Senior Software Engineer, AI Centre of Excellence

Job description

Company Description We’re Checkout.com . You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. As a Senior AI Engineer within Checkout.com’s AI Centre of Excellence, you will drive the adoption of cutting-edge Generative AI technologies to transform how we operate and innovate. You will mentor peers, set engineering best practices, and shape Checkout.com’s AI strategy, while also designing, building, and deploying AI solutions that enhance products and streamline business processes in collaboration with cross-functional teams. How you’ll make an impact: Partner with product managers, data scientists, and engineers to research, validate, and deliver high-impact Generative AI use cases. Design and build APIs and microservices that integrate AI capabilities into internal and external workflows. Develop, fine-tune, and deploy LLM-based applications (e.g., chatbots, assistants, knowledge extraction tools). Architect scalable AI infrastructure on cloud platforms (AWS, GCP, or Azure), leveraging containerisation and IaC. Implement CI/CD pipelines and enforce best practices for secure, compliant AI deployment. Build intuitive interfaces that enable teams to interact effectively with AI-driven features. Continuously optimise performance, reliability, and scalability of AI systems. What we're looking for: Hands-on experience with LLMs (e.g., GPT, BERT, Llama, Gemini) and applying them to real-world problems. Strong backend engineering expertise, including RESTful APIs and micro-services design. Proficiency in Python/JavaScript and fami…