6 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Contractual

Job Description

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, 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 Title: QA Engineer

Location: Pan India

Experience: 3+ yrs

Employment Type: Contract to hire

Work Mode: Remote

Notice Period: Immediate joiners


Required Skills:


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.

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