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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** 0026 Checkout Technology Ltd - **Location:** Greater London, UK - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Github, Python (Programming Language), Rapid Prototyping Process, TypeScript, ReactJS, Delivery Pipeline, Large Language Models, Generative AI, Backend, Build Management, Containerization, Kubernetes, Information Technology, Front End Software Development, Restful APIs, Terraform, GPT, Docker, Microservices - **Published:** August 26, 2026 - **Apply:** https://www.collegerecruiter.com/job/2815172325-ai-engineer ## About the Role * 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. ## 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. ## Related Videos - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? 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