Title: AI/ML Test Engineer – GenAI

Location - Mumbai

Technical Skills

• Solid experience in Generative AI, LLMs, and Agentic AI systems

• Hands-on expertise with AI evaluation frameworks (RAGAS, DeepEval, TruLens, LangSmith, Promptfoo, etc.)

• Proficiency in Python and AI/ML development libraries

• Knowledge of Prompt Engineering, prompt testing, and optimization

Ability to define and track evaluation metrics such as accuracy, relevance, groundedness, hallucination rate, latency, and user satisfaction

• Experience in creating automated evaluation pipelines and benchmarking frameworks

• Robust understanding of AI safety, guardrails, bias testing, and responsible AI practices

• Familiarity with REST APIs, JSON, vector databases, and knowledge retrieval systems

• Experience in A/B testing, human-in-the-loop evaluation, and red teaming

• Solid experience in Manual Testing of AI/GenAI applications, including functional, exploratory, UAT, regression, and end-to-end testing

• Expertise in validating Agent Reasoning, Tool Calling,



Workflow Execution, and Response Quality

• Hands-on experience in Automation Testing using Python frameworks

Key Responsibilities
Design, execute, and automate evaluation strategies for Agentic AI applications.
Develop evaluation datasets, test cases, and benchmark suites.
Measure and improve agent performance, reasoning quality, tool usage, and workflow effectiveness.
Analyze model outputs and identify hallucinations, biases, safety risks, and failure patterns.
Collaborate with AI Engineers, Product Teams, and Domain Experts to improve agent quality and reliability.
Generate evaluation reports, dashboards, and actionable recommendations.

Skills:- Generative AI, Python, Test Automation (QA), Manual testing, Functional testing, Regression Testing, Agentic AI, Large Language Models (LLM), Prompt engineering, RESTful APIs, python frameworks and LLM Evaluation Frameworks

📌 Ai/ml Test Engineer Mumbai
🏢 Improving
📍 Mumbai