Sr. Test Engineer - API Testing Job
YASH Technologies View all jobs
- Indore, Madhya Pradesh
- Permanent
- Full-time
- Design and implement test strategies for text-based AI agents and conversational systems
- Understands LLM responses, reasoning accuracy, and hallucination risks
- AI Response Validation: Manually verify that AI agent responses are accurate, non-toxic, and free of hallucinations.
- Functional & Agentic Testing: Test the agent's ability to call external tools (MCP, APIs) and execute complex workflows correctly.
- Scenario Testing: Develop and execute manual test cases for diverse, edge-case user queries, including adversarial testing (prompt injection).
- Defect Documentation: Identify, document, and report bugs in AI reasoning, UI, and performance in tools like JIRA.
- UAT & Usability: Perform User Acceptance Testing to ensure the AI interaction is intuitive and meets end-user needs.
- Dataset Curation: Collaborate with developers to create high-quality datasets for training and testing.
- Testing Expertise: 4+ years of experience in functional, regression, and usability testing.
- Additional weightage will be given to candidates worked on AI Product Testing.
- AI Familiarity: Understanding of LLM behavior, chatbots, or agentic systems.
- API Testing: Hands-on experience with tools like Postman to validate AI API calls.
- Analytical Skills: Strong ability to analyze unstructured conversational data and identify patterns.
- Technical Aptitude: Basic knowledge of Python or SQL is a plus for analyzing logs.
- Experience testing AI chatbots
- Prompt testing and response evaluation
- Hallucination detection and output validation
- Testing RAG pipelines and knowledge retrieval
- Understanding of LLM evaluation metrics
- API testing
- Test automation frameworks (PyTest or similar)
- REST services testing
- Testing agent workflows and tool integrations
- Multi-turn conversation testing
- LLM evaluation tools such as:
- LangSmith
- Promptfoo
- DeepEval
- Experience with vector databases (Pinecone, Weaviate, FAISS)
- Knowledge of AI safety and responsible AI
- Experience with MLOps tools (MLflow, Kubeflow)
- Flexible work arrangements, Free spirit, and emotional positivity
- Agile self-determination, trust, transparency, and open collaboration
- All Support needed for the realization of business goals,
- Stable employment with a great atmosphere and ethical corporate culture