The Role
Lead QA automation for AI/LLM systems: define validation criteria for non-deterministic models, build automated and performance tests, validate RAG systems, perform API and integration testing, ensure release readiness and trace defects to data/models/requirements.
Summary Generated by Built In
N-iX is looking for a Senior QA Automation Engineer to lead the validation and verification strategies for EDGE Group’s AI transformation. You will be responsible for defining "what good looks like" for non-deterministic AI systems, ensuring that Large Language Models (LLMs) and predictive engines meet the strict reliability standards of the defense sector.
Qualifications
- 5+ years in QA Automation
- Experience testing data-driven systems, AI, or ML models
- Strong analytical skills for defining test criteria in non-deterministic systems
- Ability to collaborate with engineers, data scientists, and product teams
- Experience in regulated industries (defense, aerospace) will be a plus
- English level - at least Upper-Intermediate
Technical Requirements
- Strong experience in Python and test automation frameworks (Pytest, Selenium/Playwright, API testing)
- Experience with performance testing tools (JMeter, Locust, K6)
- Familiarity with LLM evaluation tools (e.g., DeepEval, TruLens)
- Knowledge of SQL and data validation tools
- Experience with CI/CD pipelines (GitLab) and version control (Git)
- Exposure to test reporting tools (Allure, TestRail)
Key Responsibilities1. AI & LLM Testing
- Build automated tests to evaluate AI outputs for accuracy, consistency, and reliability
- Validate Retrieval-Augmented Generation (RAG) systems using metrics like relevance and correctness
- Create regression tests to detect changes in AI behavior (prompt drift)
- Test integrations between AI systems and enterprise platforms (e.g., SAP)
- Perform API testing, including security and access control validation
- Design performance tests for latency, scalability, and system throughput
- Align test cases with system requirements and user needs
- Support release readiness through structured testing reviews
- Track and manage defects, ensuring traceability to data, models, or requirements
We offer*:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
*not applicable for freelancers
Skills Required
- 5+ years in QA Automation
- Experience testing data-driven systems, AI, or ML models
- Strong analytical skills for defining test criteria in non-deterministic systems
- Ability to collaborate with engineers, data scientists, and product teams
- Experience in regulated industries (defense, aerospace)
- English level - at least Upper-Intermediate
- Strong experience in Python and test automation frameworks (Pytest)
- Experience with UI automation frameworks (Selenium, Playwright) and API testing
- Experience with performance testing tools (JMeter, Locust, K6)
- Familiarity with LLM evaluation tools (DeepEval, TruLens)
- Knowledge of SQL and data validation tools
- Experience with CI/CD pipelines (GitLab) and version control (Git)
- Exposure to test reporting tools (Allure, TestRail)
- Experience testing integrations with enterprise platforms (e.g., SAP)
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The Company
