Senior QA Automation Engineer (AI)

Sumsub

Completely RemoteFull TimeEngineering & Architecture
Posted Today

Job description

Responsibilities

  • Research, pilot, and deploy AI-powered testing tools and LLM-integrated platforms to enhance test coverage
  • Work with DevOps and Engineering teams to build internal AI agents for bug triaging, log analysis, and root cause identification
  • Utilize AI to generate high-quality, privacy-compliant synthetic datasets for edge-case testing and performance benchmarking
  • Integrate AI coding assistants into the development workflow to ensure unit tests are generated and validated at the point of creation
  • Educate the broader QA team on AI literacy, prompt engineering for testers, and transitioning from execution to AI supervision

Requirements

  • Solid background in QA Automation with experience pivoting to AI-augmented workflows
  • Hands-on experience integrating LLMs (such as OpenAI or Claude) into the SDLC
  • Proficiency in Python or JavaScript
  • Experience building AI agents, RAG systems, or custom scripts for complex automation tasks
  • Strong understanding of prompt engineering and synthetic data generation

Benefits

  • Remote-first, trust-based culture with no mandatory office days
  • True flexibility with non-fixed working hours
  • Extra time off, including your birthday, 10 personal days, and sick days
  • Fair and transparent compensation benchmarked to the market
  • Opportunities for professional growth and coverage of role-specific events
  • Regular team offsites to collaborate and recharge in person

About the Company

Sumsub is a leading full-cycle verification platform that enables scalable compliance. From identity and business verification to ongoing monitoring, our platform helps over 4,000 clients—including Bitpanda, Wirex, and Vodafone—accelerate growth, prevent fraud, and maintain global compliance.

Skills & tools

AIPythonJavaScriptLLMQuality Assurance

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01QA Automation background
  2. 02LLM integration experience
  3. 03Python or JavaScript proficiency
  4. 04Prompt engineering
  5. 05Synthetic data generation