Backend Engineer
Qontext
Backend 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 architect and build the core of the context repository: the database, the versioning, and the retrieval that let AI agents reach correct, permission-aware company knowledge in real time.
This is deep backend work. You'll own the systems that keep context consistent and trustworthy at scale, from File versions and Change reviews to Automatic Change Reconciliation, and the Sync infrastructure that keeps the context repository up to date.
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 the data model and database systems at the core of the context repository
Build versioning, change reviews, and automatic change reconciliation that keep context consistent and auditable
Own the sync infrastructure that loads and reconciles data from every data source reliably
Drive down retrieval times for hybrid search and ranking at scale
Build the permission-aware APIs that expose context to Clients, with security as a first principle
Write clean, well-tested code that scales from 15 design partners to thousands of enterprise users
Love distributed systems and the hard parts: consistency, concurrency, caching, queues
Are fluent in TypeScript and/or Python, with deep command of asynchronous programming and API design
Know your way around databases, and ideally graph or vector stores, and how they power the modern AI stack
Take pride in reliability and security, and ship features that don't break under load
Thrive in an early-stage, low-ego, high-ownership environment with a direct seat at the product table
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: €80k - €120k + 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