Memory layer for AI apps and agents
Mem0 builds a memory infrastructure layer for LLM applications and AI agents. It enables persistent storage and retrieval of user interactions using a hybrid datastore of graph, vector, and key-value stores. This allows developers to create personalized, cost-efficient AI experiences that improve over time without stateless limitations.
Own developer experience and community growth for Mem0's open-source memory layer for AI agents. Create technical content, build integrations and demos, engage the 150k+ developer community on GitHub/Discord, gather feedback for the product roadmap, and represent the company at events.
Forward Deployed Engineer embedding with strategic customers to design, build, and ship Mem0 memory API integrations into AI agents. Translate field learnings into product roadmap while owning technical relationships and troubleshooting production issues. Requires 4+ years production software experience and customer-facing technical background.
Own the end-to-end lifecycle of memory features for AI agents. Fine-tune models, implement research, build evaluations, and ship production systems with Engineering.
Owns end-to-end lifecycle of memory features in AI systems, fine-tuning LLMs for extraction/updates/forgetting, implementing research papers, building large-scale evaluations, and shipping production models with engineering. Requires RAG/IR experience, PyTorch proficiency, and production ML expertise.
Builds end-to-end features for Mem0's memory platform using Next.js/React for UI and Python for backend, optimizing for scale, speed, and reliability. Collaborates with design, research, and customers while owning production operations and code quality.