San Francisco Bay Area On-site Employment $150K – $180K

Mem0 is hiring a Backend Engineer

About the Role

About the Role

Role details below.

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.

Requirements

  • 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.

Nice to Have

  • 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.

Benefits

  • We are backed by top-tier investors and are well capitalized.
  • Hallway chats, impromptu whiteboard sessions, and shared meals spark ideas that remote calls can't.
  • We build for the long term, not just shipping features. We move fast but never sacrifice reliability or thoughtful design - every system needs to be fast, reliable, and elegant.
  • Everyone at Mem0 is a builder-owner. If you spot a problem or opportunity, you have the agency to fix it. Titles are light; impact is heavy.
  • We hire for talent and potential, then give people room to run. Code is reviewed, ideas are challenged, and wins are celebrated—always with respect and curiosity.
  • The best solution wins, whether it comes from a founder or an engineer who joined yesterday. We let results and metrics guide our decisions.
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About company
Mem0

Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.

Mem0 gives agents persistent memory without pipeline changes. Less redundant context, lower token costs, measurably faster responses.

Mem0 helps AI remember what matters. It extracts and updates memories, then retrieves key memories as users interact, enabling personalized and context-aware AI experiences across domains like healthcare, education, e-commerce, and customer support.

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Job Details
Department Engineering
Category backend
Posted 3 months ago