Full-Stack Engineer for AI-Powered Learning Platform

Uncover; Mountain View (CA); Hybrid; USD 170,000 - 210,000; Full time

Job summary

LearnVector in Mountain View, CA seeks an experienced engineer to own the product end to end—from frontend experiences to backend services and data layers, deployed at scale for AI-enabled learning.

You will shape architecture, build a streaming serving layer for personalized experiences, ensure observability, and guide deployment and testing standards as part of a small, fast-moving team led by Andrew Ng.

Join a mission-driven, AI-native environment with real impact on learning outcomes.

Qualifications

• 4+ years building and shipping production web applications end to end.
• Strong TypeScript/JavaScript and modern web frameworks experience.
• Experience owning production systems: deployment, monitoring, incident response.
• Experience integrating LLM APIs into products is a plus.

Responsibilities

• 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

Skills

TypeScript

JavaScript

React

Next.js

Node.js

Python

SQL

API design

Tools

CI/CD

Docker

Observability tools

LLM APIs

Job description

LearnVector in Mountain View, CA seeks an experienced engineer to own the product end to end—from frontend experiences to backend services and data layers, deployed at scale for AI-enabled learning.

You will shape architecture, build a streaming serving layer for personalized experiences, ensure observability, and guide deployment and testing standards as part of a small, fast-moving team led by Andrew Ng.

Join a mission-driven, AI-native environment with real impact on learning outcomes.