Software Engineer, AI Centre of Excellence Software …, London

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.

• 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

• 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

• 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