About Luma AI

Where You Come In

What You'll Do

• Architect the "Product Engine": Design and build low-latency distributed systems and high-traffic client-facing APIs that wrap our foundational models in a reliable product experience.
• Scale the Agent Stack: Take ownership of our AI agent infrastructure, building the persistent state and execution layers required for autonomous agentic workflows.
• Serve Intelligence Real-Time: Work with our applied research and model inference teams to expose SOTA model capabilities optimizing for latency (p99) and availability to ensure instant, magical feedback for users.
• Own Critical Business Systems: Build and scale the "nervous system" of Luma, managing the core business logic, including authentication, transactional billing, and real-time user state management.
• Collaborate for User Delight: Partner closely with product, design, and research teams to translate user needs into elegant backend solutions, ensuring the "feel" of the product is fast and responsive.

Who You Are

• A Product Systems Engineer: You care as much about the User Experience (latency, polish, reliability) as you do about the code.
• Experienced Builder: You have 8+ years of experience with a proven record of shipping impactful, user-focused products.
• Polyglot & Proficient: You have strong proficiency in a backend language like Python or Go, with a willingness to learn across the stack.
• Infrastructure-Aware: You don't just deploy containers; you understand production orchestration and how to debug a crashing service in Kubernetes.
• Security Minded: You possess a strong understanding of security, authentication, and best practices for designing public-facing APIs.
• Adaptable: You are a generalist who enjoys hopping from one challenge to the next and thrives in the face of ambiguity.

What Sets You Apart (Bonus Points)

• AI Agentic Systems: Experience building or deploying agentic systems, co-pilot style features, or other complex LLM-powered workflows.
• Media-Heavy Applications: A background building backend systems for creative tools or media-rich apps (video, images, audio).
• Full Stack Familiarity: Exposure to or experience with frontend development (TypeScript, React) enabling you to empathize with client-side challenges.

Compensation