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: Competitive salary, stock options, 25 days leave, and exciting company socials.
- Other info: Be part of a dynamic team with immense growth potential in a fast-paced environment.
- Why this job: Shape the future of finance and work on groundbreaking AI technology.
- Qualifications: Strong systems engineering background and passion for AI development.
The predicted salary is between 63000 - 77000 £ 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 Gen AI 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 Open AI, Anthropic, and Deep Seek.
- 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.
- Join the rocket ship while it’s taking off 🚀
- #J-18808-Ljbffr
AI Platform Engineer employer: Light
At Light, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in a dynamic work environment. Our culture is built on the principles of craftsmanship and rapid execution, offering employees the chance to shape a market-defining product while enjoying competitive salaries, generous leave policies, and engaging team activities. As part of our early team, you'll have unparalleled opportunities for professional growth and the freedom to drive impactful outcomes in the exciting field of AI-driven finance.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Light or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Light.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Light.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Light that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Platform Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Light.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Light and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Light
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Light uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
