
1 - 10 employees
Founded 2023
đĽ Healthcare
đŁ Marketing
đź Consulting
Healthcare ⢠Marketing ⢠Consulting
Mem0 is a universal, self-improving memory layer for large language model (LLM) applications that enables persistent, personalized context across AI interactions. It provides a memory compression engine to reduce token usage and latency, developer-friendly one-line installs and APIs, and enterprise features such as SOC 2/HIPAA compliance, BYOK, and onâprem/private cloud deployment. Mem0 targets developers and enterprises building personalized AI experiences across healthcare, education, e-commerce, customer support, and sales, offering observability, traceability, and local-first options (OpenMemory) for consumer privacy.
đĽ 0 minutes ago
đŽđł India â Remote
â° Full Time
đĄ Mid-level
đ Senior
đ Backend Engineer
đť Ghost score 15%
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1 - 10 employees
Founded 2023
đĽ Healthcare
đŁ Marketing
đź Consulting
Healthcare ⢠Marketing ⢠Consulting
Mem0 is a universal, self-improving memory layer for large language model (LLM) applications that enables persistent, personalized context across AI interactions. It provides a memory compression engine to reduce token usage and latency, developer-friendly one-line installs and APIs, and enterprise features such as SOC 2/HIPAA compliance, BYOK, and onâprem/private cloud deployment. Mem0 targets developers and enterprises building personalized AI experiences across healthcare, education, e-commerce, customer support, and sales, offering observability, traceability, and local-first options (OpenMemory) for consumer privacy.
⢠Design and ship REST APIs, including contracts, versioning, authentication, rate limits, migrations, and documentation ⢠Model data and schemas across relational and graph databases, enforcing integrity and performance ⢠Debug customer issues end to end using logs, metrics, and traces; reproduce issues, fix them, and create preventative guardrails ⢠Optimize performance using SQL tuning, EXPLAIN/ANALYZE, indexes, partitioning, pagination, and caching such as Redis ⢠Build Python services using async programming where appropriate, with FastAPI, Django/DRF, or Flask ⢠Develop background jobs, queues, and schedulers ⢠Containerize services with Docker and deploy on Kubernetes/EKS ⢠Operate services using AWS primitives including EC2, RDS/Aurora, S3, and IAM ⢠Instrument systems with custom metrics, structured logging, and tracing ⢠Set SLOs and alerts using CloudWatch, Prometheus, and OpenTelemetry ⢠Collaborate with frontend and research teams to scope APIs and deliver production features ⢠Report directly to Deshraj Yadav, Co-founder and CTO ⢠Work closely with the engineering team in San Francisco
⢠5+ years building backend systems and shipping REST APIs to production ⢠Strong Python fundamentals ⢠Experience with async programming and a major web framework (FastAPI/Django/Flask) ⢠Solid data modeling and SQL skills ⢠Hands-on experience with query tuning and performance debugging in Postgres/MySQL ⢠Experience with graph databases (e.g. Neo4j or Amazon Neptune) ⢠Comfortable running services on AWS with Docker and Kubernetes ⢠Demonstrated root-cause analysis and ownership from incident to prevention ⢠Clear communication and effective collaboration with frontend, research, and customers ⢠GraphQL/gRPC experience is nice to have ⢠Event-driven systems (SNS/SQS/Kafka) and background workers (Celery/RQ) experience is nice to have ⢠Caching, rate limiting, multi-tenancy, and feature-flag strategy experience is nice to have ⢠Security and privacy best practices experience is nice to have ⢠Deep observability experience is nice to have ⢠Prior work with search/retrieval or memory systems is nice to have ⢠On-call experience and running blameless postmortems is nice to have ⢠Prior time at an early-stage startup is nice to have
⢠$24M Series A & Seed backing ⢠Early-stage startup environment ⢠High autonomy and agency to fix problems ⢠High trust and room to run ⢠Code review, idea challenges, and celebration of wins ⢠Opportunity to build long-term foundational systems ⢠Work closely with founders, engineering, frontend, research, and customers
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