What are the responsibilities and job description for the Senior Full-Stack Engineer (AI) London position at Checkout Group?
Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, The Hut Group, Sony Electronics, Sainsbury’s, Deliveroo, Adidas, Klarna and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how.
Please read the following job description thoroughly to ensure you are the right fit for this role before applying.
We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re on the Forbes Cloud 100 list and a Great Place to Work accredited company. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. Join us to build the digital economy of tomorrow.
Job Description
As a Senior Full Stack Engineer within Checkout.com’s AI Center of Excellence, you will play a pivotal role in applying cutting-edge Generative AI technologies to transform how we operate and innovate. You will design, build, and deploy AI-driven solutions, collaborating across teams to create impactful applications that enhance product features and streamline business processes.
How you’ll make an impact :
- Collaborate with product managers, data scientists, and engineers to research, scope, and validate use cases for Generative AI that drive business value and innovation.
- Design and build APIs and microservices to integrate AI capabilities seamlessly into internal and external workflows.
- Support the development, tuning, and deployment of Generative AI models (e.g., chatbots, virtual assistants, and knowledge extraction).
- Create scalable, reliable infrastructure for training, deploying, and monitoring AI models, leveraging cloud platforms like AWS, GCP, or Azure.
- Implement CI / CD pipelines and ensure adherence to best practices for model deployment, security, and compliance with global regulations.
- Develop intuitive, user-friendly interfaces to enable stakeholders to interact with AI-driven features.
- Continuously monitor and optimize system performance to ensure scalability, security, and operational efficiency.
Qualifications
What We’re Looking For :
We also want to hear if you have :
Additional Information
Hybrid Working Model : All of our offices globally are onsite 3 times per week (Tuesday, Wednesday, and Thursday). We’ve worked towards enabling teams to work collaboratively in the same space, while also being able to partner with colleagues globally. During your days at the office, we offer amazing snacks, breakfast, and lunch options in all of our locations.
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