About the Role
talabat is the leading on-demand food and non-food delivery platform in MENA, operating across 8 countries and processing hundreds of millions of orders annually. We’re part of Delivery Hero, the global leader in online food delivery and q-commerce, and we’re engineering-first.
The Role – AI Governance Engineer
You own the standard-setting, testing, and independent verification of AI agent safety, quality, and compliance as our agent fleet grows. You’re not building agents or operating them. You’re the person who defines what “safe, correct, and compliant” means, tests for it independently, scales that testing as agent count grows, and drives accountability when something breaks. As agent count climbs, you’ll scale through risk-tiering and reusable test libraries.
As our AI agent fleet grows, we need someone to own the standard-setting, testing, and independent verification of safety, quality, and compliance. You’re not building or operating agents—you’re the person who defines what “safe, correct, and compliant” means, tests for it at scale, and drives accountability. You’ll use AI tools as your default to do governance work at speed while knowing where humans must stay in the loop.
Key Responsibilities
- Architect adversarial payload libraries and red-teaming frameworks that Engineering teams use to self-test their agents
- Author the reusable red-teaming library (payload templates and attack patterns) that covers the OWASP Top Vulnerabilities for LLM Applications and your specific agent patterns
- Enable teams to verify data leakage prevention and tool guardrails autonomously through standardized verification suites
- Provide periodic red-team campaigns and automated regression scripts that empower teams to own their safety posture
How to Apply
More jobs at get9to5jobs.com