Senior AI Engineer, Technology Innovation Institute (TII)

Senior AI Engineer
United Arab Emirates
February 26, 2026
Full Time

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Job Description

The Senior AI Engineer position at Technology Innovation Institute (TII) requires candidates to develop and implement advanced AI systems which include Large Language Models and Vision-Language Models and agent-based systems. The position demands extensive knowledge of AI research and engineering because it requires building multimodal applications which function correctly in production settings.

Job ID: 5398

Expiration Date: NA

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Main Duties

  • Design, train, fine-tune, and optimize LLMs and VLMs for real-world applications.
  • Develop autonomous agent frameworks capable of multi-step reasoning, planning, and tool use.
  • Build scalable, low-latency inference systems for large AI models using advanced optimization frameworks.
  • Implement distributed training, model parallelism, and efficient inference pipelines.
  • Optimize deployment across GPUs, cloud platforms, and edge devices.
  • Research and integrate the latest advancements in multimodal AI and autonomous agents.
  • Develop reasoning loops, memory systems, and multi-agent coordination mechanisms.
  • Integrate vector databases, monitoring tools, and AI infrastructure components into production systems.
  • Collaborate with cross-functional research teams to deliver innovative AI solutions.
  • Ensure performance optimization using CUDA, GPU acceleration, and high-performance computing techniques.

Essential Qualifications

  • Master’s degree or a PhD degree in Computer Science Artificial Intelligence Machine Learning Robotics or a related field. 
  • Experience with LLMs and VLMs and agentic AI frameworks.
  • Demonstrate advanced programming skills in both Python and C++.
  • Experience with implementing AI systems that operate at production capacity.
  • Expertise in distributed systems and GPU technology and AI system infrastructure.
  • Demonstrates strong abilities in both communication and collaborative work.

Preferred Qualifications

  • Knowledge about reinforcement learning and alignment methods and neurosymbolic AI approaches. 
  • Experience in robotics and simulation environments and embodied AI systems. 
  • The researcher has published work in established AI conferences and AI journals. 
  • Cloud services which include AWS and GCP and Azure. The candidate has knowledge about AI systems that monitor their performance and assess their effectiveness.