AI Engineer

The role designs, develops and deploys production AI solutions for UXE, concentrating on computer vision, video analytics and edge AI, while also supporting Arabic/English agentic AI initiatives.Hands-on role covering solution architecture, model development, optimization and integration across UXE's AI projects. Work with software, DevOps, infrastructure and business teams from PoC through deployment.Job Responsibilities and Accountabilities•   Design and evaluate detection, tracking, segmentation, classification and video-analytics solutions.•   Build low-latency multi-camera pipelines for NVIDIA Jetson and GPU platforms.•   Optimize models using ONNX, TensorRT, CUDA, DeepStream or GStreamer and measure accuracy, precision and recall, false alarms, throughput and latency.•   Integrate AI with APIs, databases, VMS, cameras and backend systems; implement monitoring, resilience and rollback so deployed systems are robust, scalable and maintainable.•   Develop and evaluate Arabic/English RAG, LLM and agentic workflows with guardrails and human review.•   Work with cross-functional teams to capture project requirements and deliver AI solutions that meet business needs.•   Lead technical design, code/model reviews, documentation, mentoring, customer workshops and production troubleshooting.•   Track advances in AI, machine learning and computer vision; conduct research and internal PoCs that contribute to the continuous improvement of UXE's AI capabilities.Experience Required•   4 years of professional experience in AI, machine learning or computer vision, including at least 2 years delivering systems into live production.•   Proven track record of taking AI solutions from proof of concept through deployment and ongoing operation.•   Experience with real-time image and video analytics at scale, including tuning against accuracy, latency and throughput targets.•   Exposure to LLM, RAG or agentic AI development, together with technical leadership or mentoring of engineers.•   Experience delivering technology projects in the UAE is strongly preferred.Qualifications•   Bachelor’s or Master’s degree in Computer Science ,Electrical Engineering, AI, Machine Learning, Computer Engineering or a related field.•   Equivalent practical experience may be considered with a strong portfolio of deployed AI systems.•   A Ph.D. in a relevant field is an advantageTechnical Skills Required•   Python, PyTorch, OpenCV, Linux, Git, Docker, APIs and production debugging, with disciplined code review and agile delivery practices.•   NVIDIA Jetson, ONNX, TensorRT, and DeepStream; CUDA and C++ are advantageous.•   Cloud platforms (AWS, Google Cloud or Azure) and container orchestration with Kubernetes are advantageous for hybrid edge-cloud deployments.•   LLM/RAG/agent frameworks, vector databases, evaluation and guardrails; Arabic AI experience is preferred.Soft Skills•   Strong ownership, analytical troubleshooting, creative problem-solving and sound technical judgement.•   Clear communication of technical concepts to both technical and non-technical stakeholders, with strong documentation, teamwork and mentoring ability.•   Able to balance model quality, performance, hardware constraints and operational risk.