Backend Engineer – AI/ML

We’re building the independent context layer for AI – a missing piece of infrastructure that allows every AI process in a company to act on relevant and up-to-date context.

We’re a fast-moving, well-funded team based in Berlin, backed by HV Capital, Zero Prime and the founders of n8n, neo4j, Cognigy, make.com, Celonis and Nabla.

The Opportunity

In this role, you’ll design and scale the backend systems that power how a company’s “brain” functions – the logic that lets AI reason over live company knowledge instead of static data.

You’ll own the architecture behind our ingestion and retrieval layers, transforming unstructured information into structured, queryable context. Your work will directly define how AI systems across our customers’ organizations access relevant, up-to-date context in real time.

Qontext is already getting used by 10+ design partners and we are aiming to launch v1 of our platform in Q2 2026.

If you enjoy deep technical challenges, working from first principles, and shipping products that define a new category – this role is for you.

What You’ll Do

• Design and implement the core backend logic of our AI context engine

• Build and optimize our data ingestion pipeline – transforming raw tool data into structured knowledge graphs

• Develop high-performance retrieval and ranking systems, combining vector search, rule-based logic, and entity recognition

• Productize complex processes via APIs and modular components (MCP, SDK)

• Create evaluation and experimentation frameworks to continuously improve performance and contextual accuracy

You’ll Thrive Here If You…

• Love building distributed systems and tackling high-complexity logic problems

• Are fluent in TypeScript or Python and have an eye for clean, scalable architecture

• Enjoy turning research and theory into production-grade products

• Have a bias for ownership, and thrive in fast-paced, early-stage environments

• Are endlessly curious, pragmatic, and care about how AI can be made truly useful

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: €65k - €100k + equity package