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 familiarity with AI frameworks (e.g., LangChain, PydanticAI).
- Solid understanding of cloud computing (AWS, GCP, or Azure), containerisation (Docker, Kubernetes), and Infrastructure‑as‑Code (Terraform).
- Proven problem‑solving skills and ability to thrive in fast‑paced environments.
- Excellent communication and collaboration skills across diverse teams.
Preferred qualifications:
- Proficiency in C# or Java.
- Front‑end 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.
- Familiarity with distributed systems and large‑scale data processing.
- Contributions to open‑source projects or a strong GitHub portfolio.
- High technical curiosity and eagerness to learn new platforms.
- Experience in the payments industry (a strong plus).
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