Full Stack Engineer
Builds end-to-end features for Mem0's memory platform using Next.js/React for UI and Python for backend, optimizing for scale, speed, and reliability. Collaborates with design, research, and customers while owning production operations and code quality.
About the job
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/GraphQL, 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.
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 (WebSockets/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).
Skills
Next.js, React, Python, Postgres, Redis, GraphQL, Rest, Celery, TypeScript, Docker, Kubernetes, AWS, GCP, Tailwind, WebSockets
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