Crunchyroll Staff AI Engineer at Crunchyroll responsible for building and shipping production software and directing AI coding agents. Establish repeatable AI-assisted engineering practices across Enterprise Technology projects.
Responsibilities
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-assisted engineering tooling, including coding-agent workflows, repo access patterns, context setup, automated verification, and reusable delivery templates.
Track practical delivery metrics such as cycle time, quality, rework, test coverage, cost, adoption, and operational health.
Partner with Product, Security, business stakeholders, and Enterprise Technology teams to deliver secure, maintainable software.
Improve testing, review, observability, documentation, and operational practices for AI-assisted delivery.
Qualification
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You have a Bachelors Degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or related field.
You have 12+ years of experience building and shipping production software as a hands-on engineer, senior IC, technical lead, or Staff-level contributor.
You have strong production experience with Python and/or TypeScript across backend, frontend, data, API, or cloud-native systems.
You have hands-on experience using AI coding agents or tools such as Claude Code, Google Antigravity, Codex, Cursor, or similar systems.
You have strong engineering judgment for reviewing AI-generated code and knowing where human oversight is required.
You have experience building or integrating services, APIs, relational data stores, event-driven systems, and user-facing workflows.
You are familiar with cloud-native development, preferably GCP, including CI/CD, monitoring, security scanning, and cost-aware engineering.
You have an understanding of secure engineering practices, role-based access, SSO, audit logging, and controls for enterprise systems.
You're able to influence technical decisions, mentor engineers, and raise quality across a significant system or project area.
You communicate with both engineering and non-engineering stakeholders.