regression testing for confidence score calibration and source weighting behaviour
- Test RBAC enforcement and role-specific filtered view access controls
- Validate audit logging completeness and document lifecycle traceability
- Build and maintain the incremental ingestion pipeline test suite
- Contribute to go/no-go decision packs: produce accuracy reports and test evidence documentation
Requirements
What you’ll need- 6+ years in QA automation engineering; senior seniority required
- Strong test automation engineering skills
- Python preferred (pytest or equivalent framework)
- Experience with API testing and contract testing
- Comfortable designing test frameworks for non-deterministic or probabilistic systems
- Experience in agile/scrum environments with Jira-based test management
Benefits
Comp & perks- Flexible work arrangements