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’ll design and scale the backend systems that power how a company’s “brain” functions – the logic that lets AI reason over live company knowledge instead of static data.
You’ll own the architecture behind our ingestion and retrieval layers, transforming unstructured information into structured, queryable context. Your work will directly define how AI systems across our customers’ organizations access relevant, up-to-date context in real time.
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.
Design and implement the core backend logic of our AI context engine
Build and optimize our data ingestion pipeline – transforming raw tool data into structured knowledge graphs
Develop high-performance retrieval and ranking systems, combining vector search, rule-based logic, and entity recognition
Productize complex processes via APIs and modular components (MCP, SDK)
Create evaluation and experimentation frameworks to continuously improve performance and contextual accuracy
Love building distributed systems and tackling high-complexity logic problems
Are fluent in TypeScript or Python and have an eye for clean, scalable architecture
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
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
Get to know each other – 30 min
Technical interview – 30 min
Technical take-home case – 3 h
Case discussion – 45 min
Offer
Location: Berlin
Start date: ASAP
Type: Full-time
Compensation: €65k - €100k + equity package
qontext