Experts
AI Quality Engineer | Horizons Team | Based in Europe in Product Department
in Hostinger - Spain, Latvia, Spain, Italy, Portugal, Poland

Remote
Contract
Not specified
Contract

Job description

See job offer description.


AI Quality Engineer Join Hostinger, and we’ll grow fast! We’re shaping the future of online success – powered by AI and driven by people. With 900+ talented professionals and over 4 million clients in 150 countries, we help creators and entrepreneurs bring their ideas to life faster and easier than ever before.

Our mission: To provide tools that help individuals and small businesses succeed online faster and easier.

Our culture: Guided by 10 company principles Our formula for success: Customer obsession, innovative products, and talented teams.

Your role at Hostinger Join Horizons – the team exploring and building AI-powered products that don’t have industry playbooks yet.

As a Horizons Quality Engineer, you won’t just test features – you’ll define what “correct” means for AI systems that didn’t exist three months ago. This isn’t a traditional QE role with predefined test cases or stable

Your skills and experience

  • 4+ years of experience in software quality engineering (experience with AI-powered products is a strong plus).
  • Strong critical thinking – you reason from first principles, not templates.
  • Experience in web testing and automation (Playwright, Cypress, Selenium, or similar), with strong programming skills (TypeScript is a plus) and confidence working with APIs, logs, debugging tools, and data.
  • Experience with API manual testing and automation (Postman, Rest Assured, Swagger, or similar tools).
  • Experience with Database (MySQL or similar).
  • Ability to define and measure quality beyond “it works,” including meaningful metrics and evaluation criteria.
  • Strong interest in how AI systems work under the hood, with the curiosity to quickly learn new tools and technologies.
  • Comfortable operating in ambiguity – no documentation, no prior art, no one to ask.
  • Proactive, analytical, and persistent, with strong communication skills in English.

What makes you stand out

  • Hands-on experience testing LLM-based or AI-driven systems, including prompt engineering and working with evaluation datasets or benchmarking methods.
  • Strong understanding of AI failure modes (hallucinations, bias, drift, edge cases) and experience designing evaluation frameworks or internal quality standards.
  • Experience working in fast-paced, experimental environments where requirements evolve quickly.

Benefits for you 360 Growth: We provide limitless learning opportunities: access to platforms like Reforge and CoachHub, global conferences, feedback culture, digital libraries, and industry-leading subscriptions. Advance your career with internal mobility, and grow with a team eager to share knowledge and support your success. Freedom & responsibility: Work on your terms, whether from the comfort of home or anywhere in the world. With a home office budget, you can elevate your workspace.

Enjoy the flexibility to manage your schedule while bringing your ideas to life in a fast-paced, dynamic environment. Wellness simplified: Your health comes first with company-provided sick days, 20 paid suspension days, Headspace subscriptions, and recharge leave.

Participate in wellbeing-dedicated events and simply enjoy the balance of a lifestyle that prioritizes wellness. Work hard – play hard: Celebrate your achievements with company events like Town Hall, Meet the Client initiatives, team-building experiences, and workations. Celebrate life’s big moments with milestone gifts for weddings, new parenthood, and graduations. Compensation

  • Gross salary starting from 4500 EUR/month. The upper range depends on your experience and qualifications.

Get ready to take your personal and professional growth to new heights! Join Hostinger today and be part of our journey Three. Two. Onboard

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Benefits

Job requirements

  • Define success criteria for AI-driven features where no industry standards exist, and clarify what “correct” truly means.
  • Design and execute testing strategies for AI tools, including exploratory and adversarial testing to uncover failure modes.
  • Develop evaluation frameworks to measure AI behavior – accuracy, consistency, hallucination rate, edge-case handling, and stability.
  • Build and maintain testing datasets, validation pipelines, and experimentation frameworks.
  • Identify patterns in AI behavior, developing intuition around its strengths, weaknesses, and risk areas.
  • Act as the voice of quality strategy, bridging the gap between what we build and how we know it’s truly good.