Senior AI Platform & Tools Engineer, Crunchyroll

• 6+ years of software or platform engineering, including building tools or services used by other engineers
• Hands-on experience administering, configuring, or supporting enterprise SaaS tools, AI platforms, or internal productivity platforms in a production business environment
• Strong software engineering skills (e.g., Python, plus Go/TypeScript or similar) - you ship production-quality tooling, not just prototypes
• Working knowledge of how modern AI systems work: LLM APIs, RAG, agentic frameworks, evaluation methodologies, and inference basics
• Experience building automation, data pipelines, or internal developer tooling
• Experience building practical AI agents, assistants, or workflow automations for business users, including requirements gathering, prompt/workflow design, testing, rollout, and iteration
• Previous work owning features end-to-end on a small team - design, build, ship, iterate
• Clear written communication - your tools and docs need to be adopted by other engineers

Desirable

• 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
• 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