AI Engineer

0026 Checkout Technology Ltd; Greater London; On-site; GBP 50,000 - 85,000; Full time

Job summary

0026 Checkout Technology Ltd is seeking an AI Engineer passionate about building products that align with our strategic goals. You will work within our AI Centre of Excellence to rapidly develop generative AI solutions that improve internal workflows.

Your role includes partnering with product managers and designing user-focused products, along with deploying LLM applications on cloud platforms. A strong background in AI and software engineering will ensure your success in this dynamic environment.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Hands‑on experience with LLMs (e.g. GPT, Gemini, Claude).
• Strong backend engineering expertise, including RESTful APIs and micro‑services design.
• Proficiency in Python, JavaScript, TypeScript and familiarity with AI frameworks.
• Solid understanding of cloud computing and infrastructure‑as‑code.

Responsibilities

• Partner with product managers and engineers to deliver high-impact Generative AI use cases.
• Design and build user‑facing products leveraging AI capabilities.
• Build, deploy, measure, and iterate on LLM‑based applications.
• Develop end‑to‑end AI solutions on cloud platforms.
• Design systems that optimise performance and scalability.

Skills

Generative AI

Problem-solving

Communication

Collaboration

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

Python

JavaScript

TypeScript

AWS

GCP

Azure

Docker

Kubernetes

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 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.