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Luma AI is building the next era of AI with Omni models that can see, hear, and understand the world. As a full-stack company, we train our own foundational models and build the products that utilize them. We operate with the capital and compute resources necessary to compete at the frontier of AI while maintaining a lean team structure that guarantees you will be part of the core engineering group solving the hardest problems.
Job Responsibility:
Build the intelligence layer that powers autonomous agentic workflows and massive-scale inference
Design systems that can handle the extreme complexity of generative AI, from managing inference pipelines to building infrastructure for autonomous agents
Work directly with the research team to productionize novel capabilities
Build the backend systems that enable autonomous AI agents to perform complex, multi-step creative tasks
Design high-throughput systems capable of serving generative video and audio to millions of concurrent users, solving novel challenges in job queuing and media processing
Build the serving layer for proprietary multimodal models, optimizing for inference speed and reliability
Requirements:
Technical Judgment: history of making high-stakes technical decisions for complex systems, demonstrating engineering judgment to balance speed, reliability, and scale in a production environment
Systems Thinker: track record of building scalable, distributed systems from scratch
Research Collaboration: comfortable operating in a fast-paced environment where engineering influences research
Technical Depth: expert-level fluency in Python, with strong experience in Kubernetes, distributed systems, or AI frameworks