Senior QA Engineer – AI (Job ID: JREQ194741)

Job Description

Company: Thomson Reuters
Location: Bangalore, Karnataka, India / Hyderabad, Telangana, India (Hybrid)
Job Type: Full-Time
Experience: 5+ years in software QA and test automation (minimum 2 years in AI/ML systems)
Education: Bachelor’s degree in Computer Science or equivalent experience
Expected Salary: ₹16,00,000–₹26,00,000 lakhs per year
Job Category: Senior QA Engineer, Automation Testing, AI / ML Quality Engineering, Engineering, Information Technology
Website: Website
Contact: Contact us

About the Company:
🌍 Thomson Reuters is a global leader providing trusted content and technology to professionals in legal, tax, accounting, compliance, government, and media.
The company combines specialized software with deep domain insights to support justice, transparency, and informed decision-making, with Reuters being one of the world’s leading news organizations.

About the Role:
🤖 As a Senior QA Engineer – AI, you will design and execute advanced test strategies for AI-powered systems, including RAG pipelines, custom AI agents, and intelligent features used across legal, tax, risk, and compliance products.You will work closely with cross-functional teams to validate AI quality, reliability, fairness, and performance in production, while driving best practices in MLOps/LLMOps and AI testing.

Key Responsibilities:

• 🧪 Design and implement comprehensive test strategies for AI systems, including multi-component pipelines, retrieval-augmented generation, and AI agents with multi-step reasoning.
• 🤖 Develop automated testing frameworks to validate AI model performance, accuracy, reliability, and integration through APIs and scalable data pipelines.
• 📊 Create AI/ML-specific test cases for model validation, output quality, edge cases, drift, bias detection, and fairness evaluation.
• 🧠 Evaluate and prototype new AI testing techniques; build proof-of-concept automation frameworks for new AI features and stay current with AI testing methodologies and metrics.
• 🧑‍💻 Break down functional requirements into detailed test specifications and automation strategies; mentor junior QA engineers and contribute to MLOps/LLMOps practices.
• ⚙ Implement and maintain automated test suites (Selenium, pytest, JUnit), monitoring systems, and ensure compliance with ethical AI, security, and regulatory standards.
• 🐞 Conduct systems analysis, recommend improvements, log and track defects, and produce detailed test reports for each testing iteration.
• 🤝 Collaborate with AI researchers, engineers, designers, and product teams in an Agile/Scrum environment; optimize testing for coverage, speed, and resource usage.

Requirements:

• 💻 5+ years in software QA and test automation, with at least 2 years focused on AI/ML systems testing.
• 🧑‍💻 Strong coding skills in Python and Java for test automation; hands-on experience with Selenium, pytest, JUnit, and related frameworks.
• 📈 Solid understanding of machine learning principles, evaluation metrics, AI testing methodologies, and experience testing AI model integrations via APIs and data pipelines.
• ☁ Experience with cloud platforms (AWS/Azure/GCP), containerization tools (Docker, Kubernetes), relational databases (SQL, Oracle), and complex SQL scripting.
• 🔁 Knowledge of MLOps/LLMOps, CI/CD, Git, Jenkins, and testing Web Services and RESTful APIs.
• 💬 Excellent problem-solving, communication, and collaboration skills, with ability to manage multiple projects and priorities in a fast-paced environment.

Preferred Skills:

• 🧠 Experience testing AI-driven systems, agent-based architectures, and AI APIs (e.g., OpenAI, Anthropic), plus vector databases, embeddings, or search-based AI systems.
• 🔬 Familiarity with PyTorch/TensorFlow, AI model evaluation, bias testing, NoSQL databases, and domain knowledge in legal, tax, or accounting.
• 📂 Portfolio demonstrating AI/ML testing and quality frameworks for LLMs.

Why Join Thomson Reuters?
✅ Flexible hybrid work model with supportive “Flex My Way” policies, work-from-anywhere options, and strong emphasis on work–life balance.
✅ Career growth through continuous learning, “Grow My Way” programs, and skills-first development in an AI-enabled future, backed by industry-competitive benefits and wellbeing resources.
✅ Inclusive, award-winning culture focused on impact and social responsibility, including paid volunteer days, ESG initiatives, and mission-driven work that supports justice, truth, and transparency worldwide.