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GenAI Engineer

Unlock employer Dubai, United Arab Emirates Posted: 12 Dec 2025

Financial

  • Estimate: $80k - $120k*
  • Zero income tax location

Accessibility

  • Hybrid
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Intermediate
  • English: Professional
  • Arabic: Professional

Position

About the Job: This position is focused on harnessing the power of the company's no-code builder to design AI agents and GenAI applications. You will be responsible for engineering high-quality outputs in Arabic and English, developing and training large language models (LLMs), and ensuring effective customer delivery through active collaboration with stakeholders.

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Responsibilities:

  • Solution Design & Build: Create AI agents and GenAI apps using Application, Automation, Data, and AI Agent modules within the company's no-code framework.
  • Prompting & RAG: Engineer prompts and implement techniques such as tool/function calling, chunking/embedding, vectorization, reranking, and grounding to achieve high-quality outputs.
  • Agent Evaluation: Develop golden test sets and utilize frameworks for agent evaluation to monitor accuracy.
  • LLM Model Training & Fine-Tuning: Conduct training and fine-tuning of models through prompt engineering and other methodologies in both Arabic and English.
  • Customer Delivery: Facilitate discovery sessions, outline user stories and acceptance criteria, build Proofs of Concept (PoCs) and Minimum Viable Products (MVPs), and iterate rapidly based on stakeholder feedback.
  • Platform Expertise: Become a Subject Matter Expert (SME) on the company's platform, providing structured feedback to influence the development roadmap.

Requirements:

  • Experience: 2–4 years in AI/LLMs with hands-on experience in building real applications or agents.
  • Language: Professional proficiency in Arabic and English, including reading, writing, and communication skills.
  • In-depth Knowledge on Gen AI: Familiarity with concepts such as LLMs, teams of agents, retrieval-augmented generation (RAG), grounding/hallucination, and AI governance.
  • Model Operations: Proficiency in prompt engineering, creating golden test sets, utilizing agent-eval frameworks, and conducting A/B testing and regression analysis for model fine-tuning (PEFT/LoRA).
  • Integrations: Experience with REST/GraphQL APIs, OAuth, webhooks, and integrating systems into cohesive end-to-end workflows.

Desired Skills and Experience:

  • A background in enterprise analytics is a plus.
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