Staff Engineer, AI Operations & Governance, Workplace AI

Added
7 days ago
Type
Full time
Salary
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json ai api infrastructure as code mlops

๐Ÿ“‹ Description

  • Manage day-to-day configurations for AI platforms and orchestration tools, including models
  • Design, configure, and maintain connectors and integrations with SaaS applications, data sources
  • Build and maintain observability across AI workflows, including logging, metrics, alerts, latency
  • Implement secure secrets management and access controls, including API key and credential rotation
  • Execute production changes such as model replacements, policy updates, prompt modifications
  • Conduct technical evaluations and benchmarking of AI models, tools, and configurations, summarizing

๐ŸŽฏ Requirements

  • 4โ€“7+ years of experience in platform engineering, DevOps/SRE, ML/AI operations, technical SaaS
  • Strong knowledge of APIs, integrations, infrastructure-as-code concepts, and configuration
  • Hands-on experience with monitoring and observability tools, including logs, metrics, and alerting
  • Practical experience with at least one AI or automation platform, such as LLM providers, AI
  • Experience with secure secrets management, access controls, role-based permissions, key rotation
  • Strong technical documentation skills, with the ability to communicate engineering decisions and

๐ŸŽ Benefits

  • Annual salary range of $200,000โ€“$300,000, with compensation influenced by experience, skills
  • Full-time regular employees receive salary within the stated range plus bonus, benefits, and equity.
  • Temporary employees receive compensation within the stated range plus an applicable temporary
  • Comprehensive employee benefits are available for eligible full-time employees.
  • Equity participation is included in the regular employee offer package.
  • Offers are contingent on successful background screening and, where applicable, reference checks.
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