Apply now for the Backend Engineer role at Mem0 (Remote, India). Candidates with 3+ years of backend development experience in Python, REST APIs, Postgres, and AWS are encouraged to apply. Join a cutting-edge AI memory platform backed by top-tier investors. Competitive compensation of ₹40L–₹50L.
Table of Contents
Full Job Details
Introduction
Are you ready to shape the future of AI memory systems? Mem0 is hiring a Backend Engineer (Remote – India) with at least 3+ years of experience in backend development, REST APIs, and cloud-native systems. With a compensation package of ₹40L–₹50L, this opportunity is perfect for ambitious engineers looking to contribute to an AI-powered memory platform that is transforming human–AI interaction.
About Mem0
Mem0 is building the memory layer for AI agents. Imagine an AI that doesn’t just respond but remembers conversations, learns from interactions, and builds long-term context. That’s what Mem0 enables—powering millions of AI interactions daily.
The company is backed by top-tier investors and has already established itself as a pioneering force in AI memory infrastructure. With a strong belief in velocity, craftsmanship, and extreme ownership, Mem0 empowers engineers to build impactful, reliable systems that scale globally.
Job Role Overview
- Position: Backend Engineer
- Location: Remote (India)
- Experience Required: 3+ years in backend development
- Employment Type: Full-time
- Compensation: ₹40L–₹50L annually
The Backend Engineer will own the backend infrastructure that powers Mem0’s platform, working across APIs, databases, cloud infrastructure, and performance optimization.
Key Responsibilities
As a Backend Engineer at Mem0, you will:
- Design & ship REST APIs: Define contracts, handle versioning, authentication, rate limiting, migrations, and documentation.
- Model & optimize data: Work with relational (Postgres) and graph databases (Neo4j), ensuring data integrity and high performance.
- Debug & resolve issues: Trace problems with logs/metrics, reproduce bugs, implement fixes, and build preventative systems.
- Optimize SQL queries: Use EXPLAIN/ANALYZE, indexes, partitioning, caching, and pagination to ensure performance.
- Build backend services in Python: Using frameworks like FastAPI, Django/DRF, or Flask, implement async systems where needed.
- Operate in the cloud: Containerize with Docker, deploy via Kubernetes (EKS), and manage AWS primitives like EC2, RDS, Aurora, S3, and IAM.
- Implement observability: Metrics, structured logging, tracing, SLOs, and alerting with CloudWatch/Prometheus/OpenTelemetry.
- Collaborate & deliver: Partner with frontend and research teams to scope APIs and deliver robust features.
Required Skills & Qualifications
✅ Experience: Minimum 3+ years building backend systems in production.
✅ Programming: Strong Python fundamentals with async programming and experience in FastAPI, Django, or Flask.
✅ Database expertise: Strong SQL and data modeling, hands-on with Postgres/MySQL performance tuning.
✅ Graph databases: Experience with Neo4j or Amazon Neptune.
✅ Cloud skills: Running services on AWS with Docker and Kubernetes.
✅ Problem-solving: Ability to debug complex production issues and build long-term solutions.
✅ Collaboration: Strong communicator and team player.
Preferred / Nice-to-Have Skills
- Experience with GraphQL or gRPC.
- Knowledge of event-driven systems (SNS, SQS, Kafka).
- Background in caching strategies (Redis), rate limiting, and multi-tenancy.
- Security & privacy best practices for sensitive data.
- Advanced observability (OpenTelemetry, SLO-driven alerting).
- Experience with AI memory systems, search, or retrieval.
- On-call operations & blameless postmortems.
Work Culture at Mem0
Mem0’s culture is built around:
- Office-first collaboration mindset: Although this role is remote in India, the team believes in open communication, impromptu problem-solving, and teamwork.
- Velocity with craftsmanship: Move fast but never compromise on reliability or elegant design.
- Extreme ownership: You’ll be empowered to take initiative and fix issues beyond your job description.
- High bar, high trust: A flat structure where talent and impact matter more than titles.
- Data-driven decision-making: Ideas are judged by merit, not hierarchy.
Compensation & Benefits
💰 Salary Range: ₹40,00,000 – ₹50,00,000 annually
📌 Benefits include:
- Remote work flexibility (India)
- Competitive salary backed by top investors
- Exposure to cutting-edge AI memory technologies
- Ownership of impactful backend systems
- Growth in a fast-scaling AI startup environment
Why Join Mem0?
- Be part of a pioneering AI company shaping how humans and AI interact.
- Work on complex backend challenges with global impact.
- Competitive salary and startup ownership culture.
- Collaborate with world-class engineers and researchers.
- Accelerated learning in backend engineering, AI systems, and scalability.
What You’ll Gain by Joining
Joining Mem0 as a Backend Engineer means:
- Exposure to state-of-the-art AI memory infrastructure.
- Opportunity to build high-performance backend systems at scale.
- Hands-on experience with cloud-native architecture and advanced databases.
- A chance to grow your career in AI and backend engineering.
- Working in a culture of trust, innovation, and extreme ownership.
Conclusion
If you’re an experienced backend engineer eager to work on cutting-edge AI memory infrastructure, Mem0 offers the perfect platform. With competitive pay, remote flexibility, and a culture of ownership, you’ll grow as an engineer while shaping the future of AI.
FAQs
Q1. What is the job location?
This is a remote position in India.
Q2. What is the compensation?
₹40L – ₹50L per year.
Q3. What experience is required?
At least 3+ years in backend development.
Q4. What technologies should I know?
Python (FastAPI/Django/Flask), Postgres, AWS, Docker, Kubernetes, and graph databases.
Q5. Does this role involve AI research?
No, but you’ll build the backend that supports AI memory systems, collaborating with research teams.
