---
title: 'Backend Engineer at Mem0'
canonical: 'https://feeny.ai/job/backend-engineer-mem0-india-wkk66hv1tw87'
type: 'job'
last_seen: '2026-09-09'
---

# Backend Engineer at Mem0

- **Company:** Mem0
- **Location:** India
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-08-21
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/mem0/74a4c176-4bbe-4bf7-b471-06573dba05a1

## Job description

## ABOUT MEM0

We're building the memory layer for AI agents: long-term memory that lets AI remember conversations, learn from interactions, and build real context over time, the difference between a chatbot and something that actually knows you. We're already powering millions of AI interactions for enterprise customers and a fast-growing open-source community (160k+ developers and counting).

We're backed by top-tier investors through a $24M Series A & Seed, early enough that the systems you build now become the foundation everything else is built on.

This role owns the backend behind that platform. You'll design clean REST APIs, model data across relational and graph stores, and operate services in production. When customers hit issues, you'll chase them down to root cause, ship fixes, and harden the system, working closely with frontend and research to deliver fast, reliable features.

You'll design the core systems, decide how they're built, and stay with them through production. Our users are developers integrating us into their own agents, which means the APIs you design are the product as far as they're concerned.

This role reports directly to Deshraj Yadav, our Co-founder and CTO, and works closely with the engineering team in San Francisco.

## WHAT YOU'LL DO

- 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 and 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, 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.

## MINIMUM QUALIFICATIONS

- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
- 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 with query tuning and performance debugging in Postgres/MySQL.
- Experience with graph databases (e.g. Neo4j or Amazon Neptune) and the data modeling trade-offs that come with them.
- 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.
- Prior time at an early-stage startup. Series A, YC, or founding engineer experience tells us a lot.

## OUR CULTURE

- Velocity with craftsmanship: 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.
- Extreme ownership: 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.
- High bar, high trust: 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.
- Data-driven, not ego-driven: The best solution wins, whether it comes from a founder or an engineer who joined yesterday. We let results and metrics guide our decisions.

## About Mem0

## Company Overview
- **One-liner**: Mem0 provides a persistent memory layer for AI agents and applications, enabling LLMs to remember user interactions, preferences, and context across sessions.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2023
- **Founders**: Taranjeet Singh (CEO) and Deshraj Yadav (CTO)

## Core Business
- Primary industry: AI Infrastructure / Developer Tools
- Target customers: B2B, Enterprise teams building AI agents and applications
- Mission or purpose: To end AI's digital amnesia by making persistent memory standard infrastructure for every developer — as essential as a database.

## Products & Services
- **Mem0 Memory Layer**: An open-source, production-grade memory infrastructure that stores, compresses, and retrieves user context for AI agents. Uses a hybrid datastore architecture combining graph, vector, and key-value stores to organize memories (facts, relationships, and semantic context).
- **Memory Compression Engine**: Automatically condenses chat history into compact memories, reducing token usage and latency while preserving relevant context.
- **Enterprise Deployment**: Available on Kubernetes, private cloud, or air-gapped environments with the same API.

## Market Standing
- **Valuation/Funding**: Raised $24M total funding (led by Y Combinator, Peak XV, and Basis Set, per TechCrunch, October 2025) [ycombinator.com](https://www.ycombinator.com/companies/mem0)
- **Key Metric**: 58,000+ GitHub stars; 100,000+ developers using the platform; 486+ enterprise customers (as of mid-2025)
- **Notable Investors/Partners**: Y Combinator (Summer 2024 batch), Peak XV Partners, Basis Set; Primary Partner: Nicolas Dessaigne (YC)
- **Growth Signals**: Featured in TechCrunch and VentureBeat; SOC 2 (Type 1) and HIPAA compliant; rapidly expanding engineering team in San Francisco

## Competitive Advantages
- **Hybrid Datastore Architecture**: Combines graph, vector, and key-value stores in a single memory layer — a differentiated technical approach compared to single-store competitors.
- **Enterprise-Grade Compliance**: SOC 2 Type 1 and HIPAA certified, with BYOK and zero-trust architecture — rare for a young infrastructure startup.
- **Open Source with Governance**: Fully open-source core (58k+ GitHub stars) combined with enterprise controls, audit logging, and observability.
- **Benchmarked Performance**: Proven across LoCoMo, LongMemEval, and BEAM benchmarks with a single-pass hierarchical distillation approach.

## Strategic Focus
- Making memory infrastructure the default for every AI agent, analogous to how databases became standard for web applications.
- Expanding enterprise adoption through compliance (SOC 2, HIPAA) and deployment flexibility (air-gapped, private cloud).
- Growing the open-source community and developer ecosystem to drive adoption and network effects.

## Why Work Here
- **Culture**: Described as "shipping oriented" — focused on action, fast iteration, and delivering value over endless planning. Emphasis on honest feedback and moving fast together.
- **Engineering Focus**: Building infrastructure at scale (memory for AI agents) with a small, high-impact team (current headcount ~10). Engineers work on cutting-edge LLM and systems problems.
- **Remote/Hybrid Policy**: Based in San Francisco; roles listed as on-site (San Francisco).
- **Compensation**: Salary range listed for engineering roles is $150K - $250K (from YC profile).
- **Team Background**: Founders built EvalAI (used by the AI research community) and have experience at Tesla (Autopilot/FSD platform) and scaling GPT app stores to 1M+ users.
- **Open Roles** (as of mid-2025): Backend Engineer, Applied AI Engineer, Full Stack Engineer, Senior Research Engineer — all in San Francisco.

## Sources
1. [mem0.ai](https://mem0.ai/)
2. [mem0.ai/about-us](https://mem0.ai/about-us)
3. [mem0.ai/careers](https://mem0.ai/careers)
4. [jobs.ashbyhq.com/mem0](https://jobs.ashbyhq.com/mem0)
5. [ycombinator.com/companies/mem0](https://www.ycombinator.com/companies/mem0)

## Other roles at Mem0

- [Research Engineer - Agent Memory](https://feeny.ai/job/research-engineer-agent-memory-mem0-san-francisco-39wc5ny5n55r) — San Francisco, CA
- [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-mem0-san-francisco-3e6bgtm7n8xa) — San Francisco, CA
- [Full Stack Engineer](https://feeny.ai/job/full-stack-engineer-mem0-san-francisco-1hfprtqy5aeg) — San Francisco, CA
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