Responsibilities

· Define quality engineering frameworks for AI agents, LLM systems, and autonomous workflows.

· Design validation strategies covering functionality, reasoning quality, grounding, safety, compliance, and robustness.

· Conduct adversarial testing, red-teaming, prompt injection testing, jailbreak testing, and model abuse simulations.

· Build AI evaluation harnesses and automated quality gates within AI-DLC pipelines.

· Define AI governance controls, risk management practices, and compliance mechanisms.

· Validate agent decisions, tool usage, workflow execution, and operational behavior.

· Partner with engineering teams to improve trust, safety, and resilience.

Qualifications





· Bachelor's or Master's degree in Computer Science, AI, Cybersecurity, or related discipline.

· Experience in Quality Engineering, Security Engineering, or AI Validation.

· Knowledge of AI security, adversarial machine learning, prompt attacks, OWASP LLM Top 10, and Responsible AI.

· Experience with model evaluation platforms, red-team frameworks, and automated testing solutions.

· Understanding of Agentic AI control systems and human-in-the-loop governance models.

· Experience working in regulated environments.

📌 AI Quality (Chennai)
🏢 TalentOla
📍 Chennai