Feeny
Smallest

Automation QA Engineer at Smallest (Bengaluru, India)

Smallest · Bengaluru, India·

Role details

Work type
Onsite
Employment
Full-Time

Job description

AUTOMATION QA ENGINEER

Location: Bangalore

ABOUT SMALLEST.AI smallest.ai

smallest.ai smallest.ai is building next-generation AI infrastructure and voice technology to power intelligent products at scale. We work across speech, LLMs, and real-time AI systems, building tools developers and businesses rely on.

We're looking for an Automation QA Engineer to build and own our backend automation test suite. You'll work closely with engineers to ensure our APIs, services, and end-to-end workflows are reliable, scalable, and production-ready.

WHAT YOU’LL DO

  • Build and maintain a scalable end-to-end automation test suite for backend services
  • Automate API and integration testing across multiple services
  • Validate business logic, data flow, and end-to-end workflows
  • Identify edge cases, regressions, and failure scenarios
  • Integrate automated tests into CI/CD pipelines
  • Investigate test failures and work with engineers to resolve issues

Improve test coverage, automation frameworks, and QA processes

What We’re Looking For

  • Strong understanding of software testing fundamentals, STLC, and SDLC
  • Experience with manual testing across UI and APIs
  • Ability to design clear test scenarios and test cases
  • Strong analytical thinking and attention to detail
  • Ability to think through real user behavior and product flows
  • Good communication and collaboration skills

WHY JOIN SMALLEST.AI smallest.ai

  • Build the automation foundation for cutting-edge AI products
  • Work on large-scale backend systems and real-time AI infrastructure
  • Be part of a high-ownership engineering culture
  • Help teams ship faster with confidence through reliable automation

If you're passionate about building robust backend automation and ensuring product quality at scale, we'd love to hear from you.

Why work at Smallest

  • Engineering Culture: Small research lab with a focus on bleeding‑edge model efficiency; strong emphasis on shipping production‑grade systems.
  • Remote/Hybrid Policy: Not explicitly stated; offices in San Francisco, India, and Canada, suggesting a hybrid or flexible approach.
  • Notable Perks: Opportunity to work on frontier AI models from scratch, influence product direction, and deploy at scale. Access to enterprise‑grade infrastructure and compliance frameworks.
  • Team Composition: 20% technical, 9% research, with founders deeply involved; talent sourced from top tech firms (Qualcomm, Meesho, Observe.AI).

Application questions