Description

Key Skills: Machine Learning, Test Automation, LLM, Artificial Intelligence, Generative AI, Python, GenAI Architect, Git, Api Testing, Jenkins, Postman, Cucumber, OpenAI Embedding Models

Roles and Responsibilities:

• Design and implement automated test frameworks for Generative AI, Artificial Intelligence and Machine Learning applications using Python.
• Develop validation strategies for Large Language Model outputs, prompt workflows, model integrations and AI-enabled product features.
• Create functional, regression, integration and end-to-end automated tests for GenAI solutions.
• Evaluate response quality, consistency, accuracy, safety and failure scenarios across AI-driven workflows.
• Collaborate with engineering and product teams to identify defects, improve test coverage and support production-quality releases.

Skills Required:

• 6 to 10 years of experience in test automation, quality engineering or AI product testing, including relevant experience with GenAI solutions.
• Strong experience with Python-based test automation and software quality engineering.
• Practical experience testing Artificial Intelligence, Machine Learning and Generative AI applications.
• Hands-on knowledge of Large Language Models and validation of LLM-powered features.
• Experience designing automated testing strategies for APIs, services and end-to-end application workflows.

Good to Have:

• Experience with Jenkins, Cucumber, API testing, Postman, OpenAI embedding models and Git.

Education : Bachelor's degree in Computer Science, Information Technology, Engineering or a related discipline.

Key Skills

Education

Any Graduate