Identify the most effective architectures and models to solve complex data problems around Quality Engineering using GenAI/Ganetic AI
Apply GenAI/AgenticAI in automating different aspects of STLC such as Test artefact generation, defect prediction, defect triaging, failure analysis, test optimization, impact analysis and self-healing.
Agentic AI driven Application validation based on RAG/Graph RAG based LLMs to maximize coverage and accuracy
Validate performance and incorporate feedback function for LLM based applications
Build solutions to ensure fairness and trustworthiness of GenAI/Agentic AI systems by performing automated tests ensuring prompt safety, and response accuracy
Lead, mentor, and advise the team members in deploying LLMs and AI models for specified use cases
Document, summarize and present findings and recommendations for Continuous improvement of AI/GenAI implementations across Quality Assurance & Quality Engineering
Skills / Qualification
Bachelor’s degree in Statistics, Computer Science, or Engineering
At least 4 years experience in analytics, data science, ML Engineering in STLC
Experience with building a range of AI /GenAI/Agentic AI based models into production for use cases like Test case generation, Defect classification & prediction, Root cause analysis (RCA), auto script generation, Model Based Testing (MBT), Test case optimization, Self-healing etc
At least 1-2 years of experience in building & deploying LLM based solutions from leading vendors like OpenAI – GPT, Google Gemini or AWS Claude code
Extensive Python experience required with libraries like LangChain, Ragas, Truelens etc
Able to communicate technical issues in AI/GenAI with technical & non-technical stakeholders
Ability to quickly implement POCs on Agentic AI/GenAI assurance use cases based on client data
Job Summary
Location
Chennai
Experience
6 - 9 years
Posted
31 Aug 2026
📌 AI - Helio for QA (Chennai)
🏢 Novature Tech
📍 Chennai
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