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Mem0 · 1 day ago

Full Stack Engineer

positionSan Francisco, CA
timeFull-time
remoteOnsite
seniorityMid, Senior Level
money$150K/yr - $180K/yr

Mem0 is building the memory layer for AI agents, enabling AI to remember conversations and learn from interactions. The Full Stack Engineer will be responsible for building features end-to-end across Next.js and Python, ensuring code quality, performance, and reliability while collaborating with design and research teams.

Artificial Intelligence (AI)Information TechnologyMachine LearningSaaS

Responsibilities

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

Qualification

Next.jsPythonFull-stack developmentREST/GraphQLPostgresRedisCI/CDSecurity basicsInfra awarenessCommunicationTeamwork

Required

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
No CS Degree required—we care about impact and craftsmanship

Preferred

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)

Company

Mem0

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Mem0 is a SaaS company that specializes memory layers for LLM applications.
dateFounded in 2023
location
San Francisco, California, USA
people-size2-10 employees
web-link
https://mem0.ai

Funding

Current Stage
Early Stage
Total Funding
$24.4M
Key Investors
Basis Set VenturesKindred VenturesY Combinator
2025-10-28Series A· $20M
2025-10-28Seed· $3.9M
2024-09-25Pre Seed· $0.5M

Recent News

Built In
Mem0 Raises $24M to Overcome AI Memory Challenges
2025-11-04
alleywatch.com
The Weekly Notable Startup Funding Report: 11/3/25
2025-11-03
Tech Startups - Startups and Technology news
Top Startup and Tech Funding News Roundup – Week Ending October 31, 2025
2025-11-01
Company data provided by crunchbase