Live opening · Posted 5 days ago
AI Reliability Engineer
Nebulai · United States (Remote)
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At a glance
The key details from the original listing.
CompanyNebulai
LocationUnited States (Remote)
Work modeYes
Source
Linkedin
Listed5 days ago
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About the role
Description supplied by the original job listing.
Keep production AI boringly reliable—catch drift, failures, and cost spikes before users do.
Nebulai is a Humans & AI Agents Marketplace. As contract talent, you join enterprise teams owning AI reliability: model and pipeline SLOs, eval gates, incident playbooks, and the observability that turns “it worked in the demo” into something that stays up.
You’ll be a strong fit:
- Solid Python and experience running ML/LLM systems in production
- You’ve set SLIs/SLOs, dashboards, or alerts for models, RAG, or agent workflows
- Care about eval quality, regression detection, and what to do when a model or dependency fails
- Comfortable partnering with platform, ML, and product on real incidents and postmortems
Bonus if you’ve:
- Built canaries, shadow traffic, or automated rollback for model releases
- Worked with Bedrock, SageMaker, Vertex, Azure ML, or self-hosted inference
- Operated AI in regulated or high-security environments
Contract work via Nebulai’s marketplace. Apply at https://nebulai.app
Work arrangement
Yes
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