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AI-Driven Software Development Engineer in Test (QA/QE)

A fintech unicorn building the future of payments, pioneering AI innovation in payment solutions with millions of customers.
Backend
Mid-Level Software Engineer
Remote
AI · Finance

Description For AI-Driven Software Development Engineer in Test (QA/QE)

CloudWalk, a fintech unicorn, is revolutionizing the payments industry through AI innovation. We're seeking an AI-Driven Software Development Engineer in Test to join our Quality Engineering team. This role combines traditional QA/QE practices with cutting-edge AI technologies, working alongside developers as co-owners of our codebase.

The position requires expertise in LLMs like GPT-4 and Claude, with a strong focus on AI-assisted development and testing. You'll be responsible for designing and implementing AI-powered quality solutions, developing test automation enhanced by AI capabilities, and championing a DevOps culture with an AI-first mindset.

The ideal candidate should have practical experience with AI-assisted development, strong prompt engineering skills, and a deep understanding of product development and system architecture. Additional valuable skills include experience with cloud environments (GCP, AWS), ML/AI testing frameworks, and knowledge of database technologies.

At CloudWalk, we're building a future where AI empowers every department, from People teams to Marketing, Customer Success, Risk analysis, and Design. We offer a remote work environment and the opportunity to be part of a team that's not just engineering solutions but building a smarter, AI-driven future for payments.

Join us if you're passionate about continuous learning, embrace AI innovation, and want to be part of a revolutionary approach to quality engineering in the fintech space.

Last updated a day ago

Responsibilities For AI-Driven Software Development Engineer in Test (QA/QE)

  • Design and implement AI-powered quality solutions using LLMs and emerging technologies
  • Develop test automation and supporting tools, enhanced by AI capabilities
  • Champion Quality and DevOps culture with an AI-first mindset
  • Collaborate on requirements implementation focusing on testability and compliance

Requirements For AI-Driven Software Development Engineer in Test (QA/QE)

  • Practical experience with LLMs (GPT-4, Claude) and AI-assisted development tools
  • Expertise in prompt engineering and AI model interaction
  • Strong understanding of product development and system architecture
  • Knowledge of AI-powered code analysis and quality tools
  • High standards for quality, attention to detail, and passion for performance
  • Excellence in cross-team communication and collaboration

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