Senior Quality Assurance Engineer

About Client:

Our client is a Palo Alto–based AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the Intelligent Talent Cloud,enabled companies to spin up their engineering dream team in the cloud by sourcing and managing vetted global talent.

In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deployment—powered by their internal AI platform, ALAN, and backed by a vast talent network. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta.

Job Description:-

Job Title: Senior Quality Assurance Engineer

Location: Pan India

Experience: 5+ yrs

Employment Type: Contract to hire

Work Mode: Remote

Notice Period: Immediate joiners

Roles & Responsibilities:

Role Overview

We are looking for a Senior QA Engineer to ensure quality and reliability of our Reinforcement Learning (RL) Gym platform, including environments, agents, and training workflows.

What does day-to-day life look like

• Design and execute test strategies for RL environments and pipelines
• Validate reward logic, state transitions, and environment behavior
• Build and maintain automated test frameworks (Python-based)
• Ensure reproducibility and data integrity of experiments
• Perform API, integration, and performance testing
• Collaborate with ML and engineering teams to identify edge cases

Requirements

• 5+ years of full-time QA experience
• Strong Python and test automation skills (PyTest or similar)
• Understanding of QA methodologies and debugging
• Basic knowledge of Reinforcement Learning concepts
• Experience with APIs, CI/CD, and distributed systems
• Experience working on ML / AI-based projects
• Strong experience in test automation and SQL
• Backend QA experience (API, services, data validation)