Mem0
San Francisco, CA
Memory layer for AI apps and agents
About
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.
Tech stack
Python, Postgres, Docker, Kubernetes, Redis, AWS, GraphQL, FastAPI, Django, Flask, Next.js, React, TypeScript, Neo4j, Kafka
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Open jobs
4Mem0
India
Build and operate the backend platform powering AI-agent memory, including REST APIs, relational and graph data models, Python services, and production infrastructure. The role requires 5+ years of backend experience, strong Python and SQL skills, and hands-on AWS, Docker, and Kubernetes expertise.
Mem0
San Francisco, CA
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.
Mem0
San Francisco, CA
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.
Mem0
San Francisco, CA
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.