Backend Engineer

Qontext

Berlin

Vor Ort

EUR 80.000 - 120.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Equity package
Competitive salary
Challenging intellectual problems

Zusammenfassung

Qontext in Berlin is seeking a talented individual to architect and build a self-maintaining context repository. The role involves deep backend work, ensuring data consistency and retrieval for AI systems.

The successful candidate will thrive in a dynamic environment, focusing on distributed systems, database design, and API security. The position offers a competitive salary between €80k - €120k along with an equity package.

Qualifikationen

  • Fluent in TypeScript and/or Python with a focus on asynchronous programming.
  • Experience with databases, especially graph or vector stores.
  • Strong understanding of distributed systems and concurrency.

Aufgaben

  • Design the data model and database systems for the context repository.
  • Build versioning and automatic change reconciliation.
  • Own the sync infrastructure for reliable data loading.
  • Optimize hybrid search and ranking retrieval times.
  • Develop permission-aware APIs with a focus on security.
  • Write scalable, clean, and well-tested code.

Kenntnisse

TypeScript
Python
Distributed systems
Asynchronous programming
API design
Database knowledge

Jobbeschreibung

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
  1. Get to know each other · 30 min

  2. Chat with co-founder(s) · 30 min

  3. Technical interview · 1h

  4. Take-home case · 3h

  5. Case discussion · 1h

  6. Offer

Practical Info
  • Location: Berlin

  • Start date: ASAP

  • Type: Full-time

  • Compensation: €80k - €120k + equity package

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