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For Companies At a Glance
- Tasks: Design and build a cutting-edge AI platform for innovative financial solutions.
- Company: Leading UK tech business revolutionising payments and financial services.
- Benefits: Competitive salary, flexible work schedule, and opportunities for professional growth.
- Why this job: Join a dynamic team shaping the future of AI in finance.
- Qualifications: Experience in software engineering with a passion for AI technologies.
- Other info: Collaborative environment with significant impact on the UK's payment landscape.
The predicted salary is between 100800 - 109200 £ per year.
Here at Burns Sheehan, we’re working with a leading UK tech business in the payments and financial services space - processing billions in transactions each year and supporting around 20% of all UK card payments. They’re continuing to invest heavily in their engineering function and are now expanding a dedicated AI team that’s quickly becoming a key part of their technology strategy. They’re hiring experienced Software / Platform Engineers to help build and scale their internal AI Platform - the infrastructure, tooling, and developer experience layer that enables teams across the business to develop and deploy AI-driven products.
What You’ll Be Doing:
- Designing and building the core AI platform that supports LLMs, agents, and other AI systems.
- Developing APIs, SDKs, and orchestration tooling that help product / data teams consume AI capabilities at scale.
- Automating infrastructure / model deployments using Kubernetes, Terraform, and CI/CD pipelines.
- Building and managing vector databases and retrieval systems to support RAG pipelines.
- Working with LLM frameworks like LangChain, LangGraph, CrewAI, or similar tools.
- Partnering closely with engineering, security, and product teams to deliver safe, production-ready AI systems.
What They’re Looking For:
- Strong background in Software or Platform Engineering - ideally with Python, Java or Go.
- Experience with Kubernetes, Terraform, and cloud environments (GCP preferred).
- Understanding of microservices, distributed systems, and cloud-native architecture.
- Interest or experience in AI infrastructure, LLM tooling, or AI platform enablement.
- A collaborative engineer who enjoys problem-solving and contributing to technical direction.
If you’re interested in helping build real AI infrastructure within a fast-moving, product-led business that’s making a visible impact across the UK - get in touch to find out more.
Platform Engineer employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those involving Python, Kubernetes, or AI. We want to see what you can do, so make it easy for us to find!
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills and understanding of AI platforms. We love candidates who can dive deep into their knowledge and share insights about LLMs and cloud-native architecture.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate engineers ready to make an impact.
We think you need these skills to ace Platform Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Kubernetes, and Terraform. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about building AI platforms and how your background makes you a great fit for our team. Keep it engaging and personal – we love to see your passion!
Showcase Your AI Interest: Since we're looking for someone with an interest in AI and LLMs, make sure to mention any relevant experience or projects you've worked on. Whether it's a personal project or something from your previous job, we want to hear about it!
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 don’t miss out on any important updates. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Burns Sheehan
✨Know Your Tech Stack
Make sure you’re well-versed in Python, GCP, Kubernetes, and Terraform. Brush up on your knowledge of CI/CD processes and be ready to discuss how you've used these technologies in past projects. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Show Your AI Passion
Since the role involves building an AI platform, demonstrate your interest in AI and LLMs. Bring examples of any relevant projects or research you've done. This could be anything from personal projects to contributions in open-source AI tools. It’ll help you stand out as someone who’s genuinely excited about the field.
✨Collaborative Mindset
Highlight your experience working in cross-functional teams. Be prepared to share specific examples of how you’ve partnered with engineering, security, or product teams to deliver successful projects. This will showcase your ability to work collaboratively, which is crucial for this role.
✨Prepare Questions
Have a list of thoughtful questions ready to ask your interviewers. Inquire about their current AI initiatives, team dynamics, or challenges they face in scaling their platform. This shows that you’re engaged and interested in how you can contribute to their success.
