Company profile
Remote jobs at CloudCraft Labs
CloudCraft Labs currently has 5 open remote roles on Hidden Jobs. 5 were added during the last 7 days. The most represented roles are AI Engineer (2), Backend (1), DevOps (1). Salary information is not disclosed on the current active listings. The most common eligibility is US-based company (Austin, TX); remote scope not specified (4), Remote (1).
Jobs
Most common locations
- US-based company (Austin, TX); remote scope not specified4
- Remote1
Most common roles
- AI Engineer2
- Backend1
- DevOps1
- Full Stack1
CloudCraft Labs currently has 5 open remote roles on Hidden Jobs. 5 were added during the last 7 days. The most represented roles are AI Engineer (2), Backend (1), DevOps (1). Salary information is not disclosed on the current active listings. The most common eligibility is US-based company (Austin, TX); remote scope not specified (4), Remote (1).
Experience levels represented: Not specified (4), Senior (1).
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Current openings
5 active roles detected; full descriptions are public and original application links require Hidden Jobs Access.
Developer Experience Engineer
Make a suite of four AI products genuinely easy to adopt. The role owns the developer-facing surface — SDKs, documentation, quickstarts, and self-hosted onboarding — so that a tea…
AI Governance Engineer
Shape the AI governance product by translating dense regulatory frameworks into clean, enforceable controls. The work pairs backend engineering with policy design, mapping AI syst…
Solutions Architect
Serve as the technical partner for design partners and early customers of an enterprise AI platform. Scope deployments, architect the self-hosted footprint inside each customer's…
Senior AI Infrastructure Engineer
A senior individual contributor role focused on the core infrastructure that routes inference requests, caches results, and runs reliably inside customer-owned clouds. The positio…
Voice AI Engineer
Build the real-time voice backbone of a conversational AI product. The role centers on engineering a streaming speech-to-text → language model → text-to-speech pipeline that must…