Education changes lives. But tech hasn’t lived up to its promise for the more than 1 billion students in school around the world - at least not yet. At Kognity, we’re here to change that.

We’re a 125-person EdTech scale-up powering learning in 120+ countries. Our intelligent platform replaces traditional textbooks and combines rich, interactive pedagogy with smart AI and data to help students and teachers thrive — from international schools to US high schools.

Why Kognity is the place to be:

• ✨ Educational Innovation – Build AI-driven solutions that actually make learning better.
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• 🌍 Global Reach – Our platform supports educators and learners in over 120 countries.
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• 🤝 Driven Culture – Work with brilliant, hard-working people who care deeply about what they do.
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• 📈 Real Growth – In every role at Kognity, you will be expected to grow.

What you’ll do:

• 🧠 Design, implement, and scale production-grade LLM systems powering core Kognity features.
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• 🔍 Develop and maintain retrieval-augmented generation (RAG) pipelines for personalized learning content.
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• ⚙️ Establish observability, monitoring, and evaluation pipelines for AI models and services.
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• 💬 Build robust APIs and internal tools that allow product and content teams to leverage AI safely and effectively.
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• 🧱 Lead architectural decisions balancing latency, cost, and quality for large-scale AI deployments.
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• 🤝 Collaborate cross-functionally with product, strategy, and content teams to translate educational vision into scalable AI solutions.

What we’re looking for:

• 💻 Proven hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and embedding models in production environments.
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• 🧩 Strong software engineering foundation with Python (FastAPI, async patterns) and CI/CD for ML/AI systems.
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• 🧠 Expertise in LLM-ops, tracing/debugging tools (e.g., Langfuse, LangSmith), caching, and fallback strategies.
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• 🧭 Pragmatic mindset – knows when to build vs. buy and how to design maintainable, high-impact architectures.
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• 🎓 Educator mindset – able to level up peers in LLM best practices and share knowledge across teams.
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• 🤖 A curiosity for AI and a drive to experiment with new tools to enhance creativity, decisions, and execution.

Our tech stack:

• 🔗 Langchain framework
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• 🧪 Langsmith
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• ⚙️ n8n workflows builder
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• 🤖 OpenAI
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• 🧠 Anthropic
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• ☁️ Heroku cloud service
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• 🐍 Python
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• 💻 Claude Code
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• ✈️ Microsoft Copilot

Our Interview Process

Our hiring process is all about you. Show us your skills, tackle real-world challenges, and get a real feel for life at Kognity. Expect case studies, honest conversations, and plenty of chances to shine.

• 📞 Discovery Call with a Recruiter – A friendly chat to explore if the role and company are a good mutual fit.
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• 🤝 Hiring Manager Hangout – Deep dive into the role and share your experience.
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• 💡 Code review session – Walk through real code together to understand how you think and write software.
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• 📝 AI Architectural session – Solve a real-world problem with practical impact.
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• 🌟 Values Interview – Share your approach and ways of thinking in relation to our values.
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• 🚀 Leadership Discussion – Connect with our CTO to talk about big ideas and how you can grow with us.

Our Values

• 🏅 We take ownership – We take initiative and act with self-leadership. We don’t wait for someone else to solve problems we see.
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• 🤖 We leverage AI – We apply AI to enhance creativity, decisions, and execution to allow for impact maximisation.
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• 💡 We drive customer value – Success for our customers drives our progress. We create value for them in everything we do.
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• 🗣️ We are transparent – We are radically transparent with opinions and feedback, and we share information widely.
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• 💙 We take care of ourselves and each other – We work hard and passionately, but also prioritise our own well-being, and that of our colleagues.

Benefits

• 🏢 Truly hybrid – Work from our Stockholm office when you like
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• 📈 ITP Pension Plan – With Nordnet
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• 💪 Wellness budget – 5,000 SEK/year to spend on health-related services
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• 🌴 30 vacation days – Paid, every year
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• 🤒 Sick leave – Full pay from day one

Every qualified person will be evaluated regardless of age, gender, identity, nationality, ethnicity, sexual orientation, disability status or religion. We’re committed to building a diverse, inclusive team and welcome people of all backgrounds, experiences, perspectives, and abilities.