(Applied) AI Engineer
Design the intelligence that keeps company knowledge true.
Team
Engineering
Type
Full-time
Location
Berlin
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 design and scale the intelligence that powers a company's brain, the agents that let AI reason over live company knowledge instead of static data.
At the heart of this is a hard, unsolved problem: building agents that dynamically construct the context repository and keep it up to date. They don't just ingest data once, they work interactively with the users on the platform, so the repository always reflects the living reality of our customers' organizations, not a stale snapshot. You'll own the architecture behind this: turning unstructured information from every data source into a structured, versioned, queryable context repository, and building the agentic systems that keep it alive. Your work defines how AI reaches 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.
What You’ll Do
Design and build agents that dynamically construct, curate, and continuously refresh the context repository
Close the loop with users to validate, correct, and enrich context so the repository reflects the true state of a customer's organization
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
You’ll Thrive Here If You…
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
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: €65k - €120k + equity package
Open roles
Product Engineer
Design and build the interface where companies manage their agent-first source of truth.
Engineering
/
Full-time
/
Berlin
Apply
(Applied) AI Engineer
Design the intelligence that keeps company knowledge true.
Engineering
/
Full-time
/
Berlin
Apply
Backend Engineer
Architect and build the core logic behind Qontext.
Engineering
/
Full-time
/
Berlin
Apply
Software Engineering Intern
Work on the core product of the context layer for AI.
Engineering
/
Internship
/
Berlin
Apply
Founder’s Associate Intern
Work very closely with our co-founder across several initiatives and projects.
Business
/
Internship
/
Berlin
Apply
Unsolicited Application
If you did not find a matching open role, but are excited about bringing context into every AI process, please apply here.
Engineering
/
Full-time
/
Berlin
Apply