
Staff/Senior AI Engineer – Video AI, LLM Systems
Lucidya | لوسيديا
full-time
Posted on:
Location Type: Remote
Location: Saudi Arabia
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Job Level
Tech Stack
About the role
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningComputer VisionVideo AnalysisLarge Language ModelsMultimodal systemsModelingInfrastructureDeploymentMonitoringPerformance management
Soft Skills
Strong communication skillsMentoringProactiveClarity in technical discussionsThriving in fast-paced environments