AI Specialist & Machine Learning Engineer / Senior AI Engineer
Job Summary
The Technology Innovation Institute (TII) in Abu Dhabi is recruiting a experienced Senior AI Engineer for its global Robotics Research Center. Positioned at the intersection of AI research and engineering, this role focuses on advancing Vision-Language Models (VLMs), Large Language Models (LLMs), and autonomous agentic systems. You will lead the development, alignment, and low-latency deployment of embodied multimodal models across robotics simulations, GPU clusters, and edge infrastructure in the United Arab Emirates.
Key Responsibilities
Multimodal Model Engineering & Alignment
- Architect, train, and fine-tune foundation LLMs and Vision-Language Models (VLMs) tailored for real-world application environments.
- Implement efficient parameter tuning and optimization methodologies, including LoRA, QLoRA, model quantization, and knowledge distillation.
- Align model outputs using preference optimization protocols and reinforcement learning frameworks (RLHF, RLAIF).
- Incorporate neurosymbolic AI techniques to integrate logical reasoning with deep neural networks.
Agentic Framework Architecture & Deployment
- Design multi-agent orchestration systems equipped with long-term memory, dynamic planning loops, and external tool execution.
- Build high-throughput, low-latency deployment frameworks using ONNX Runtime, vLLM, TensorRT, and DeepSpeed.
- Deploy scalable microservices and vector indexing pipelines utilizing Docker, Kubernetes, FAISS, Pinecone, and Milvus.
- Optimize deep learning inference pipelines for hardware acceleration across cloud environments, high-performance GPU clusters, and edge robotics devices.
Research Integration & System Monitoring
- Track emerging scientific breakthroughs across agentic workflows, embodied AI, and transformer architectures to continuously enhance TII platforms.
- Write high-performance Python and C++ modules for system integration and performance-critical inference pipelines.
- Set up continuous evaluation, telemetry, and tracking benchmarks using Weights & Biases, TensorBoard, and MLflow.
Qualifications & Requirements
- Master’s Degree or Ph.D. in Computer Science, Artificial Intelligence, Robotics, Machine Learning, or a closely related technical field.
- Demonstrated track record in building, fine-tuning, and productionizing LLMs, VLMs, or multi-agent architectures.
- Strong programming mastery of Python (AI research & pipelines) and C++ (low-latency optimization & hardware integration).
- Hands-on expertise with agentic software libraries such as LangChain, LlamaIndex, AutoGPT, CrewAI, or Hugging Face Agents.
- Proficiency with GPU acceleration technologies including CUDA, model parallelism, and Docker containerization.
- Prior experience with reinforcement learning, robotics simulation environments, or top-tier AI conference publications (NeurIPS, ICML, ICLR, CVPR) is advantageous.
Job Overview
| Employer | Technology Innovation Institute (TII / ATRC) |
|---|---|
| Research Unit | Robotics Research Center |
| Role Title | Senior AI Engineer (LLM / VLM / Agentic AI) |
| Job Location | Masdar City, Abu Dhabi, United Arab Emirates (UAE) |
| Work Model | On-site / Advanced Research Facility |
| Educational Requirement | Master’s Degree or Ph.D. in Computer Science, AI, or Robotics |
| Core Competencies | LLMs, VLMs, Agentic Frameworks, PyTorch, C++, CUDA, vLLM, DeepSpeed, MLOps |
| Work Schedule | Full-time Corporate Research Schedule |
| Remuneration | Tax-Free Executive Salary + Relocation Package + Performance Bonus |
| Benefits Included | UAE Employment Visa, Full Family Health Insurance, Airfare Allowance, End-of-Service Gratuity |
| Where to Apply | Official Technology Innovation Institute Careers Portal |
Career Preparation Guide & Candidate Advice
Who this role suits
This position is designed for senior AI engineers and research practitioners who combine strong mathematical foundations with systems-level engineering skills. It is especially suited for those with a strong interest in embodied AI, autonomous decision-making agents, and bringing multimodal LLMs out of pure research and onto robotic systems.
How to structure your resume for TII Robotics
- Highlight Agentic System Design: Detail specific autonomous agent frameworks (LangChain, CrewAI, LlamaIndex) you have built, including memory management and tool integration loops.
- Detail Engineering Metrics: Include quantifiable deployment achievements (e.g., reduced VLM inference latency from 500ms to 80ms using TensorRT on edge nodes).
- Showcase Dual-Language Mastery: Clear division between Python (prototyping/training) and C++ (inference optimization/hardware memory management).
Technical Concepts to Review Before Applying
- Neurosymbolic & RL Alignment: Integrating structured domain rules with neural representations, alongside RLHF/RLAIF pipelines.
- Quantization & Parameter-Efficient Fine-Tuning: Mechanics of LoRA, QLoRA, and FP4/FP8 post-training quantization for resource-constrained deployment.
- Vector Retrieval at Scale: Indexing strategies in Milvus/FAISS for real-time agent memory retrieval.
Documents to Prepare
- Comprehensive Resume emphasizing LLM/VLM deployments and system architecture achievements.
- Degree certificates (Master's or Ph.D.) and transcripts.
- Links to your GitHub profile, open-source agent repositories, or published papers.
Mini Glossary
- VLM: Vision-Language Model, an AI architecture capable of processing and joint-reasoning over text and visual input.
- Agentic AI: Autonomous systems that break complex goals into sub-tasks, execute multi-step planning, and utilize tools.
- LoRA/QLoRA: Low-Rank Adaptation (and Quantized LoRA), techniques for parameter-efficient fine-tuning of large models.
- Embodied AI: Artificial intelligence agents operating within physical bodies or complex simulation environments.
Direct Official Link: Apply directly on the official Technology Innovation Institute careers portal. On the careers page, search for this role. NYAGULF JOBS provides verified career information and never charges candidate fees.
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