This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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