- Work on next-generation AI agents and GenAI platforms.
- Build AI quality frameworks in a high-impact environment.

About Our Client Our client is a leading enterprise organisation investing significantly in artificial intelligence, automation, and advanced analytics. The organisation is building scalable AI-powered products and is focused on delivering reliable, governed, and production-ready GenAI solutions across business functions. Test AI agents, multi-agent workflows, and GenAI applications.

Validate RAG pipelines, reasoning accuracy, and tool-calling.

Build Python/PySpark-based AI testing frameworks.

Assess hallucination, safety, regression, and performance risks.

Collaborate with Data Science and AI Engineering teams.

The Successful Applicant 5-10 years of software, AI/ML, or testing experience.





Robust expertise in Python, PySpark, and automation testing.

Hands-on knowledge of LLMs, RAG, LangChain, and LangGraph.

Experience with AI agents, orchestration, and evaluation tools.

Strong communication and stakeholder management skills.

What's On Offer Opportunity to shape AI quality practices at scale.

Exposure to cutting-edge GenAI and agentic technologies.

Significant collaboration with AI Engineering teams.

Competitive compensation with performance bonus.

Long-term career growth in a rapidly evolving AI domain.

Contact Quote job ref: JN-082026-7084432

📌 Senior AI QA Engineer (Hyderabad)
🏢 Michael Page
📍 Hyderabad