
We are looking for a QA Engineer with hands-on experience in testing Generative AI systems, LLMs, and RAG pipelines. This role goes beyond traditional QA and focuses on evaluating non-deterministic AI outputs, testing agentic workflows, and ensuring AI safety, accuracy, and reliability in enterprise-grade AI services.
You will work on API-driven AI services such as Intelligent Document Processing and AI Gateways, ensuring they meet enterprise standards before deployment.
Key Responsibilities
- Test and validate Generative AI applications, LLMs, and RAG-based systems
- Evaluate AI outputs for accuracy, groundedness, coherence, and hallucination
- Design and execute test strategies for multi-step agentic workflows
- Perform API and integration testing for AI services
- Build automated test pipelines using Python
- Create synthetic datasets for testing AI systems
- Conduct adversarial testing (prompt injection, safety, guardrails)
- Integrate AI testing into CI/CD pipelines
Must-Have Skills
- 5–7 years of experience in QA / Test Automation
- Hands-on experience testing Generative AI / LLM-based applications
- Strong programming skills in Python
- Experience with RAG pipelines
- Knowledge of LLM evaluation frameworks (RAGAS, TruLens, LangSmith or similar)
- Strong experience in API testing (Postman, REST Assured, etc.)
- Experience testing multi-agent workflows / agentic systems
- Understanding of hallucination, prompt injection, and AI safety concepts
Good-to-Have Skills
- Experience with GCP (Vertex AI) or Azure OpenAI
- SQL / NoSQL knowledge for data validation
- Experience in BFSI / Insurance domain
- Performance testing of APIs and AI systems
Additional Information
- Candidates without hands-on experience in testing Generative AI / LLM systems will not be considered
- Immediate to 45 days notice period preferred

About Quantiphi
About
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results.
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Bengaluru, Mumbai, and Trivandrum
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