AI Engineer
Qontext
AI Engineer
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.
You'll design and scale the backend that powers a company's brain, the logic that lets AI reason over live company knowledge instead of static data.
You'll own the architecture behind sync and retrieval: turning unstructured information from every data source into a structured, versioned, queryable context repository. Your work defines how AI systems across our customers' organizations reach relevant, up-to-date, permission-aware context in real time.
We're already live with 15+ design partners and launching v1 in Q3 2026. This is the rare moment where the product, the architecture, and the category are still yours to shape. We think of Qontext as a once-in-a-lifetime opportunity, and we hire people who feel the same.
Design and implement the core backend logic of the context repository
Build and optimize the sync, turning raw data source data into structured, graph-based context
Develop high-performance retrieval and ranking, combining hybrid search, rule-based logic, and identity resolution
Productize complex logic through clean APIs and modular components (MCP, CLI, API, etc.)
Build evaluation and experimentation frameworks that continuously raise contextual accuracy
Love distributed systems and high-complexity logic problems
Are fluent in TypeScript or Python and have an eye for clean, scalable architecture
Turn research and theory into production-grade product
Have a bias for ownership and thrive in fast-paced, early-stage environments
Are endlessly curious and pragmatic, and care about making AI truly useful
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
Compensation: €65k - €100k + equity package
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