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AI Engineer

Job in Dubai, Dubai, UAE/Dubai
Listing for: Tandemsearch
Full Time position
Listed on 2026-06-22
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 200000 AED Yearly AED 120000.00 200000.00 YEAR
Job Description & How to Apply Below

Position: AI Engineer

Location:

Dubai

Job Purpose

Design, build, and deploy AI powered solutions using LLMs, NLP, and Computer Vision technologies to solve real-world business challenges through scalable and production ready applications.

Key Responsibilities
  • Develop and optimize AI models for NLP, LLM-driven applications, and Computer Vision use cases including chatbots, OCR, document analysis, and video analytics
  • Build and deploy RAG pipelines, AI agents, APIs, and scalable inference services for production environments
  • Fine-tune pre-trained models and manage datasets for model training, evaluation, and continuous improvement
  • Monitor model performance, reliability, and scalability while improving inference efficiency and system accuracy
  • Collaborate with engineering, product, and business teams to deliver AI-powered solutions and drive innovation
Job Requirements
  • Minimum 2 years of experience in AI/ML engineering with hands‑on exposure to NLP, LLMs, or Computer Vision
  • Strong proficiency in Python and frameworks such as PyTorch, Tensor Flow, Hugging Face, Lang Chain, or Llama Index
  • Experience with LLMs, prompt engineering, fine‑tuning, RAG pipelines, and vector databases such as FAISS or Pinecone
  • Familiarity with FastAPI, Docker, Kubernetes, cloud platforms (AWS/GCP/Azure), and monitoring tools such as Grafana or Prometheus
  • Bachelor’s degree in Computer Science, AI, Machine Learning, or a related field
Soft Skills
  • Strong analytical and problem solving skills with a product driven mindset
  • Effective communication and collaboration skills across technical and non technical teams
  • Ability to thrive in fast paced and innovation driven environments
  • Strong ownership, accountability, and adaptability
  • Passion for continuous learning and emerging AI technologies
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