Staff/Senior AI Engineer – Video AI, LLM Systems

Job Description: Own video AI from concept to production. Shape how we deploy and optimize self-hosted LLMs. Influence architecture and engineering standards. Directly impact enterprise customer experiences. Partner with Product to define a roadmap and execute. Design and build end-to-end video analysis pipelines (visual + audio + text). Extract sentiment, intent, and semantic meaning from multimodal data. Deploy models into secure, production environments. Ensure what you ship works in production. Own and optimize self-hosted LLM infrastructure. Manage inference pipelines and performance trade-offs. Ensure scalability, reliability, and security of models. Mentor mid-level and junior engineers. Review code and influence architecture. Bring clarity to technical discussions. Identify gaps and opportunities in existing video capabilities. Define roadmap with Product and deliver meaningful improvements.Requirements: 5+ years (Senior) or 7-8+ years (Staff) in Machine Learning, with strong depth in:- Computer Vision- Video Analysis- Large Language Models- Multimodal systems Shipped real systems to production, not just prototypes. Understanding of the full lifecycle: modeling, infrastructure, deployment, monitoring. Deployed models in containerized environments (Docker, Kubernetes). Working knowledge of cloud or on-prem infrastructure. Managing performance, scaling, and reliability. Hosting LLMs or large models in controlled environments. Proactive in proposing a direction, validating assumptions, and executing. Strong communication skills for clarity. Thriving in fast-paced environments. Nice to Have: Experience in B2B SaaS, recognizable tech brand, Arabic multimodal/NLP exposure, OCR for Arabic text in video, generative video/diffusion models, Edge AI optimization.Benefits: