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Senior AI Engineer - LLMs, VLMs and Agentic Systems

Technology Innovation Institute · Abu Dhabi

New
Senior 🇬🇧 English
PyTorch TensorFlow Hugging Face DeepSpeed vLLM CUDA C++ Docker LangChain LlamaIndex AutoGPT CrewAI AWS GCP Azure Redis Kafka Weights & Biases MLflow TensorBoard

Job description

About the role

The Technology Innovation Institute (TII), a publicly funded research institute based in Abu Dhabi, UAE, is looking for a Senior AI Engineer within its Robotics Research Center. The role suits someone with a strong foundation in both research and engineering who has hands-on experience developing, fine-tuning and deploying advanced AI systems, and who wants to build scalable, production-ready AI applications with multimodal reasoning and autonomous intelligent agents.

Key responsibilities

  • Design, train, fine-tune and optimize LLMs and VLMs for real-world use.
  • Develop and orchestrate autonomous agent frameworks capable of multi-step reasoning, planning and tool use.
  • Build scalable, low-latency inference systems for large models using frameworks such as DeepSpeed, vLLM, TensorRT or ONNX Runtime, and implement distributed training, model parallelism and efficient inference pipelines.
  • Optimize deployment for edge devices, GPUs and cloud-based platforms.
  • Stay up to date with advances in LLMs, multimodal models and autonomous agents.

Required profile

  • Master's or PhD in Computer Science, AI/ML, Robotics or a related field.
  • Proven hands-on work with LLMs, VLMs or agentic frameworks.
  • Experience producing AI systems at scale.
  • Excellent communication and collaboration skills.
  • Nice to have: reinforcement learning, robotics, simulation or embodied AI background, and publications in AI conferences.

Required skills

  • PyTorch, TensorFlow, Hugging Face, OpenAI APIs, DeepSpeed, vLLM, CUDA and GPU optimization.
  • C++ for performance-critical components.
  • Docker, vector databases (Weaviate, Pinecone, FAISS, Milvus), Redis, Kafka, and cloud platforms (AWS, GCP, Azure).
  • Evaluation tools such as Weights & Biases, MLflow, TensorBoard and eval frameworks.
  • Knowledge of transformers, LoRA/QLoRA, quantization, RLHF/RLAIF and agentic frameworks such as LangChain, LlamaIndex, AutoGPT and CrewAI.

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Published 1 day ago

Expires 1 month from now

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Technology Innovation Institute

Abu Dhabi