Required Skills (AI/ML-1 Level)

Technical Skills

Strong 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

Solid 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

Strong 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.

📌 Quality Analyst for AI/ML 1 (Hyderabad)
🏢 Snapper Future Tech
📍 Hyderabad