The Opportunity

In this role, you’ll architect and build the core logic that powers how a company’s brain operates – ensuring the Qontext platform provides high-performance, context-aware data to AI agents in real-time.

You’ll be responsible for the backend of our platform: from building complex data connectors and ingestion pipelines to designing the APIs that expose our platform to LLM-powered applications. You won't just be managing servers; you'll be writing the code that solves deep data-consistency and retrieval challenges.

Qontext is already being used by 10+ design partners, and we are aiming to launch v0 of our platform in Q1 2026. If you enjoy building scalable application logic from first principles and shipping products that define a new category, this role is for you.

What You’ll Do

• Architect and develop robust backend services using TypeScript and Python that form the core of the Qontext intelligence layer.

• Build and optimize data ingestion engines that interface with external APIs (e.g., HubSpot, Notion, Slack) to sync and transform data for AI consumption.

• Design and implement scalable APIs and orchestration logic for our customer-specific knowledge graphs.

• Collaborate on data modeling to ensure high-speed retrieval and relevance for RAG (Retrieval-Augmented Generation) workflows.

• Write clean, maintainable, and highly-tested code that can scale from 10 design partners to thousands of enterprise users.

You’ll Thrive Here If You…

• Love designing complex application logic and working with distributed systems (queues, caches, and microservices).

• Are fluent in TypeScript and/or Python, with a deep understanding of asynchronous programming and API design.

• Have a strong interest (or experience) in graph databases or vector stores and how they power the modern AI stack.

• Value code quality and system reliability – you take pride in shipping features that don't break under load.

• Thrive in an early-stage, low-ego, high-ownership environment where you have a direct seat at the product-design table.

Why Join Us

• Challenge: Highly complex intellectual & logical challenge

• Cutting Edge: Turning latest research into a product used by the masses

• Mission: Build the foundational context infrastructure for AI processes

• Impact: Shape the company and architecture from day one

• Ownership: Competitive salary + meaningful early equity

• Culture: Deep-tech mindset, transparency, radical candor and fast execution

Process

1. Get to know each other – 30 min

2. Technical interview – 30 min

3. Technical take-home case – 3 h

4. Case discussion – 45 min

5. Offer

Practical Info

• Location: Berlin

• Start date: ASAP

• Type: Full-time

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