Software Engineer Intern
Qontext
Software Engineer Intern
Qontext
AI context layer with unified data
We're building the self-maintaining source of truth for the AI-native company, the context repository that keeps company knowledge structured, up-to-date, permission-aware, and ready for every AI agent.
That takes people who are exceptionally talented, obsessed by the vision, and set on doing the best work of their lives. If that's you, read on.
We're building the self-maintaining source of truth for the AI-native company, the context repository that keeps company knowledge structured, up-to-date, permission-aware, and ready for every AI agent.
We hire people who are exceptionally talented, obsessed by the vision, and set on doing the best work of their lives.
You'll work shoulder to shoulder with our founders and first full-time hires on real product, shipped to real users. No busywork, no side projects kept far from the codebase.
Depending on your strengths, you go deep in one of four areas:
Database: The data model, versioning, and consistency at the core of the context repository.
Platform: The DevOps backbone: Deployment, scalability, and reliability that keep the platform fast and always up.
Product: The surfaces where users control access controls, run change reviews, and shape their context.
Applied AI: MCP clients, evals, and the agent workflows that turn the repository into something AI can actually use.
We're already live with 15+ design partners and launching v1 in Q3 2026. The architecture, the product, and the category are still being decided. You'll help decide them.
Own at least one project end to end, from idea and design to shipping and iterating on user feedback
Ship features across the stack in TypeScript or Python, in the area that fits you best
Move fast and keep quality high: write tests, sharpen interfaces, and leave the codebase better than you found it
Take real responsibility from week one and push your work over the line yourself
Have raw drive and outwork the room, because you want to, not because anyone asks
Love distributed systems and hard logic problems, and chase the root of things
Turn research and theory into production-grade product
Are endlessly curious and pragmatic, and obsessed with making AI truly useful
Want ownership and the pressure that comes with it, in a fast-paced early-stage team
Challenge: A genuinely hard intellectual and systems problem
Cutting edge: Turning the latest research into a product used at scale
Mission: Building the infrastructure for the next generation of work
Impact: Shape the company and architecture from day one
Ownership: Competitive salary plus meaningful early equity
Culture: Deep-tech mindset, transparency, radical candor and fast execution
Get to know each other · 30 min
Chat with co-founder(s) · 30 min
Technical interview · 1h
Take-home case · 3h
Case discussion · 1h
Offer
Location: Berlin
Start date: ASAP
Type: Full-time for 3-6 months
Qontext provides an independent context layer for AI by centralizing and continuously updating business context. It ingests data from CRMs, documents, chat systems, and other sources to create Context Vaults, a live, structured graph of interconnected entities accessible via a single API. This context layer can be used by any AI model or tool, without vendor lock-in, to make AI processes context-aware from day one. By supplying a unified, up-to-date knowledge base about customers, products, and processes, Qontext enables workflows, agents, and applications to run with consistent, relevant context. The platform is GDPR compliant and designed to work across departments such as marketing, sales, and customer support, positioning the company as infrastructure for enterprise AI. Its goal is to reduce fragmentation of business knowledge, improving the reliability, scalability, and governance of AI applications through reusable context data and a data-graph approach.
Explore more opportunities at Qontext