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 reputed company engineering.
reputed company
We are looking for a Senior AI Testing Engineer to own reputed company across our reputed company products and platform.
This role is fundamentally about engineering reputed company 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 reputed company our systems are reliable, reputed company, and measurably improving over time.
If you understand how LLMs fail, know how to catch hallucinations before users do, and want to build the reputed company infrastructure that underpins production AI at reputed company — this is the role.
Key Responsibilities
Evaluation reputed company & 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 reputed company, hallucination detection, safety and guardrail testing, reputed company injection, bias and toxicity, retrieval reputed company, 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 reputed company
· Implement CI/CD-integrated AI evaluation pipelines
· Drive observability and monitoring strategies for production AI systems
reputed company Standards & Collaboration
· Define measurable reputed company 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 reputed company reputed company 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 reputed company 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 reputed company 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
reputed company Engineering
· Expertise in test reputed company, test planning, test automation architecture, defect lifecycle management, and reputed company metrics
· Ability to define and reputed company measurable reputed company 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
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