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 focus 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 employer: 0026 Checkout Technology Ltd
At Checkout.com, we pride ourselves on fostering a dynamic and innovative work environment where AI Engineers can thrive. Our culture encourages collaboration and creativity, providing ample opportunities for professional growth while working on cutting-edge Generative AI solutions that have a real impact on our operations. Located in a vibrant tech hub, we offer competitive benefits and a supportive atmosphere that values curiosity and continuous learning.
Contact Details:
0026 Checkout Technology Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨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 Generative AI. This is your chance to demonstrate your hands-on experience and problem-solving abilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI and backend engineering, and be ready to discuss your past experiences and how they relate to the role.
✨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
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 Generative AI and how you see it transforming the industry.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to highlight the skills and experiences that align with the job description. We want to see how your background in backend engineering and AI expertise makes you a perfect fit for our team!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your technical skills and experiences, making it easy for us to see your qualifications at a glance.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
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, JavaScript, or TypeScript. Familiarise yourself with RESTful APIs and micro-services design, as you might be asked to solve a technical problem on the spot.
✨Understand the Cloud Landscape
Get comfortable with cloud platforms like AWS, GCP, or Azure. Be ready to discuss your experience with containerisation tools like Docker and Kubernetes, and how you've used infrastructure-as-code tools like Terraform in your projects. This will show you have a solid grasp of modern development practices.
✨Communicate Effectively
Since collaboration is crucial, practice articulating your thoughts clearly. Prepare to explain complex concepts in simple terms, especially when discussing your past projects. Highlight your soft skills and how you’ve worked with cross-functional teams to achieve common goals.
