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AI Reliability Engineer

Nebulai

On-sitemidPosted 1d ago

Job description

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