About LearnVector
For most of history, great teaching has been scarce. A brilliant teacher who knows you well, adapts to how you learn, and patiently stays with you until you get there — almost no one has had that. AI changes what's possible. LearnVector, founded by Andrew Ng, is building a trustworthy AI guide for learning, with a mission to accelerate human development. We're a small, fast-moving team working on-site in Mountain View, California and backed by a $100 million investment from Coursera.
About the role
You will build our software product end to end — the application learners live in, the backend that serves unique AI-enabled learning experiences at scale, and the infrastructure underneath both. You'll make key architecture and implementation decisions early enough that they'll still matter years from now.
The product is unusual in a specific way: every learner's experience is different, generated and adapted for them, and delivered through long-running relationships rather than stateless sessions. Serving that well is a real systems problem — state and memory over months, streaming AI interactions that feel instant, content pipelines with verification stages, and the observability to know what thousands of concurrent learner sessions are actually doing.
What you will do
- Build the product end to end: frontend experiences, backend services, data layer, and deployment — you'll touch all of it, and own large pieces outright
- Make foundational architecture decisions — and revisit them honestly as reality reports back
- Build the serving layer for AI-driven experiences: streaming responses, session and memory state, background generation and verification jobs, graceful degradation when models misbehave
- Set the engineering bar: testing, CI, observability, and the pragmatism to know which corners are safe to cut at our stage and which never are
- Ship daily alongside a founding team that includes Andrew, with direct exposure to every product decision
What you bring
- AI-native: you default to AI-assisted coding and building automations in everything you do, and you stay current with the newest AI engineering practices because you can't help it
- 4+ years building and shipping production web applications end to end
- Strong TypeScript/JavaScript and modern web frameworks (React/Next.js or similar), plus solid backend engineering (Node or Python), API design, and SQL
- Experience owning production systems: deployment, monitoring, incident response, performance — you've been paged and made the pager quieter
- Experience integrating LLM APIs into products, including streaming, and an informed view of what makes AI products feel great or terrible
- Judgment: you can make an architecture call under uncertainty, state your reasoning in a paragraph, and change your mind when evidence arrives
Nice to have
- Early-stage startup experience — you've been one of the first engineers somewhere and know what that demands
- Real-time or voice interaction experience (WebSockets, WebRTC, audio pipelines)
- Data-pipeline or event-analytics experience
- Consumer-product sensibility: you sweat interaction details users can't name but always feel
What success looks like
In your first 30 days, you will have shipped meaningful product improvements to production and formed a view of where the architecture will bend before it breaks.
In your first 6 months, the platform will be one you're proud of — serving personalized learning experiences reliably, instrumented so the team learns from every session, and structured so a growing team can build on it without asking you first.
LearnVector is committed to a workplace of mutual respect and equal opportunity. We hire based on qualifications, merit, and business needs, and do not discriminate on the basis of any characteristic protected by applicable law.
Accommodations
If you need a reasonable accommodation at any point in the application or interview process, we'll work with you. Requests are kept confidential and separate from hiring decisions.
Skills Required
- 4+ years building and shipping production web applications end to end
- Strong TypeScript or JavaScript and modern web frameworks such as React or Next.js
- Solid backend engineering experience with Node or Python
- API design and SQL experience
- Experience owning production systems, including deployment, monitoring, incident response, and performance
- Experience integrating LLM APIs into products, including streaming
- AI-assisted coding and automation experience, with current knowledge of AI engineering practices
- Early-stage startup experience
- Real-time or voice interaction experience with WebSockets, WebRTC, or audio pipelines
- Data-pipeline or event-analytics experience
- Consumer-product sensibility and attention to interaction details
AI Fund Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AI Fund and has not been reviewed or approved by AI Fund.
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Healthcare Strength — Health coverage is portrayed as strong with great healthcare and dental coverage, plus vision insurance, long-term disability, and life insurance. Feedback suggests this aligns with tech-standard benefits for US roles at a small venture studio.
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Retirement Support — Retirement benefits include a 401(k) plan with employer match for US employees. Feedback suggests this forms part of a competitive total package for fund roles.
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Parental & Family Support — Family support includes fully paid parental leave for applicable roles. Feedback suggests this is a standout benefit for an organization of this size.
AI Fund Insights
What We Do
Who is AI Fund? We are a team of AI pioneers, proven entrepreneurs, seasoned operators, and venture capitalists that collaborates with leading entrepreneurs to solve big challenges using artificial intelligence. Founded in 2017 by Dr. Andrew Ng, AI Fund is backed with $176 million in capital by some of the leading VC firms and investors, including NEA, Sequoia, and Greylock. How Are We Different? We work with entrepreneurs during their startup’s most critical and risky phase, from 0 to 1. At the earliest stages, your company strategy is still being formed, and you’re still on the path to demonstrating your idea’s full potential – this is a reality we understand. This is the period when decisions on product strategy, market fit, and team are most critical, moving fast and fixing parts of your business when you have limited resources is a challenge. We believe the best way to help entrepreneurs is by providing our time, expertise, and resources to help flesh out these key strategic decisions. Making the right decisions at the right time can often make the difference. We are here to improve these dynamics, at a time when the help matters the most. Why Work With AI Fund? Getting a startup from idea to Series A funding is not easy. We’ve been there and understand the challenges you must overcome. Whether you desire limited help and just want access to our unique ecosystems of AI experts and entrepreneurs or you would like our full support, we are interested in the opportunity to help in your success. We are flexible in how we work with companies, but ultimately, we are here to maximize your chance of success and accelerate getting your company to market. We provide the capital, expertise, and resources to accelerate the work required to minimize risks in your startup, help you rise above the noise, and make your company more attractive to new investors.
