At a Glance
- Tasks: Lead generative AI projects, mentor peers, and design impactful AI solutions.
- Company: Join a cutting-edge AI Centre of Excellence with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and continuous learning.
- Why this job: Shape the future of AI while working on exciting, real-world applications.
- Qualifications: Experience with LLMs, strong backend skills, and a passion for AI technology.
The predicted salary is between 70000 - 90000 £ per year.
About the role
Lead generative AI initiatives, mentor peers, set engineering standards, and design and deploy AI solutions to enhance products and processes.
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 (such as 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.
- Front-end 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).
Senior AI Engineer employer: 0026 Checkout Technology Ltd
As a Senior AI Engineer at our AI Centre of Excellence, you will be part of a dynamic and innovative team that values collaboration and continuous learning. We offer a supportive work culture that encourages mentorship and professional growth, alongside competitive benefits and opportunities to work on cutting-edge generative AI projects. Located in a vibrant tech hub, our company provides a unique environment where your contributions can make a significant impact on the future of AI technology.
Contact Details:
0026 Checkout Technology Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. 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 AI projects, especially those involving LLMs or generative AI. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to AI and backend engineering. Practice explaining your thought process clearly, as communication is key when collaborating with product managers and engineers.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior AI Engineer role. Highlight your hands-on experience with LLMs and backend engineering expertise. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for generative AI and how you’ve tackled real-world problems. Let us know why you’re excited about joining StudySmarter and what you can bring to the team.
Showcase Your Projects:If you've worked on any relevant projects, especially in generative AI or cloud infrastructure, make sure to include them. A strong GitHub portfolio or contributions to open-source projects can really set you apart!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 like GPT and BERT. Be ready to discuss how you've applied these technologies in real-world scenarios, as well as any generative AI projects you've worked on. 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 used, 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 implemented containerisation or Infrastructure-as-Code, as this will show your technical depth.
✨Communication is Crucial
This role requires collaboration with product managers and data scientists, so be ready to demonstrate your communication skills. Share examples of how you've successfully worked in diverse teams and how you’ve built intuitive interfaces for AI-driven features. This will highlight your ability to bridge the gap between technical and non-technical stakeholders.
