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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.
Job Responsibility:
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
Requirements:
8+ years of experience as a software engineer, with a proven record of shipping impactful, user-focused products
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
Hands-on experience with containerization and orchestration technologies like Docker and Kubernetes
Strong understanding of security, authentication, and best practices for designing user-facing APIs
A generalist who enjoys hopping from one challenge to the next and is comfortable working on multiple parts of the stack
Experience working in fast-paced startup environments, either as a founder or an early-stage engineer, and thrives in the face of ambiguity
Nice to have:
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 with Frontend Familiarity: Exposure to or experience with frontend development (TypeScript, React)