Mem0 · 23 hours ago
Backend Engineer
Mem0 is building the memory layer for AI agents, enabling AI to remember conversations and learn from interactions. They are seeking a Backend Engineer to design and ship REST APIs, model data, debug customer issues, and optimize performance while collaborating with frontend and research teams.
Artificial Intelligence (AI)Information TechnologyMachine LearningSaaS
Responsibilities
Design & ship REST APIs: Define contracts, versioning, auth, rate limits; write migrations and docs
Model data & schemas: Relational (Postgres) and graph (e.g., Neo4j); enforce integrity and performance
Debug customer issues end-to-end: Trace with logs/metrics/traces, reproduce, fix, and write preventative guardrails
Optimize performance: Tune slow SQL with EXPLAIN/ANALYZE, indexes, partitioning, pagination, and caching (e.g., Redis)
Build services in Python: Async where it helps (FastAPI/Starlette, Django/DRF, Flask), background jobs, queues, schedulers
Operate in the cloud: Containerize with Docker, deploy on Kubernetes (EKS), and use AWS primitives (EC2, RDS/Aurora, S3, IAM)
Instrument everything: Custom metrics, structured logging, tracing; set SLOs and alerts (CloudWatch/Prometheus/OpenTelemetry)
Collaborate & ship: Work with frontend and research to scope APIs and deliver features to production
Qualification
Required
3+ 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 with query tuning and performance debugging in Postgres/MySQL
Experience with graph databases (e.g., Neo4j or Amazon Neptune) and appropriate data modeling trade-offs
Comfortable running services on AWS with Docker and Kubernetes
Demonstrated root-cause analysis and ownership from incident to prevention
Clear communicator and effective collaborator with frontend, research, and customers
Preferred
GraphQL/gRPC; event-driven systems (SNS/SQS/Kafka) and background workers (Celery/RQ)
Caching, rate limiting, multi-tenancy, and feature-flag strategies
Security & privacy best practices (PII handling, secrets management)
Deep observability experience (OpenTelemetry, SLO-based alerting)
Prior work with search/retrieval or memory systems
On-call experience and running blameless postmortems
Company
Mem0
Mem0 is a SaaS company that specializes memory layers for LLM applications.
Funding
Current Stage
Early StageTotal Funding
$24.4MKey Investors
Basis Set VenturesKindred VenturesY Combinator
2025-10-28Series A· $20M
2025-10-28Seed· $3.9M
2024-09-25Pre Seed· $0.5M
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