
Job description
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.
Design and implement the core backend logic of our AI context engine, build and optimize our data ingestion pipeline, develop high-performance retrieval and ranking systems, productize complex processes via APIs and modular components, and create evaluation and experimentation frameworks.
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.
Company

Tech, Software & IT Services
Qontext is developing a foundational context layer for artificial intelligence applications. The company’s technology provides a centralized, independent system for managing and accessing company-specific data – effectively, the 'company state' – enabling more accurate, reliable, and secure AI performance. Qontext offers a critical infrastructure component for organizations seeking to integrate AI into their core operations. By providing a unified context layer, Qontext empowers developers to build and deploy AI solutions without being constrained by data silos or vendor lock-in, ultimately accelerating AI innovation and delivering greater business value.
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Qontext

Traversal

Paretos

paretos GmbH

Jobgether

Recruiting from Scratch