Live opening · Posted 2 days ago

AI Deployment Engineer

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

The key details from the original listing.

Posted 2 days ago
CompanyNebulai
LocationUnited States (Remote)
Work modeYes
SkillsPython
SourceLinkedin
ListedPosted 2 days ago

About the role

Description supplied by the original job listing.

Get client AI services from staging into production without the usual handoff chaos.
Through Nebulai's marketplace, you join enterprise teams that have a working prototype and need it live. You lock down the deploy path, wire health checks and rollbacks, fix the gaps between the model and the systems around it, and leave the team with a release process they can run without you.
You'll be a strong fit if you:
- Have shipped LLM or ML services past a pilot into production
- Write solid Python and can own CI/CD, containers, and runtime config
- Can debug flaky deploys with logs, metrics, and clear ownership
- Document the release steps so the next engineer can repeat them
Bonus if you've:
- Worked across more than one cloud or on-prem stack without favoring any vendor
- Built canary or blue-green style rollouts for AI services
- Shipped in regulated or enterprise environments
Contract AI deployment engineering via Nebulai. Apply at https://nebulai.app

Work arrangement
Yes

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