AI Engineer
Role details
Job location
Tech stack
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
Requirements
Do you have experience in TypeScript?, Do you have a Master's degree?, * 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