AI Engineer

Company Description We’re Checkout.com – you might not know our name, but companies like eBay, ASOS, Klarna, Uber Eats, and Sony do. That moment when you check out online? We make it happen. Checkout.com is where the world checks out. Our global network powers billions of transactions every year, making money move without making a fuss. We spent years perfecting a service most people will never notice. Because when digital payments just work, businesses grow, customers stay, and no one stops to think about why. With 19 offices spanning six continents, we feel at home everywhere – but London is our HQ. Wherever our people work their magic, they’re fast-moving, performance-obsessed, and driven by being better every day. Ideal. Because a role here isn’t just another job; it’s a career-defining opportunity to build the future of fintech. Job Description We're looking for an AI Engineer who brings fresh ideas, has a curious nature and is passionate about working in an Engineering environment which focuses on building products to achieve the company's strategic goals. As a Software Engineer within Checkout.com’s AI Centre of Excellence, you will rapidly build and iterate on Generative AI solutions to transform how cross-functional teams operate. You will work with teams from across Checkout.com’s portfolio of products and services who all have a real customer first philosophy. You will design, build, and deploy AI solutions that enhance products and streamline business processes in collaboration with cross-functional teams. You will also be an avid user of coding agents and know how to get the most out of them. How you’ll make an impact: Partner with product managers, non-technical business users and engineers to research, validate, and deliver high-impact Generative AI use cases Design and build user facing products that leverage AI capabilities for optimising internal workflows with a focus on adoption and user satisfaction Build, deploy, measure and iterate on LLM-based applications (e.g., agents, knowledge extraction, automation solutions). Develop end-to-end AI solutions on cloud platforms (AWS, GCP, or Azure) taking a build-it-yourself attitude to the entire development lifecycle including test suites, deployment pipelines (CICD), agent evaluations and observability Design systems that continuously optimise performance, reliability, and scalability of AI systems What we’re looking for: Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, or related field AI & LLM Expertise: Hands-on experience with LLMs (e.g. GPT, Gemini, Claude Code) and applying them to real-world problems Backend Proficiency: Strong backend engineering expertise, including RESTful APIs and micro-services design Technical Stack: Proficiency in Python/JavaScript/Typescript and familiarity with AI frameworks (e.g., LangChain, PydanticAI and Google Agent Development Kit) Cloud & Infrastructure: Solid understanding of cloud computing (AWS, GCP, or Azure), containerisation (Docker, Kubernetes), and Infrastructure-as-Code (Terraform) Soft Skills: Proven problem-solving skills and ability to thrive in fast-paced environments, with excellent communication and collaboration skills across diverse teams Preferred qualifications: Proficiency in Python Frontend development experience with JavaScript/TypeScript and frameworks such as React Experience developing Generative AI applications, including model fine-tuning and prototyping Awareness of ethical AI practices and emerging standards in AI governance Track record of rapid prototyping with measurable ROI Contributions to open-source projects or a strong GitHub portfolio High technical curiosity and eagerness to learn new platforms Bring all of you to work We create the conditions for high performers to thrive – through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and ... (truncated, view full listing at source)