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- Tasks: Drive AI innovation and mentor peers in a collaborative environment.
- Company: Join Checkout.com, a leader in cutting-edge AI technology.
- Benefits: Enjoy a hybrid work model and competitive perks.
- Other info: Great opportunities for growth in a dynamic tech landscape.
- Why this job: Shape the future of AI while making a real impact.
- Qualifications: Experience with LLMs and strong backend engineering skills.
The predicted salary is between 70000 - 90000 ÂŁ per year.
As a Senior AI Engineer within Checkout.com’s AI Centre of Excellence, you will drive the adoption of cutting‑edge generative AI technologies to transform how we operate and innovate. You will mentor peers, set engineering best practices, and shape Checkout.com’s AI strategy, while also designing, building, and deploying AI solutions that enhance products and streamline business processes in collaboration with cross‑functional teams.
Responsibilities
- Partner with product managers, data scientists, and engineers to research, validate, and deliver high‑impact generative AI use cases.
- Design and build APIs and microservices that integrate AI capabilities into internal and external workflows.
- Develop, fine‑tune, and deploy LLM‑based applications (e.g., chatbots, assistants, knowledge extraction tools).
- Architect scalable AI infrastructure on cloud platforms (AWS, GCP, or Azure), leveraging containerisation and IaC.
- Implement CI/CD pipelines and enforce best practices for secure, compliant AI deployment.
- Build intuitive interfaces that enable teams to interact effectively with AI‑driven features.
- Continuously optimise performance, reliability, and scalability of AI systems.
Qualifications
- Hands‑on experience with LLMs (e.g., GPT, BERT, Llama, Gemini) and applying them to real‑world problems.
- Strong backend engineering expertise, including RESTful APIs and micro‑services design.
- Proficiency in Python/JavaScript and familiarity with AI frameworks (e.g., LangChain, Pydantic).
- Solid understanding of cloud computing (AWS, GCP, or Azure), containerisation (Docker, Kubernetes), and Infrastructure‑as‑Code (Terraform).
- Proven problem‑solving skills and ability to thrive in fast‑paced environments.
- Excellent communication and collaboration skills across diverse teams.
Preferred Qualifications
- Proficiency in C# or Java.
- 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.
- Familiarity with distributed systems and large‑scale data processing.
- Contributions to open‑source projects or a strong GitHub portfolio.
- High technical curiosity and eagerness to learn new platforms.
- Experience in the payments industry (strong plus).
Benefits
- Hybrid working model with three days per week in the office.
Senior Software Engineer, AI Centre of Excellence employer: Checkout.com
Contact Detail:
Checkout.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer, AI Centre of Excellence
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Checkout.com. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your AI projects, especially those involving LLMs or generative AI. Share it on platforms like GitHub to let us see your work in action.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding AI concepts. Practice common interview questions and be ready to discuss how you've tackled real-world problems using AI technologies.
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the latest roles we have available, including exciting opportunities in our AI Centre of Excellence.
We think you need these skills to ace Senior Software Engineer, AI Centre of Excellence
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AI Engineer role. Highlight your experience with LLMs, backend engineering, and any relevant projects that showcase your skills in AI technologies. We want to see how you can drive innovation!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about generative AI and how your background aligns with our mission at Checkout.com. Let us know how you can contribute to our AI Centre of Excellence.
Showcase Your Projects: If you've worked on any AI-related projects, especially those involving APIs or microservices, make sure to include them. We love seeing real-world applications of your skills, so don’t hold back on sharing your GitHub portfolio or open-source contributions!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Checkout.com
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs like GPT and BERT. Be ready to discuss how you've applied these technologies in real-world scenarios, as well as any generative AI applications you've developed. This will show that you're not just familiar with the concepts but have hands-on experience.
✨Showcase Your Engineering Skills
Prepare to talk about your backend engineering expertise, especially in designing RESTful APIs and microservices. Have examples ready that demonstrate your proficiency in Python or JavaScript, and be prepared to discuss any AI frameworks you've worked with, like LangChain or Pydantic.
✨Cloud Knowledge is Key
Since the role involves architecting scalable AI infrastructure, make sure you can discuss your experience with cloud platforms like AWS, GCP, or Azure. Highlight any projects where you've used containerisation tools like Docker or Kubernetes, and mention your familiarity with Infrastructure-as-Code practices.
✨Collaboration is Crucial
This position requires working closely with product managers, data scientists, and engineers. Be ready to share examples of how you've successfully collaborated with cross-functional teams in the past. Good communication skills are a must, so practice articulating your thoughts clearly and confidently.