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ITCAN Technology and Digital Marketing logo
ITCAN Technology and Digital Marketing

At any level, there is a level up

AI Engineer

AI EngineerMachine Learning EngineerFull TimeRemoteSeniorTeam 51-200Since 2015H1B No SponsorCompany SiteLinkedIn

Location

United Arab Emirates

Posted

86 days ago

Salary

0

Seniority

Senior

5 yrs expEnglishDistributed SystemsETL

Job Description

AI Engineer

ITCAN Technology and Digital Marketing

• Build and ship AI-enabled automation that improves scalability, reliability, and cost-to-serve across MoonTech workflows. • Design, implement, and own production services for AI features — APIs, orchestration, background jobs, and monitoring. • Build full-stack product surfaces for internal tools and user-facing automation, including clean UX, resilient backend logic, and secure data handling. • Partner with Product, Data, and Engineering to translate business workflows into automated systems with clear success metrics. • Implement evaluation and quality loops for AI features, including test datasets, online measurement, and feedback-driven iteration. • Integrate with third-party systems and internal services (payments, CRM, attribution/analytics, messaging, partner platforms) to automate end-to-end journeys. • Establish operational excellence for AI workflows: observability, incident readiness, cost controls, rate limiting, and reliability safeguards. • Contribute to platform standards around data privacy, access control, and safe deployment patterns. • Shape AI use cases in partnership with Product and Engineering, and measure impact through clear evaluation metrics. • Use AI tools and automation in your own day-to-day work to streamline analysis, documentation, and planning.

Job Requirements

  • 5+ years of experience shipping production software, including AI-enabled systems and full-stack delivery.
  • Strong backend engineering skills — API design, distributed systems basics, async processing, queues, caching, and observability.
  • Strong full-stack capability, including building usable web interfaces integrated with backend services.
  • Practical experience with modern AI stacks: LLM integration, prompt engineering, RAG, embeddings, and model routing — with emphasis on production quality and measurable outcomes.
  • Experience building automation workflows and integrations across systems (webhooks, event-driven architecture, ETL/ELT basics, third-party APIs).
  • Solid engineering fundamentals: testing, CI/CD, security basics, and reliability mindset.
  • Clear communication and strong ownership in cross-functional environments.

Benefits

  • Flexible work arrangements
  • Professional development opportunities

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