At a Glance
- Tasks: Build innovative AI solutions that transform financial operations for global companies.
- Company: Join a dynamic startup redefining finance with cutting-edge technology.
- Benefits: Competitive salary, stock options, 25 days leave, and regular team socials.
- Other info: Great career growth opportunities in a fast-paced, collaborative environment.
- Why this job: Make a real impact in fintech while working with the latest AI tools.
- Qualifications: Experience in software development and a passion for AI-driven solutions.
The predicted salary is between 60000 - 80000 € per year.
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 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.
This AI Engineer role
We're looking for builders who can take a customer problem from idea to production, wherever in the stack it lives. At Light, AI writes code and the bottleneck has shifted from writing to thinking, so we want engineers who work end‑to‑end and ship things that matter. We are primarily hiring at mid‑level for this role. Junior candidates who are exceptional and genuinely AI‑native are welcome. Senior candidates will be considered by exception; we have strong technical leadership and the bar is high.
Your qualifications
- You build things. Not prototypes, not demos. Working software in production, doing something real for real users. This is the non‑negotiable.
- You're genuinely AI‑native. You've changed the way you work because of AI tooling, not just added it to your workflow. You have an instinct for where it helps, where it misleads, and how to use it without losing ownership of the outcome.
- You've built with LLMs. You have hands‑on experience building products or features on top of large language models. Agents are a bonus, but working knowledge of how LLMs behave in production is a must.
- You're comfortable across the stack. You don't need to be a specialist in everything, but you can't have a lane you refuse to leave. Our stack is Kotlin and React. If you're strong in one and curious about the rest, that works. If you need someone else to handle the other side of the feature, it doesn't.
- You care about the product. You think about the person on the other end. You notice when something feels clunky, even if it technically works. You have opinions about what good software feels like and you act on them.
- You ship early and often. Small batches. Learn. Go again. You're not precious about your work. You'd rather put something real in front of a customer than spend another week perfecting it in isolation.
Bonus points
- Experience in fintech or systems where data integrity is non‑negotiable
- Familiarity with accounting concepts: debits, credits, reconciliation
- Background in high‑growth startups where everything was still being figured out
Our Tech Stack
We build on AWS, with a Kotlin backend, a React frontend, and infrastructure managed in Terraform. It's a real production system that global finance teams depend on every day. You don't need to have used every piece of it. You do need to be comfortable in this kind of environment: real scale, real customers, real stakes.
The good stuff
- A competitive salary + potential stock options
- 25 days of annual leave + public holidays in the country where you are based.
- Regular socials and company off‑sites
- A huge opportunity for career growth as you'll help shape a market‑defining product.
Working at Light means you're embarking on an exciting journey to reshape the future of multinational financial operations. Our goal is to make global finance effortless and empower companies to make informed decisions.
AI Engineer employer: Light
At Light, we are not just redefining financial software; we are creating a vibrant work culture where innovation thrives and every team member's contribution is valued. As an AI Engineer, you will enjoy competitive salaries, stock options, and generous leave policies while working alongside passionate individuals who are committed to crafting meaningful solutions for our clients. With ample opportunities for career growth and the chance to shape a market-defining product, Light is the perfect place for those eager to make a real impact in the world of finance.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Get your networking game on! Connect with folks in the industry, attend meetups, and engage in online communities. The more people you know, the better your chances of landing that AI Engineer role at Light.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or fintech. When you apply through our website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for the interview like it’s a hackathon! Brush up on your knowledge of Kotlin and React, and be ready to discuss how you've used AI in your projects. We love candidates who can think on their feet and demonstrate their problem-solving skills.
✨Tip Number 4
Don’t be shy about following up! After your interview, drop a quick thank-you note to express your appreciation. It shows us you’re genuinely interested in the role and helps keep you top of mind as we make our decisions.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show Us Your Real Work:When you apply, make sure to highlight the actual software you've built. We want to see your hands-on experience with working products, not just prototypes or demos. Show us how you've tackled real user problems!
Be AI-Native:Let us know how you've integrated AI into your workflow. We're looking for candidates who have genuinely changed their approach because of AI tools. Share specific examples of how you've used LLMs and what impact they've had on your projects.
Get Comfortable Across the Stack:While you don’t need to be an expert in everything, we love engineers who are curious and willing to learn. If you're strong in Kotlin or React, let us know how you've navigated between different parts of the stack in your previous work.
Think About the User Experience:We care about the end-user experience, so show us that you do too! Share your thoughts on what makes good software and how you've acted on those opinions in your past projects. We want to see your passion for creating enjoyable products!
How to prepare for a job interview at Light
✨Know Your Stuff
Make sure you’re well-versed in AI and LLMs. Be ready to discuss your hands-on experience with these technologies, especially how you've used them to solve real customer problems. Prepare examples of projects where you’ve built working software, not just prototypes.
✨Show Your Passion for Product
Light values engineers who care about the end-user experience. Think about how your work impacts users and be prepared to share your thoughts on what makes good software. Highlight any instances where you’ve improved a product based on user feedback.
✨Be Ready to Discuss the Tech Stack
Familiarise yourself with Kotlin, React, and AWS, as well as Terraform. While you don’t need to be an expert in everything, show that you’re comfortable across the stack and willing to learn. Bring up any relevant experiences where you’ve had to adapt to different technologies.
✨Embrace the Agile Mindset
Light appreciates candidates who ship early and often. Share your experiences with iterative development and how you’ve learned from feedback. Discuss how you balance speed with quality, and be ready to talk about times when you’ve put something in front of users to gather insights.