Backend Engineer - Mem0

David Joseph & Company
San Francisco, CA, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$200,000.0 - $300,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Cloud Computing Data Infrastructure Django Web Framework Graph Database Python (Programming Language) PostgreSQL MySQL Neo4j SQL Databases
+6 more
Flask (Web Framework) Backend Fastapi Kubernetes Restful APIs Docker

Job description

Founding-level backend engineer owning the core infrastructure powering an AI memory platform. Full ownership of APIs, data modeling, and production systems at scale. High expectation for end-to-end ownership from architecture through incident resolution and system hardening., * Build and own core backend APIs and data infrastructure

  • Design and optimize data models for high-throughput AI memory systems
  • Own production systems end-to-end including incident handling and system hardening
  • Work with graph databases (Neo4j or similar) and vector storage
  • Architect and scale systems handling millions of requests
  • Work directly with founders in a high-intensity environment

Requirements

Do you have experience in SQL?, * 5 to 8 years building backend systems and shipping REST APIs to production

  • Strong Python with async experience
  • Hands-on with FastAPI, Django, or Flask
  • Deep SQL and data modeling experience (PostgreSQL or MySQL)
  • Experience with graph databases (Neo4j or similar)
  • Cloud infrastructure experience (AWS, Docker, Kubernetes)
  • Proven ownership of production systems and incident handling

Benefits & conditions

$200,000 - $300,000 a year - Full-time

About the company

Mem0 is building the AI memory platform - core infrastructure powering persistent memory for AI systems. Founding-level backend engineer owning APIs, data modeling, and production systems at scale.

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Good distractions

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