Senior AI Platform & Tools Engineer
Crunchyroll, LLC
| Company | Crunchyroll, LLC |
| Category | Engineering |
| Location | Los Angeles |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 8 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
About Crunchyroll
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! As a Senior AI Platform & Tools Engineer, you build the platform, automation, and tooling that the rest of AI Enablement runs on — and you operate the enterprise AI tools the whole company relies on. You sit on the Tools & Governance platform team within AI Enablement (AIEN), reporting to the AI Platform, Strategy & Governance Lead, and you work as a generalist across the full stack: the evaluation and governance automation that powers how Crunchyroll adopts AI, the reusable building blocks other teams ship on, and the day-to-day administration of our approved AI tools.
The work spans three connected areas. You turn AI evaluation and governance from a manual process into an automated platform - structured evals, intake and scoring pipelines, approval routing, policy-as-code, and usage telemetry. You administer and configure our approved Enterprise AI tools, track new releases, and assess which to adopt so employees can get the best use and value. And you develop the golden-path templates, reference architectures, and reusable components - RAG patterns, agent scaffolding, prompt libraries, eval harnesses - that the Build & Partner team ships on.
This is an early, small team, so you'll wear several hats, take features end-to-end, and help set the engineering patterns the function scales on. It's a role for an engineer who wants to build the connective tissue for AI at a fast-moving company - equally happy shipping production tooling, automating away toil, operating the tools people depend on, and creating the foundations other engineers build on.
In this role, you will...
Build the AI evaluation platform: automated tooling that runs structured evals (capability, cost, latency, behavior, reliability) at scale rather than as manual, one-off reviews
Instrument usage and cost telemetry across the approved AI stack: token usage, seat utilization, vendor spend, and drift detection on approved tools
Automate AI Governance: intake triage, scoring pipelines, approval routing, and policy-as-code enforcement, integrated with Glean agents and JSM workflows
Develop golden-path templates, reference architectures, and reusable components - RAG patterns, agent scaffolding, prompt libraries, eval harnesses - that the Build & Partner team ships on
Administer and configure Crunchyroll's approved enterprise AI tools, including ChatGPT, Glean, Claude, and Gemini; manage settings, access patterns, feature enablement, and operational changes in partnership with IT and Security
Track new feature releases and product changes across approved AI tools, assess whether Crunchyroll should adopt them, and drive rollout so employees get maximum use and value
Make the platform the path of least resistance, so AIEN-built solutions ride on the golden paths and standards by default, and move the metrics that matter (time-to-evaluate, golden-path adoption)
Build medium-complexity agents and workflows for non-technical teams using approved AI platforms, ensuring they comply with AIEN standards for security, governance, maintainability, and measurement
Partner with the AI Security Engineer to bake required controls, detection, and prevention into the platform, so security is enforced at the platform level rather than bolted on per project
Operate as a generalist on a small team - own features end-to-end from design through production, and help establish the engineering patterns the team will scale on
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