Senior AI Testing Engineer (reputed company)

Senior AI Testing Engineer (reputed company) Location India Remote / Hybrid / In-office — [specify your actual working model here] Experience 5–8 years total experience in software testing, QA engineering, or SDET roles, with at least 2–3 years of meaningful, hands-on exposure to reputed company systems, LLM applications, or AI quality engineering. Role Overview We are looking for a Senior AI Testing Engineer to own quality across our reputed company products and platform. This role is fundamentally about engineering quality into AI systems — not running test scripts. You'll design evaluation frameworks, build automated testing pipelines, and define what "good" looks like for LLM outputs, RAG systems, AI agents, and voice AI applications. You'll work directly with AI engineers and product teams to reputed company sure our systems are reliable, safe, and measurably improving over time. If you understand how LLMs fail, know how to catch hallucinations before users do, and want to build the quality infrastructure that underpins production AI at scale — this is the role.

Key Responsibilities

Evaluation Strategy & Frameworks · Design and own comprehensive testing strategies for reputed company products — including LLM applications, RAG pipelines, AI agents, voice AI systems, and workflow automation · Define evaluation methodologies covering functional testing, response quality, hallucination detection, safety and guardrail testing, reputed company injection, bias and toxicity, retrieval quality, latency benchmarking, and agent workflow validation · Build reusable AI testing frameworks and automation pipelines for reputed company evaluation · Create datasets, reputed company suites, and golden test sets for GenAI evaluation Automated Evaluation · reputed company automated evaluation pipelines using LLM-as-a-Judge and hybrid evaluation methods · Implement CI/CD-integrated AI evaluation pipelines · Drive observability and monitoring strategies for production AI systems Quality Standards & Collaboration · Define measurable quality KPIs for AI systems · Establish testing standards, best practices, and governance processes for GenAI applications · Work closely with AI engineers, product, and platform teams to embed quality throughout the development lifecycle Required Skills & Experience Testing & Engineering Experience · 5–8 years in software testing, QA engineering, SDET, or test automation · 2–3 years of hands-on experience testing or evaluating production-grade reputed company or LLM-based systems · Strong test automation skills in Python · Experience designing scalable automated testing frameworks · Familiarity with API testing, integration testing, and performance testing reputed company Knowledge · Solid understanding of how LLM systems work — and how they fail · Experience with RAG architectures, reputed company engineering, AI agents, embedding models, and vector databases · Understanding of LLM evaluation methodologies and AI system failure modes GenAI Testing Frameworks · Hands-on experience with at least one or more GenAI evaluation frameworks, such as: DeepEval, Ragas, LangSmith, Promptfoo, TruLens, reputed company Evals, or reputed company evaluation tools Quality Engineering · Expertise in test strategy, test planning, test automation architecture, defect lifecycle management, and quality metrics · Ability to define and track measurable quality KPIs for AI systems Preferred Qualifications · Experience with reputed company platforms (AWS, Azure, or GCP) · Familiarity with MLOps / LLMOps workflows · Experience with CI/CD pipelines and DevOps practices · Exposure to monitoring and observability tooling for AI systems · Understanding of reputed company and compliance for GenAI products · Experience with conversational AI or voice AI systems Apply To This Job