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QA Automation Engineer – AI Gateway Platform

  • Source: Indeed
  • Peafox AI
  • Hybrid
  • India
  • Full-Time
  • Mid level

Job Description

QA Automation Engineer – AI Gateway Platform

Company: Peafox AI

Location: India – Remote / Hybrid

Employment Type: Full-Time

Experience: 3–5 Years

Industry: Artificial Intelligence / SaaS / Cloud Technology

About Peafox AI

Peafox AI is developing a next-generation AI gateway platform that enables businesses and developers to access multiple large language models (LLMs) through a unified API infrastructure.

We are building a secure, scalable, and commercially reliable platform supporting intelligent model routing, usage tracking, billing, and multiple AI providers.

Key Responsibilities

  • Develop and execute automated API testing frameworks.

  • Independently test API routing, model switching, and provider failover.

  • Validate token consumption, billing calculations, wallet balances, and transaction accuracy.

  • Perform concurrent request, performance, and load testing.

  • Conduct regression testing and maintain automated test suites.

  • Identify, document, and track software defects.

  • Verify functionality against agreed technical specifications and acceptance criteria.

  • Collaborate with the CTO and development team while maintaining independent QA reporting.

  • Integrate automated testing into CI/CD pipelines.

Required Technical Skills

  • Python and Pytest

  • Postman and REST API testing

  • API automation frameworks

  • k6 or Locust

  • SQL and database testing

  • Git and GitHub Actions

  • Automated test reporting

  • Performance and load testing

Preferred Qualifications

  • Experience testing SaaS platforms or API gateways.

  • Familiarity with OpenAI, Anthropic, Gemini, or other LLM APIs.

  • Understanding of API authentication, rate limiting, and token-based billing.

  • Experience with cloud-hosted applications.

What We Offer

  • Opportunity to contribute to a new AI infrastructure platform.

  • Direct collaboration with the technology leadership team.

  • Exposure to modern AI, cloud, and API technologies.

  • Long-term career growth opportunities.

To Apply: Submit your CV, relevant project experience, and details of API automation frameworks you have developed.

Work Location: Remote

Skills

  • Python
  • Pytest
  • postman
  • k6
  • locust
  • Github
  • github-actions
  • openai
  • Gemini

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