Full Stack Engineer

Role Summary:

Build the product surface of Mem0 Platform-our memory platform powering LLM apps. You'll own features end-to-end across Next.js and Python, shipping fast without compromising code quality, performance, or reliability. You'll partner with design, research, and customers to turn real problems into elegant, scalable product experiences-and you'll take true ownership of outcomes.

What You'll Do:

• Ship end-to-end features: Design APIs, build UIs, write backend logic, own data models, and deploy to production.
• Build for scale & speed: Optimize latency, caching, and query patterns; keep pages snappy and backends reliable.
• Own quality: Write tests, enforce typing/linting, review PRs, and maintain clean, well-documented code.
• Collaborate deeply: Work with Design for great UX, with Research to integrate new memory capabilities, and with customers to refine requirements.
• Operate what you build: Add observability, set alerts, debug prod issues, and drive continuous improvements.
• Lead with product sense: Prioritize ruthlessly, make tradeoffs explicit, and iterate based on data and feedback.
• Go beyond your lane: Unblock teams, learn new tools on the fly, and do what it takes to deliver.

Minimum Qualifications

• Proven experience shipping full-stack web applications at scale using Next.js/React and Python.
• Strong Python skills and familiarity with modern web stacks (REST/Graph
  
  QL, Postgres, Redis, Celery/queues).
• Solid front-end chops: component architecture, state management, forms, accessibility, SSR/ISR.
• Track record of owning features E2E: from design docs to rollout and post-launch iteration.
• Code quality mindset: testing (unit/integration), type safety (TS/pyright/mypy), CI/CD, and thoughtful review culture.
• Excellent communication and teamwork; comfortable working cross-functionally with design, research, and GTM.
• Comfortable operating production systems (logs, metrics, tracing) and meeting low-latency requirements.
• No CS Degree required-we care about impact and craftsmanship.

Nice to Have:

• Experience integrating LLM/memory features (RAG, embeddings, vector DBs) into products.
• Familiarity with vLLM, model serving, or lightweight ML infra integrations.
• Real-time features (Web Sockets/Server Actions/streaming), file uploads, and background jobs at scale.
• Infra awareness:
  Docker, IaC, basic K8s/Vercel/AWS/GCP deployment patterns and cost thinking.
• Product/UI polish:
  Tailwind/Design Systems, charts, empty states, error UX, and performance budgets.
• Security & privacy basics (PII handling, audit/logging).

About Mem0

We're building the memory layer for AI agents. Think long-term memory that enables AI to remember conversations, learn from interactions, and build context over time. We're already powering millions of AI interactions. We are backed by top-tier investors and are well capitalized.

Our Culture

• Office-first collaboration - We're an in-person team in San Francisco. Hallway chats, impromptu whiteboard sessions, and shared meals spark ideas that remote calls can't.
• 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.