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Cognee

AI memory and knowledge graphs

Growth Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeBerlin, GermanyHybrid

About the Job

Requirements

  • At least 3 years of experience with modern frontend frameworks and deploying backend services.
  • Know how to build and deploy Python services using Docker and Modal.
  • Familiarity with agentic frameworks such as OpenClaw and Hermes.
  • Experience with large language model APIs.

Responsibilities

  • Develop and maintain integrations.
  • Implement new features end-to-end.
  • Integrate backend APIs and services.
  • Ensure performance, scalability, and clean architecture.
  • Manage state, routing, authentication, and API flows.
  • Improve the product based on feedback.
  • Be active on social media and help promote Cognee.
  • Work on search engine optimization, generative engine optimization, and performance marketing.
  • Support the design, product, and growth teams; contribute to user experience and usability across integrations; and interact with the community on social channels.
  • Create tutorials, promote Cognee at events, and build demos that clearly demonstrate value to users.

About the Company

Cognee

AI memory and knowledge graphs

Cognee is an AI infrastructure provider based in Berlin that builds a structured memory layer for AI systems and agents. Its open-source stack converts unstructured enterprise data into persistent knowledge graphs and semantic representations so agents can retain context, reason across connected information, and reduce hallucinations compared with stateless retrieval or short context windows. The product helps organizations run knowledge-intensive workloads in regulated domains by maintaining long-term memory and reliable graph-based representations in production. Cognee differentiates itself from competitors by offering a persistent memory layer and knowledge graph technology that keeps context across sessions and data sources, emphasizing enterprise reliability and production-grade deployment. The company’s goal is to enable AI systems to retain context over time, reason across connected information, and operate in real-world enterprise environments at scale.

Company size
11-50
Company stage
Series A
Total funding
$9.2M
Headquarters
Berlin, Germany
Founded
2024

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