Staff / Senior AI Engineer (Video AI & LLM Systems)
Skills
About This Role
You ll Own Outcomes, Not Just Tasks
- You won t be handed isolated tickets.
- You ll partner with Product to define a roadmap and then execute against it.
- You ll take ideas like video listening and turn them into deployed, reliable features that customers use.
- That means:
- Designing and building end-to-end video analysis pipelines (visual + audio + text).
- Extracting sentiment, intent, and semantic meaning from multimodal data.
- Deploying models into secure, production environments.
- Making sure what you ship doesn t just work in a notebook, but survives in production.
- You ll Build and Run Self-Hosted LLM Systems
- Saudi data regulations require us to host models privately.
- You ll:
- Own and optimize self-hosted LLM infrastructure.
- Manage inference pipelines and performance trade-offs.
- Ensure scalability, reliability, and security.
- Think beyond model accuracy, into cost, latency, and uptime.
- You re not just a researcher.
- You re an end-to-end AI builder.
- You ll Raise the Bar for the Team
- You won t have direct reports, but you will:
- Mentor mid-level and junior engineers.
- Review code and influence architecture.
- Bring clarity to technical discussions.
- Push for higher standards when needed.
- We value people who can disagree respectfully and explain their reasoning clearly.
In Your First 90 Days
- You ll:
- Deep dive into our existing video capabilities.
- Identify gaps and opportunities.
- Define a clear roadmap with Product.
- Start delivering meaningful improvements.
- We measure success by what gets deployed, not by how many experiments you ran.
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