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An innovative AI learning company in Munich seeks a talented engineer to design and build cutting-edge AI products. Your role will focus on personalisation in education, involving direct ownership of features that provide measurable student value. Ideal candidates will have experience with LLMs and strong backend programming skills. This position promises rapid advancement and immediate impact on learning outcomes, all while collaborating with a dedicated team in a dynamic environment.
We are building the #1 AI learning companion for 1 billion students globally.
We are building a future where every student on the planet can access, enjoy, and benefit from the highest quality education. Since founding Knowunity straight out of high school in 2020, we've been committed to revolutionising how students learn.
Millions of students already use our AI learning companion weekly. We just raised €27m - Europe’s largest education round in the past three years. The AI learning market is at an inflection point, finally enabling true personalisation at scale, and we're determined to build the first AI learning unicorn in this space.
You will join an elite team of 60 hands-on builders serving 1 billion students worldwide. If we execute on our product vision, you will have built something generational that transforms education globally.
This is your chance to be part of building a generational company.
You have the opportunity to shape how students learn in the future
Engineering is at the core of the company, it really drives knowunity, main character, you can end to end own this revolution yourself across parts such as:
Why this matters: Every AI feature you build gets shipped fast and used by real students - meaning your work has an immediate and measurable effect on learning outcomes, user growth, and product-market fit. You’ll be directly accelerating our core business metrics and impact on students worldwide.
What success looks like: You’ll ship meaningful AI-driven features quickly and iterate based on real usage data. Your technical contributions will be visible in the metrics, boosting usage, retention, and engagement. You’ll help shape a product that students rely on every day, while growing your skills in a team that values speed, autonomy, and ownership. Over time, you’ll be known for building solutions that are not only technically sound, but that truly matter to our mission.
Our Tech Stack
Our app is written in Flutter with Riverpod. Our Golang backend is powered by PostgreSQL and hosted on AWS with Kubernetes. Our AI stack consists of several LLM providers (OpenAI, Gemini, Anthropic, and Mistral), custom routing engines, and fine-tuned models. Our data stack consists of BigQuery and dbt.
Your mindset
You’re the type of person who:
Your track record You’ve worked hands-on with large language models, tuning prompts, integrating APIs, building prototypes, and pushing performance. You’ve shipped code in real-world products and know how to balance speed with quality. You’ve helped turn messy ideas into useful features that delight users and scale with smart engineering.
Must-haves
Not for everyone, everything for the right ones.
We’re not here to coast - we are building something exceptional. We’re a lean team of ambitious people who push hard, move fast, and constantly raise the bar. The real perk is not standard benefits - it’s joining 60 amazing people who challenge you to level up daily. If you’re hungry, thrive under pressure and ready to go the extra mile, this is where you will accelerate your career faster than anywhere else.
Ready to help build the AI learning unicorn?
Click “Apply for this job” and submit your CV and LinkedIn profile.
We encourage applications from exceptional talent regardless of traditional background requirements.
At Knowunity, we actively foster an inclusive and diverse workplace that ensures equal opportunity for all qualified applicants, regardless of nationality, ethnic or national origin, skin color, religion, sex, gender identity or expression, sexual orientation, physical or mental disability, or marital status. Please refrain from including your picture and age with the application.