At a Glance
- Tasks: Architect and build a cutting-edge AI Engine for our innovative financial platform.
- Company: Join Light, a pioneering tech company redefining finance with modern software solutions.
- Benefits: Enjoy competitive salary, stock options, 25 days leave, and vibrant company culture.
- Other info: Be part of a dynamic team with immense growth opportunities in a fast-paced environment.
- Why this job: Shape the future of finance with groundbreaking AI technology and impactful projects.
- Qualifications: Strong systems engineering background and passion for AI development.
The predicted salary is between 36000 - 60000 £ per year.
About Light. Light exists to replace factory-era ERPs with software that feels alive. Our Smart Financial Platform gives modern, global companies superpowers—automated accounting, real-time reporting, and financial flows that move at the speed of the business. We build with our customers, ship fast, and obsess over craft. In a short time, Light has gone from idea to the operating core for leading companies like Lovable, Legora, and Keyshot. People don’t just use Light—they enjoy it. We’re an early team defining a new software category. Think engineers who love debits and credits, designers who care about reconciliation states, and operators who treat finance as a product. If you’re excited to modernize how the world runs money—one workflow at a time—you’re in the right place. Backed by world-class investors and advised by industry titans, we’re building category-defining products with the freedom to ship ambitiously and own outcomes. Come help us make Light the global default for next-gen finance.
The AI Platform Engineer Role
You will join the Foundation Team, the force multiplier for our entire engineering organization. Our mandate is to "build the factory that builds the product." As a Senior AI Platform Engineer, you will not just be tuning prompts, you will be architecting the internal "AI Engine" that powers every AI feature at Light. We are looking for a systems thinker who is obsessed with the bleeding edge of AI but grounded in the reality of production engineering. You will help us move beyond simple API wrappers to build a robust Agent Runtime, define our internal standards for AI reliability, and ensure our product teams can ship deterministic, high-quality AI features in days rather than weeks.
What you will do:
- Architect the Engine: Design and build a production-grade Agent Runtime that handles tool registration, permissions, timeouts, and retry semantics for autonomous agents.
- Define the Standard: Evolve our internal GenAI Client and SDKs to create a "paved road" for product engineers, standardizing how every team at Light interacts with LLMs.
- Solve for Trust: Build the "CI/CD for AI", implementing reliability frameworks, golden datasets, and regression testing pipelines that allow us to deploy prompts and agents with confidence.
- Expand the Ecosystem: Lead the integration of Light with external platforms via the Model Context Protocol (MCP) and automation tools like n8n.
- Governance & Scale: Design the guardrails, rate limits, and caching strategies that ensure our AI infrastructure scales predictably and cost-effectively.
What you will need:
- Strong Systems Engineering Background: You have significant experience building scalable backend systems or internal developer platforms. You care deeply about latency, observability, and clean APIs.
- AI Native Mindset: You live on the bleeding edge of the AI landscape. You understand the difference between an Agent and a Chain, you have experimented with MCP, and you keep up with the latest releases from OpenAI, Anthropic, and DeepSeek.
- Polyglot Capabilities: You are proficient in Kotlin (our core backend language) or have a strong willingness to learn it.
- Focus on Determinism: You hate flaky software. You understand that trust is the biggest bottleneck to AI adoption, and you know how to build the evaluations and logging necessary to generate that trust.
- Force Multiplier Attitude: You get more satisfaction from unblocking 10 other engineers with a great tool than from shipping a single feature yourself.
The good stuff:
- 💸 Competitive salary + potential stock options
- 🏝 25 days of annual leave + public holidays (in your country)
- 🥳 Regular socials and company off‑sites.
- 🚀 A huge opportunity to shape a market‑defining product and engineering culture
The famous last words: At Light, we’re building the most trusted financial platform in the world — and trust starts with security. As our Security Lead, you’ll help us earn that trust every day. Join the rocket ship while it’s taking off 🚀
AI Platform Engineer employer: Light
At Light, we pride ourselves on being an innovative employer that values creativity and collaboration. Our remote work culture fosters a supportive environment where you can thrive, with ample opportunities for personal and professional growth as we redefine the finance function together. Join us in shaping the future of finance while enjoying competitive benefits, including a competitive salary, potential stock options, and generous annual leave.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and showcasing your passion for AI and systems engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Show off your projects! Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart. We love seeing how candidates have tackled real-world problems with their skills.
✨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 on the lookout for passionate individuals who want to help us redefine finance.
We think you need these skills to ace AI Platform Engineer
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! We want to see how you stay on top of the latest trends and technologies in the AI landscape. Share any projects or experiences that highlight your passion and expertise.
Tailor Your Application:Make sure to customise your application to fit the role of AI Platform Engineer. Highlight your systems engineering background and any relevant experience with scalable backend systems. We love seeing how your skills align with what we're building at Light!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your ideas effectively. This will help us understand your thought process and how you approach problem-solving.
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we can't wait to see what you bring to the table!
How to prepare for a job interview at Light
✨Know Your AI Stuff
Make sure you’re up to speed with the latest in AI, especially around concepts like Agents and Chains. Brush up on your knowledge of tools like MCP and be ready to discuss how they can enhance production engineering.
✨Show Off Your Systems Engineering Skills
Prepare to talk about your experience with scalable backend systems. Be specific about projects where you’ve tackled latency issues or improved observability. This is your chance to demonstrate your strong systems engineering background!
✨Emphasise Teamwork and Support
Light values a force multiplier attitude, so share examples of how you’ve helped unblock other engineers or contributed to team success. Highlighting your collaborative spirit will resonate well with their culture.
✨Be Ready for Technical Challenges
Expect some technical questions or challenges during the interview. Practice coding problems or system design scenarios that relate to building robust AI features. This will show you’re not just a thinker but also a doer!