AI Engineer

The company is a publicly funded research institute based in Abu Dhabi, United Arab Emirates, home to a diverse community of leading scientists, engineers, mathematicians, and researchers from around the globe. The company is dedicated to transforming challenges into pioneering research and technology prototypes that advance society.

This role is part of the company's Robotics Research Center. We are seeking a highly skilled AI Engineer with deep expertise in Large Language Models (LLMs), Vision-Language Models (VLMs), and agentic model architectures. The ideal candidate will possess a strong foundation in both research and engineering, with hands-on experience in developing, fine-tuning, and deploying advanced AI systems. You will contribute to building scalable, production-ready AI applications, integrating multimodal reasoning, and pushing the boundaries of autonomous intelligent agents.

Key Responsibilities:

• LLM/VLM Development & Integration: Design, train, fine-tune, and optimize LLMs and VLMs for real-world applications.
• Agentic AI Systems: Develop and orchestrate frameworks for autonomous agents that harness multi-step reasoning, planning, and tool use.
• Engineering & Deployment: Build scalable, low-latency inference systems using frameworks like DeepSpeed, vLLM, TensorRT, or ONNX Runtime. Implement distributed training, model parallelism, and optimize deployment for edge devices, GPUs, and cloud platforms.
• Research & Innovation: Stay updated with advancements in LLMs, multimodal models, and autonomous agents.

Core Competencies:

• AI/ML Expertise: Strong understanding of LLMs, VLMs, transformers, and multimodal architectures; experience with fine-tuning, quantization, distillation, and evaluation; knowledge of neurosymbolic methodologies and reinforcement learning techniques.
• Agentic Frameworks: Experience with frameworks such as LangChain, LlamaIndex, AutoGPT, OpenAI Agents, and Hugging Face Transformers.
• Development Tools & Libraries: Core frameworks like PyTorch, TensorFlow, Hugging Face, and supporting tools such as Weaviate and Redis.
• Programming Skills: Proficient in Python for AI research and C++ for performance-critical components.
• Systems & Infrastructure: Expertise in Docker, CUDA, cloud platforms (AWS, GCP, Azure), and AI distributed training systems.

Qualifications:

• Master’s or PhD in Computer Science, AI/ML, Robotics, or a related field.
• Proven track record of hands-on work with LLMs, VLMs, or agentic frameworks.
• Experience in productionizing AI systems at scale.
• Excellent communication and collaboration skills.

Preferred (Nice-to-Have):

• Experience with reinforcement learning.
• Background in robotics, simulation environments, or embodied AI.
• Publications in AI conferences.

At the company, we contribute to overcoming society’s biggest challenges through a rigorous approach to scientific discovery and inquiry, enabling breakthroughs in various fields, including AI, autonomous robotics, and quantum computing.