We’re building the independent context layer for AI – a missing piece of infrastructure that allows every AI process in a company to act on relevant and up-to-date context.
We’re a fast-moving, well-funded team based in Berlin, backed by HV Capital, Zero Prime and the founders of n8n, neo4j, Cognigy, make.com, Celonis and Nabla.
In this role, you will work as a software engineering intern on the core product that powers how companies turn their distributed knowledge into digestible context for all their AI processes.
You will work closely with our founders and first full-time hires (platform engineer, product designer, AI/ML engineer) on real product work, not side projects. Depending on your strengths, you might touch anything from ingestion and retrieval pipelines to product features that expose context to users.
Qontext is already getting used by 10+ design partners and we are aiming to launch v1 of our platform in Q2 2026.
If you enjoy deep technical challenges, working from first principles, and shipping products that define a new category – this role is for you.
What You’ll Do
Work on well scoped product and platform projects together with our founder
Build and improve features across our stack, for example small product surfaces that help users control and validate context
Contribute to backend services in TypeScript or Python, such as ingestion, retrieval, queuing or evals, depending on your interests and strengths
Help improve our developer experience by cleaning up interfaces, writing tests and adding small quality of life improvements across the codebase
Take ownership of at least one end to end project during your internship, from idea and design to implementation, shipping and iteration based on user feedback
You’ll Thrive Here If You…
Love building distributed systems and tackling high-complexity logic problems
Enjoy turning research and theory into production-grade products
Have a bias for ownership, and thrive in fast-paced, early-stage environments
Are endlessly curious, pragmatic, and care about how AI can be made truly useful
Why Join Us
Challenge: Highly complex intellectual & logical challenge
Cutting Edge: Turning latest research into a product used by the masses
Mission: Build the foundational context infrastructure for AI processes
Impact: Shape the company and architecture from day one
Ownership: Competitive salary + meaningful early equity
Culture: Deep-tech mindset, transparency, radical candor and fast execution
Process
Get to know each other – 30 min
Technical interview – 30 min
Technical take-home case – 3 h
Case discussion – 45 min
Offer
Practical Info
Location: Berlin
Start date: ASAP
Type: Full-time for 3-6 months
Skills Required
- Experience with TypeScript or Python
- Ability to build distributed systems
- Strong problem-solving skills
What We Do
Qontext builds the foundational context infrastructure for AI processes, acting as the context layer for AI applications.
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