Gen AI Tester

Description

About us :

Where elite tech talent meets world-class opportunities!

At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today’s most complex challenges.

We are building a community of top-tier experts and we’re opening the doors to an exclusive group of exceptional  AI & ML Professionals  ready to solve real-world problems and shape the future of intelligent systems.

Requirements

Job Description – Generative AI Tester (5+ Years Experience)

Role Overview

We are seeking a skilled and proactive Generative AI Tester with over 5 years of experience in software testing and quality assurance, including 2–3 years focused on Generative AI systems . The ideal candidate will be responsible for validating AI-driven features, ensuring model reliability, and driving end-to-end testing workflows across enterprise-grade applications.

Key Responsibilities

• Collaborate with product, data science, and engineering teams to understand AI use cases and define test strategies.
• Design and execute test cases for LLM-based features such as summarization, classification, conversational flows, and content generation.
• Validate model outputs for factual accuracy, tone, relevance, and compliance with domain-specific standards.
• Develop automated test scripts and frameworks for prompt-response validation and regression testing.
• Evaluate ML models using metrics like precision, recall, F1-score, and domain-specific thresholds.
• Conduct integration testing across cloud platforms (e.g., AWS, Azure, GCP) and data environments (e.g., Snowflake, Databricks).
• Document test results, anomalies, and improvement suggestions in structured formats.
• Ensure ethical AI practices and compliance with data governance policies.

Required Skills & Experience

Preferred Qualifications