Quality Assurance Specialist

About Client :

Our client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. They helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Powering this growth is our clients talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications.

Job Title: Python QA

Location: Hyderabad

Experience: 5+ years

Employment Type: Contract to hire

Notice Period: Immediate joiners

What does day-to-day life look like?

• Develop, maintain, and execute test plans and automation scripts for APIs and backend services.
• Perform functional, integration, and regression testing of FastAPI services.
• Collaborate with developers and ML engineers to identify and resolve defects early.
• Build test frameworks and pipelines to enable continuous testing in CI/CD workflows.
• Validate simulation environments and data pipelines supporting reinforcement learning tasks.
• Document test results, track issues, and ensure timely resolution.

Requirements

• 3–6 years of experience in software quality assurance, with a strong focus on automation.
• Hands-on experience with API testing (Postman, PyTest, or equivalent frameworks).
• Solid knowledge of Python for test automation.
• Understanding of REST APIs, async workflows, and microservices testing.
• Good to have: Exposure to reinforcement learning environments (Gym/Gymnasium) or ML/AI pipelines.
• Strong problem-solving and communication skills.