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Artificial Intelligence Engineer

Technology
EatEasy
دبي, الإمارات العربية المتحدةمنذ شهر
دوام كاملفي الموقع

وصف الوظيفة

AI Engineer

Location: Dubai Experience: 2 to 5 years Work Type: Full-time, Work From Office (WFO)

What You'll Do

  • Design, build, and deploy AI agents and LLM-powered features — prompt/harness design, tool orchestration, structured outputs.
  • Integrate AI systems with third-party platforms — CRMs, messaging channels, support tools — via REST APIs, OAuth, and webhooks.
  • Build and maintain reusable components (prompt libraries, guardrails, validation logic) instead of one-off scripts per use case.
  • Write typed tool contracts and enforce output schemas (Pydantic or equivalent) to keep agent behavior predictable and testable.
  • Set up and run evals — trajectory evals, regression tests — to catch quality drops before they reach production.
  • Work with Product/Engineering to turn requirements into working agent behavior, and document architecture clearly enough for handoff.

What We're Looking For
  • Experience: 2–5 years building production software, with meaningful hands-on LLM work
  • Strong Python — comfortable with FastAPI or Flask for backend services.
  • Practical experience with LLM APIs (Anthropic, OpenAI, or open-source models) — prompt engineering, function calling/tool use, context management.
  • Working knowledge of API integration patterns — OAuth 2.0, webhooks, REST, sync vs. async/event-driven design.
  • Familiarity with SQL and at least one vector/embedding store.
  • Version control (Git) and basic CI/CD exposure.
  • Clean, process-oriented coding habits — this is client-facing infra, not a hackathon.
  • Good communication - able to explain technical trade-offs to non-technical stakeholders.

Bonus Points For
  • Experience with agentic coding tools (Claude Code, Cursor) in your own workflow.
  • Exposure to voice agents, multi-channel conversational AI, or real-time streaming systems.
  • Experience with self-hosted auth/OAuth tooling (Nango or similar) over managed platforms.
  • Docker/Kubernetes and basic cloud deployment (AWS/GCP/Azure) experience.
  • Startup background — comfortable owning ambiguous problems without a fully specced ticket.

Keywords
الاتصالاتواجهات برمجة التطبيقاتGCPالإدارةالسياقفحص التراجع/الانحدارالمشاريع الحديثةالتمويل المهيكلOrchestrationCodingType systemCursorUse caseOauthPythonSqlCI/CDSync

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