At a Glance
- Tasks: Create innovative AI solutions and collaborate with diverse teams to optimise workflows.
- Company: Join a forward-thinking tech company focused on AI excellence.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a strong emphasis on learning and innovation.
- Why this job: Be at the forefront of AI technology and make a real difference in product development.
- Qualifications: Degree in Computer Science or related field; experience with LLMs and backend engineering.
The predicted salary is between 60000 - 80000 £ per year.
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.
AI Engineer in London employer: 0026 Checkout Technology Ltd
At Checkout.com, we pride ourselves on fostering a dynamic and innovative work culture that empowers our AI Engineers to push the boundaries of technology. Located in a vibrant tech hub, we offer competitive benefits, continuous learning opportunities, and a collaborative environment where your ideas can flourish. Join us to be part of a forward-thinking team dedicated to transforming the future of payments through cutting-edge AI solutions.
Contact Details:
0026 Checkout Technology Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow AI enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or Generative AI. This is your chance to demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical team members.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI shine through! Share specific examples of projects or experiences that sparked your interest in AI and how they relate to the role. We love seeing candidates who are genuinely excited about the field.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the AI Engineer position. Highlight relevant skills and experiences that align with our job description. We want to see how your background fits into our mission at StudySmarter, so don’t hold back!
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language and avoid jargon unless it’s necessary. We appreciate candidates who can communicate complex ideas simply, especially in a tech-heavy environment like ours.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at 0026 Checkout Technology Ltd
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs and Generative AI. Be ready to discuss how you've applied these technologies in real-world scenarios. Prepare examples that showcase your problem-solving skills and how you’ve built or iterated on AI solutions.
✨Show Off Your Coding Skills
Since backend proficiency is key, be prepared to demonstrate your coding abilities. Practice coding challenges in Python or JavaScript, and be ready to explain your thought process. Familiarise yourself with RESTful APIs and micro-services design, as these will likely come up in conversation.
✨Talk Teamwork and Communication
This role involves collaborating with product managers and non-technical users, so highlight your soft skills. Share experiences where you successfully communicated complex technical concepts to non-tech folks or worked in cross-functional teams. This shows you can bridge the gap between tech and business.
✨Get Cloud Savvy
Since cloud platforms are a big part of the job, make sure you understand AWS, GCP, or Azure. Be ready to discuss how you've used these platforms in past projects, especially in terms of deployment pipelines and infrastructure-as-code. Showing your hands-on experience will set you apart!
