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# Full Stack Engineer

- **Company:** MrBeastYoutube, LLC
- **Location:** San Mateo, CA, United States
- **Experience:** Experienced
- **Salary:** $155,000.0 - $194,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Python (Programming Language), Node.Js, Performance Tuning, AI Coding Agents, Backend, Front End Software Development, Data Pipelines, Api Management, Golang
- **Published:** October 7, 2026
- **Apply:** https://startup.jobs/full-stack-engineer-cx-safety-tooling-and-automation-mrbeast-10317734

## About the Role

* AI-Native: You're already burning through tokens and using AI coding agents daily to move faster.
 * Full Stack Engineer: 2+ years of hands-on experience building consumer-facing products across frontend and backend, with comfort moving between client and server as the product demands.
 * Trust & Safety Minded: You have genuine interest in building tools that protect users, whether that's through coursework, side projects, or prior exposure to support, moderation, or fraud systems. You're comfortable translating ambiguous or evolving compliance and safety requirements into concrete data models and systems, rather than waiting for a fully-specified spec.
 * Ownership Mindset: You take pride in what you ship, follow through on production issues, and don't consider a feature done until it's running reliably in the hands of the people using it.

Strong software engineering fundamentals with hands-on experience in at least one backend language (Node.js, Go, Java, Python, or equivalent) and one frontend framework. Bonus points for exposure to vendor API integrations, internal tooling, data pipelines, or prior work at a consumer-scale company.

## Description

You'll be working, as part of a small and fast-moving team, on one of the highest-stakes parts of the product: the tools our agents, investigators, and support teams rely on to keep users safe and the platform trustworthy at scale. Workloads here are unpredictable in a different way: abuse patterns shift, moderation queues spike with real-time events, and every workflow touches real people's accounts, data, and safety. That means:

 * Internal tools across three areas: support ticketing (agent tooling, AI-assisted triage and resolution), safety/integrity investigations (case management, fraud investigation, content moderation, age overrides, data requests, NCMEC reporting), and abuse detection (real-time fraud controls, scam detection, identity and compliance systems) that need to stay fast and reliable for the customer support team using them every day.
 * Integrations with vendor platforms and APIs, from ticketing systems to identity and safety tools, that need to be correct, not just connected, since mistakes here can mean a missed report or a mishandled case.
 * Code that lives in production and directly affects how quickly and accurately real fraud, abuse, and support issues get resolved.

What You'll Do

 * Build and ship CX, fraud, and safety tooling across the full stack using AI coding tools, contributing to a velocity that redefines what a small engineering team can deliver.
 * Take ownership of your features end to end, from development through deployment, using AI-facilitated QA processes and tooling to maintain high engineering quality.
 * Write clean, reliable, and performant code with a strong sense of accountability for what you ship in production, especially given how directly these tools affect real users' safety and support experience.
 * Collaborate closely with your teammates and your supervisor, contributing to a culture of high standards, fast iteration, and continuous learning.