Senior AI Evals Engineer
Rubrik, Inc. (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 25–45 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain comprehensive evaluation frameworks and automation pipelines to assess LLM-based AI agent performance, safety, and compliance.
- Build synthetic testing environments and golden datasets focused on adversarial testing, bias detection, and safety monitoring for agentic AI systems.
- Lead quality assurance strategies including regression detection, real-time observability, and actionable reporting to ensure production readiness of AI agents.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or equivalent.
- 8+ years overall software test engineering experience with 5+ years in test engineering or QA automation including AI/ML evaluation systems.
- 2+ years working hands-on with ML/AI systems, LLM-based applications, or agentic workflows in production.
- 2+ years as a senior/lead owning evaluation strategy and quality frameworks for complex AI agent systems; deep hands-on experience with LLM evaluation frameworks (e.g., DeepEvals, LangSmith).
Ideal Candidate Profile
- Extensive experience in building and scaling automated evaluation frameworks integrated with CI/CD pipelines in enterprise AI product environments.
- Strong technical expertise in agentic AI patterns (tool use, planning, multi-step reasoning) and practical production testing of generative AI / LLM agents.
- Demonstrated ability to lead technical decisions and collaborate cross-functionally with AI/ML engineers, policy/legal teams, and product stakeholders to enforce Responsible AI and safety standards.