Backend Engineer
Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Mar 6, 2026. Qontext scores B on the Alion truth index.
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.
The Opportunity
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.
What You’ll Do
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
You’ll Thrive Here If You…
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
Why Join Us
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
Process
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
Practical Info
Location: Berlin
Start date: ASAP
Type: Full-time
Compensation: €80k - €120k + equity package