Live opening · Posted 1 day ago

AI Policy Engineer

Nebulai · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyNebulai
LocationUnited States (Remote)
Work modeYes
SourceLinkedin
ListedPosted 1 day ago

About the role

Description supplied by the original job listing.

Help enterprise teams write AI usage rules their engineers can actually follow, then build the checks that keep them honest.
Through Nebulai's marketplace, you join teams shipping LLM and ML features. You turn internal AI policy, customer contract terms, and regulatory expectations into guardrails, approval flows, and logging that live in the product.
You'll be a strong fit if you:
- Have written or implemented AI or data use policy inside a product or platform team
- Can translate policy into code paths: input and output filters, access rules, model usage limits, and audit logs
- Work well with legal, security, and product, and can say no with a workable alternative
- Keep policy docs short and current as models and use cases change
Bonus if you've set policy for retrieval or agent workflows, or worked across more than one cloud or on-prem stack without favoring a vendor.
Contract AI policy work via Nebulai. Apply at https://nebulai.app

Work arrangement
Yes

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