AI Engineer

We’re looking for an AI Engineer who brings fresh ideas, has a curious nature and is passionate about working in an Engineering environment that 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.

Responsibilities

• 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 (CI/CD), agent evaluations, and observability.
• Design systems that continuously optimise performance, reliability, and scalability of AI systems.

Qualifications

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• AI & LLM Expertise: Hands-on experience with LLMs (e.g. GPT, Gemini, Claude) 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, Pydantic, 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.

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• AI & LLM Expertise: Hands-on experience with LLMs (e.g. GPT, Gemini, Claude) 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, Pydantic, 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.