Full Stack Engineer Jobs at AI Companies
Full Stack Engineers at AI companies own the entire product stack — from frontend interfaces to backend APIs and database design. These versatile roles are especially common at AI startups where engineers wear multiple hats to ship AI-powered products quickly.
Last updated: June 27, 2026
Latest Full Stack Engineer Jobs at AI Companies
View all jobsProduct Engineer - Full stack/web
Senior Full Stack Engineer
Senior Fullstack Engineer | AI Pentesting | Paris Office
Software Engineer - Full Stack
Senior Full Stack Engineer
Software Engineer (Fullstack)
Full Stack Product Engineer - Remote/US
Full Stack Product Engineer
Full Stack Product Engineer - Remote/Europe
Senior Fullstack Engineer
Full Stack Developer - Bountiful
Fullstack Engineer
Full Stack Software Engineer
Fullstack Software Engineer
Senior Software Engineer, Full Stack
Full Stack Engineer
Fullstack Engineer
Senior Fullstack Engineer in Creators group (React/Typescript)
Fullstack Engineer (Marketing)
Fullstack Engineer (Digital Experience)
Frequently Asked Questions
What does a Full Stack Engineer do at an AI company?
Full Stack Engineers at AI companies build complete features end-to-end, from the React/Next.js frontend to the Python/Node.js backend and database layer. At AI startups, you might build a complete AI-powered feature in a single sprint — designing the UI, creating the API endpoints, integrating with ML model inference, and deploying the whole thing. The role often involves working with AI APIs, implementing streaming interfaces for LLM outputs, building user feedback loops for model improvement, and creating internal tools for the ML team.
What is the salary for full stack engineers at AI companies?
Full stack engineers at AI companies earn $130K-$200K at mid-level and $180K-$300K+ for senior roles. At early-stage AI startups, base salary might be slightly lower but equity packages can be substantial. Companies like Vercel, Cursor, and other AI-native startups offer competitive total compensation. The demand for full stack engineers who can ship complete AI-powered features is growing rapidly as more AI companies move from research to product.
What tech stack do AI companies use for full stack roles?
The most common stack at AI companies is React/Next.js on the frontend with Python or TypeScript/Node.js on the backend. PostgreSQL is the dominant database, often paired with Redis for caching and vector databases like Pinecone or pgvector for AI-specific workloads. Tailwind CSS is nearly universal for styling. Infrastructure typically runs on AWS or GCP with Docker/Kubernetes. For AI integration, you'll work with REST/streaming APIs, WebSockets for real-time model responses, and occasionally LangChain or similar AI orchestration frameworks.
AI Job Insights for Full Stack Engineer Jobs at AI Companies
Salary Range (Yearly, USD)
$45K - $300K
Median $150K from 31 listings with salary data
Top Companies Hiring
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Common Roles
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In-Demand Skills
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