Software Engineer, Qa (AI)

TL;DR

Software Engineer, QA (AI): Ensuring the reliability, accuracy, and robustness of AI-powered products, including applications, APIs, and machine learning models with an accent on automated testing and edge-case analysis. Focus on building tools and frameworks that enable efficient and scalable quality testing processes.

Location: Primarily based at one of our European offices (Paris, France and London, UK). We will prioritize candidates who either reside in Paris or are open to relocating. Remote candidates based in France, UK, Germany, Belgium, Netherlands, Spain and Italy will be considered with visits to our Paris office for the first week of their onboarding (accommodation and travelling covered) and then at least 3 days per month.

Company

hirify.global democratizes AI through high-performance, optimized, open-source and cutting-edge models, products and solutions.

What you will do

• Develop automated test suites to validate app features, APIs, and model integrations, ensuring end-to-end reliability and user experience.
• Collaborate with PMs and other stakeholders to identify and rigorously test edge cases, improving the robustness of both platform features and models.
• Contribute to building tools and frameworks that enable more efficient and scalable quality testing processes across the organization.
• Implement pre-release quality gates to validate models, APIs, and platform updates, providing a green light for production releases.
• Design and lead comprehensive quality assurance campaigns, including functional, stress, and performance testing, to proactively identify potential issues.

Requirements

• Proven ability to create and execute comprehensive test strategies, covering functional, regression, and exploratory testing for AI products.
• Proficient in QA tools like Playwright, Postman, or similar platforms for API and functional testing.
• Skilled in identifying, documenting, and collaborating with developers to resolve issues efficiently.
• Autonomous and a self-starter.
• Proactive problem-solver with a continuous improvement mindset.
• Proficient in Python or Typescript.

Nice to have

• Experience testing Machine Learning models.
• Understanding of the Machine Learning lifecycle.
• Experience in various types of testing : performance, load, accessibility or others
• Strong debugging skills.

Culture & Benefits

• Competitive salary and equity
• Health insurance
• Transportation allowance
• Sport allowance
• Meal vouchers
• Private pension plan
• Generous parental leave policy

Hiring process

• Recruiter Screening (45min)
• Hiring Manager Interview (30min)
• Take-home test
• Live-Coding (Scripting) (60min)
• Culture-fit discussion (30min)