{"id":127911,"url":"https://alion.io/job/mem0-full-stack-engineer","title":"AI Full Stack Engineer","company":{"id":48130,"name":"Mem0","domain":"mem0.ai","url":"https://alion.io/company/mem0","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Go","optional":false},{"name":"LLM","optional":false},{"name":"Mem0","optional":false},{"name":"Next.js","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"TypeScript","optional":false},{"name":"AWS","optional":true},{"name":"Docker","optional":true},{"name":"Figma","optional":true},{"name":"Fine-tuning","optional":true},{"name":"GCP","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"Tool Use","optional":true},{"name":"Vercel","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-07-14T16:55:24Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-18T07:06:48Z","board_verified":true,"closed_at":null,"days_open":95,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":95},"description":"About Mem0\nWe'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 for enterprise customers and an open-source community of 160,000+ developers. We're a Y Combinator-backed company that has raised a $24M Seed + Series A from top-tier investors.\nThis is a full-time, onsite role based in San Francisco, CA. You'll work closely with a highly technical team in person, where rapid collaboration and fast iteration are part of our culture.\nThis position reports directly to the CTO, making it a highly visible role with significant influence on product direction, engineering execution, and the future of the Mem0 platform.\nRole Summary\nBuild the AI product surface of the Mem0 Platform, the memory infrastructure powering the next generation of AI agents.\nYou'll own the frontend end to end. We don't have a designer, so the person in this seat sets the visual and interaction bar for everything our users touch: the dashboard, the playground, the docs experience, the onboarding flow. You'll decide what it looks like, build it in Next.js and React, and wire it to the Python services behind it.\nOur users are developers building agents, so the product you ship is the thing they judge us on. You'll work directly with the CTO, research, and customers to turn real memory problems into interfaces that feel fast and obvious.\nThis is a role for an engineer who has shipped LLM products to real users, has taste, and gets energy from owning the whole surface.\nWhat You'll Do\nOwn the frontend: Design and build the Mem0 dashboard, playground, and developer surfaces in Next.js and React. You set the design direction, build the component system, handle streaming responses and live state, and hold the quality bar.\n\nShip AI features end to end: Design APIs, build retrieval and memory pipelines, own the data models, and deploy to production.\n\nBuild with LLMs in production: Work with embeddings, vector search, RAG, function calling, and agent orchestration. Handle the messy parts: context windows, token budgets, non-deterministic output, graceful degradation.\n\nMake quality measurable: Build evals, golden datasets, and regression suites for AI behavior so that model and prompt changes ship with evidence behind them.\n\nBuild for scale and speed: Optimize retrieval latency, caching, database queries, bundle size, and inference cost across the stack.\n\nOwn quality: Write tests, maintain strong typing and linting standards, review code thoughtfully, keep the codebase clean.\n\nCollaborate deeply: Partner with Research to bring new memory capabilities into the product, and talk to customers directly to sharpen what you build.\n\nOperate what you build: Implement observability for both application and model behavior, monitor production, troubleshoot, and keep improving reliability.\n\nLead with product sense: Make thoughtful technical and product tradeoffs, prioritize well, iterate on user feedback and data.\n\nGo beyond your lane: Unblock teammates, pick up new technologies fast, do what it takes to deliver.\n\nMinimum Qualifications\n5+ years building and shipping production-grade full-stack applications at scale.\n\nDeep frontend craft in Next.js, React, and TypeScript. You've owned the look and feel of a product in production, with examples you can show us.\n\nStrong design sense and the ability to work without a designer. You can take a rough idea to a polished, accessible interface on your own, with a point of view on layout, typography, spacing, and motion.\n\nHands-on experience shipping AI-native products to real users using LLMs, RAG, embeddings, or vector databases. We want to hear about what you built, who used it, and what broke.\n\nStrong proficiency in Python and modern web application architecture.\n\nExperience with REST APIs, PostgreSQL, Redis, background job systems, and modern backend frameworks.\n\nPractical experience with prompt engineering, model evaluation, and debugging non-deterministic systems.\n\nDemonstrated track record of owning features end to end, from technical design through deployment and post-launch iteration.\n\nStrong engineering fundamentals: testing, CI/CD, type safety, maintainability, code quality.\n\nExperience operating production systems with logging, metrics, tracing, and monitoring while meeting low-latency requirements.\n\nExcellent communication skills and comfort working directly with customers and leadership.\n\nBachelor's or Master's in Computer Science or a related technical field, or equivalent coursework and practical experience.\n\nNice to Have\nExperience building and maintaining a design system or component library from scratch.\n\nComfort in Figma, or a habit of designing directly in code.\n\nExperience with agent frameworks, multi-agent systems, or tool-use architectures.\n\nFamiliarity with vLLM, model serving, fine-tuning, or lightweight ML infrastructure.\n\nExperience building developer-facing products: SDKs, API design, docs, playgrounds.\n\nInfrastructure experience with Docker, Kubernetes, IaC, AWS, GCP, or Vercel.\n\nUnderstanding of security and privacy best practices, including PII handling and audit logging.\n\nOur Culture\nOffice-first collaboration. We're an in-person team based in San Francisco. Hallway conversations, whiteboard sessions, and spontaneous collaboration help us move faster and build better products than remote meetings alone.\n\nVelocity with craftsmanship. We move quickly without sacrificing engineering excellence. Every system we build should be fast, reliable, scalable, and thoughtfully designed.\n\nExtreme ownership. Everyone at Mem0 is a builder-owner. If you see a problem or opportunity, you're empowered to solve it. Titles matter less than impact.\n\nHigh bar, high trust. We hire exceptional people, give them autonomy, and hold ourselves to a high engineering standard. We challenge ideas, review code thoughtfully, and celebrate wins together.\n\nData-driven, not ego-driven. The best ideas win regardless of where they come from. We rely on data, customer feedback, and thoughtful experimentation to guide decisions.\n\nBenefits & Perks\nHealth, dental & vision coverage. Comprehensive plans, fully covered for you and subsidized for dependents.\n\nLunch & dinner, on us. Daily meals catered in-office, because good food fuels good work.\n\nFlexible PTO. Take the time you need to recharge, no rigid accrual counting.\n\nEquity in an early-stage company. Real ownership in what you're building, not just a paycheck.\n\nRegular team happy hours & events. Built into the culture, not an afterthought.\n\nTop-tier equipment. 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