Staff / Senior AI Engineer (Video AI & LLM Systems) Lucidya

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.