Frontline AI Solutions Engineer

FDE Times

Perth

Presencial

AUD 140 000 - 210 000

Tempo integral

Há 4 dias
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Resumo da oferta

SpaceX is seeking an engineer to embed with customer teams, own outcomes, and ship production-grade SpaceXAI systems that endure beyond your involvement. You will move from discovery to launch, tying architectures to real-world workflows and ensuring customers can operate what you built.

You’ll design agents and AI-powered workflows on Grok and our models, integrate into existing auth, data, and delivery pipelines, and iterate based on real usage, with a focus on performance, reliability, and

Qualificações

  • 5+ years of experience in software engineering, ML engineering, or data science
  • Proficient in production-grade code (Python, JavaScript/TypeScript)
  • Experience turning customer problems into shipped, operated systems
  • Experience with AI-native workflows or agents in production
  • Familiarity with reliability: monitoring, rollouts, incident response

Responsabilidades

  • Lead discovery with the customer to identify the real bottlenecks and success metrics
  • Design and ship production agents and AI workflows in live business processes
  • Get a first version live quickly, then iterate with rollout and monitoring
  • Own production quality, latency, costs, and failure handling
  • Integrate tools, auth, data, and delivery systems into the customer environment
  • Measure outcomes like revenue, cost, hours saved, cycle time

Conhecimentos

5+ yrs exp
Python
JavaScript/TypeScript
Production code
AI/ML

Ferramentas

CI/CD
Grok

Descrição da oferta de emprego

SpaceX is seeking an engineer to embed with customer teams, own outcomes, and ship production-grade SpaceXAI systems that endure beyond your involvement. You will move from discovery to launch, tying architectures to real-world workflows and ensuring customers can operate what you built.

You’ll design agents and AI-powered workflows on Grok and our models, integrate into existing auth, data, and delivery pipelines, and iterate based on real usage, with a focus on performance, reliability, and

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