AI Engineer

Remotestar Team

WorldwideFully remoteFull TimeMid Level, SeniorInformation Technology
Posted 2h ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 2 hours ago · apply link checked 1 hour ago

About the role

Responsibilities

  • Design, build and maintain AI-powered skills, plugins and agentic workflows
  • Troubleshoot workflow failures, system issues and user challenges
  • Manage AI system configurations including model access, rate limits and usage policies
  • Support prompt engineering with robust system prompts and instructions
  • Integrate tools across ecosystems including Anthropic and Microsoft environments
  • Collaborate with cross-functional teams to implement practical AI solutions
  • Advise stakeholders on AI tool selection and best-fit solutions

Requirements

  • 5-8 years in software engineering or AI system development
  • Proven experience deploying AI systems in production
  • Hands-on experience with Claude tools or similar AI platforms
  • Workflow automation experience with n8n or equivalent
  • Strong prompt engineering expertise
  • Solid understanding of APIs, scripting, debugging and integrations
  • Experience with agentic architectures or managed AI systems
  • Strong troubleshooting skills in distributed systems

Preferred Qualifications

  • M365 Copilot administration or deployment experience
  • Exposure to cybersecurity or GRC environments
  • Understanding of enterprise AI security and compliance
  • Experience evaluating AI deployment strategies in regulated environments

What we look for

  • 5-8 years in software engineering or AI system development
  • Proven experience deploying AI systems in production
  • Hands-on experience with Claude tools or similar AI platforms
  • Workflow automation experience with n8n or equivalent
  • Strong prompt engineering expertise
  • Solid understanding of APIs, scripting, debugging and integrations
  • Experience with agentic architectures or managed AI systems
  • Strong troubleshooting skills in distributed systems
  • M365 Copilot administration or deployment experience
  • Exposure to cybersecurity or GRC environments
  • Understanding of enterprise AI security and compliance
  • Experience evaluating AI deployment strategies in regulated environments
AutomationAPIsAIDistributed SystemsPrompt EngineeringTroubleshooting
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