Senior AI Engineer
Crunchyroll
Dallas, TX, US
Onsite
2026-07-03
Estimated salary · Dallas
~ $110,200 - $188,300
Low
$83K
Median
$110K
High
$145K
Market in Dallas · BLS OEWS 2025
Estimated net pay
$7,196 - $11,684
/month · 22% withheld
after tax & contributions · on the estimated salary · Single, no dependents
Job description
**About Crunchyroll**
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Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super\-serve over 100 million anime and manga fans across 200\+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in\-person, streaming video, theatrical, games, merchandise, events and more, it’s powered by the anime content we all love.
Join our team, and help us shape the future of anime!
Enterprise Technology is building the core AI\-native engineering capabilities needed to improve how we design, build, test, and ship software. This role will help apply AI\-assisted engineering across Enterprise Technology projects while maintaining strong quality, security, and production\-readiness standards.
You will build production software, direct AI coding agents, review AI\-generated work, improve delivery practices, and help turn what works into reusable patterns for future Enterprise Technology initiatives.
In the role of Staff AI Engineer, you will report to the VP, Enterprise Technology. We are considering applicants for the location of Dallas, Texas (on\-site Tuesdays, Wednesdays, and Thursdays).
**What You’ll Do:**
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* Build and ship production software for Enterprise Technology initiatives, including services, APIs, data models, user interfaces, integrations, tests, and operational tooling.
* Direct AI coding agents by writing clear specs, acceptance criteria, implementation plans, and verification steps.
* Review and own AI\-generated code, tests, pull requests, and migrations for correctness, security, maintainability, and production readiness.
* Help establish repeatable AI\-assisted engineering practices for Enterprise Technology projects.
* Design and implement integration\-heavy, data\-intensive, and workflow\-driven systems for enterprise applications and operational platforms.
* Apply and extend AI\-ass