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Software Engineer - Backend Systems

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Luma AI

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Location:
United States , Palo Alto

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Contract Type:
Not provided

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Salary:

170000.00 - 360000.00 USD / Year

Job Description:

We are looking for versatile and product-minded Backend Engineers to build the Product Engine that powers Luma’s generative AI. You will bridge the gap between our Foundational Models and our users, architecting the robust application layer that makes our intelligence accessible, reliable, and magical. This is a product engineering role focused on core infrastructure, APIs and user experience, not a data engineering role focused on offline batch processing or training pipelines. The ideal candidate is a proactive, adaptable builder who thrives in a fast-paced startup environment and demonstrates strong product instincts.

Job Responsibility:

  • 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

Requirements:

  • 8+ years of experience with a proven record of shipping impactful, user-focused products
  • Strong proficiency in a backend language like Python or Go
  • Understanding of production orchestration and how to debug a crashing service in Kubernetes
  • Strong understanding of security, authentication, and best practices for designing public-facing APIs
  • Generalist who enjoys hopping from one challenge to the next and thrives in the face of ambiguity

Nice to have:

  • Experience building or deploying agentic systems, co-pilot style features, or other complex LLM-powered workflows
  • Background building backend systems for creative tools or media-rich apps (video, images, audio)
  • Exposure to or experience with frontend development (TypeScript, React) enabling you to empathize with client-side challenges

Additional Information:

Job Posted:
January 13, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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