Luma AI is building the next era of AI with Omni models. This AI Product Engineer role involves architecting the backbone of their agentic platform, transforming creative, non-deterministic agent behaviors into reliable, scalable systems. You will build infrastructure for complex reasoning engines to serve millions of creators with low latency and high fidelity, focusing on production-grade agents, orchestration layers for multi-step tasks, and frameworks to manage the non-deterministic nature of LLMs and VLMs, ensuring consistent quality for end-users.

Must Have

• Track record of building and scaling complex backend infrastructure, ideally involving asynchronous processing or distributed systems.
• Professional experience architecting the stack for AI products, moving beyond simple API calls to complex state management.
• Expert-level fluency in Python and modern cloud infrastructure, with a focus on code quality and maintainability.

The Opportunity

Luma AI is building the next era of AI with Omni models that can see, hear, and understand the world. As a full-stack company, we control the entire vertical from the GPU cluster to the user interface. We operate with the resources to compete at the forefront while maintaining a lean structure that ensures you will be part of the core engineering group solving the most challenging problems.

Where You Come In

You will architect the backbone of our agentic platform. This role involves transforming creative, non-deterministic agent behaviors into reliable, scalable systems. You will build the infrastructure that allows complex reasoning engines to serve millions of creators with low latency and high fidelity.

What You Will Build

• Production-Grade Agents: Architect the backend systems that make agentic workflows scalable, observable, and performant.
• Orchestration Layers: Design high-throughput systems capable of managing asynchronous multi-step tasks across video generation and reasoning models.
• Reliability in Chaos: Build frameworks to manage the non-deterministic nature of LLMs and VLMs, ensuring consistent quality for end-users.

The Profile We Are Looking For

• Systems Authority: You have a track record of building and scaling complex backend infrastructure, ideally involving asynchronous processing or distributed systems.
• Agentic Specialization: You have professional experience architecting the stack for AI products, moving beyond simple API calls to complex state management.
• Engineering Rigor: You possess expert-level fluency in Python and modern cloud infrastructure, with a focus on code quality and maintainability.

Compensation

The base pay range for this role is $170,000 – $360,000 per year.