Backend Software Engineer, Luma AI

• The ideal candidate is a proactive, adaptable engineer who thrives in a fast-paced startup environment, takes initiative, and demonstrates strong product instincts
• You have 8+ years of experience as a software engineer, with a proven record of shipping impactful, user-focused products
• You have strong proficiency in a backend language like Python or Go, with a willingness to learn across the stack
• Experience designing and shipping state-of-the-art and high-traffic REST APIs
• You have hands-on experience with containerization and orchestration technologies like Docker and Kubernetes
• You possess a strong understanding of security, authentication, and best practices for designing user-facing APIs
• You are a generalist who enjoys hopping from one challenge to the next and is comfortable working on multiple parts of the stack
• You have experience working in fast-paced startup environments, either as a founder or an early-stage engineer, and thrive in the face of ambiguity

Desirable

• We are looking for versatile and product-minded Backend Engineers to build the core systems that power Luma’s generative AI products, including Dream Machine
• This isn't a siloed role; you'll be a generalist working across the entire product backend, from designing and shipping high-traffic APIs to developing the infrastructure for our agentic systems and ensuring our services are scalable and reliable for millions of users
• Design, build, and maintain scalable backend systems and high-traffic REST APIs
• Collaborate closely with product, design, research, and front-end teams to translate user needs and cutting-edge research into elegant, scalable backend solutions
• Work across a wide range of backend domains, including API development, asynchronous job queuing, infrastructure management, billing systems, and moderation stacks
• Take ownership of our AI agent stack, building and scaling the backend systems for agentic workflows and capabilities
• Work with researchers to integrate advanced video capabilities into our core offerings
• Work with our research team to rapidly prototype, build, and optimize inference pipelines for state-of-the-art ML models
• Contribute to our technical roadmap and product strategy, fostering an inclusive culture that values diverse perspectives

• Your application is reviewed by real people