About Luma A new class of intelligence is emerging systems that understand and generate the world across video images audio and language Building multimodal AGI is not just a research problem Its a fullstack engineering problem spanning training systems inference product architecture and the tight feedback loops between them When a new technological wave begins the highest leverage place to be is at the foundation Not at a startup wrapping someone elses API At the company building the models themselves The frontier is not incremental improvement These models are replacing entire categories of software and enabling entirely new ones At Luma we are A leading multimodal AI research lab having built one of the worlds strongest video generation models Ray314 Pushing beyond video toward the next generation of multimodal general intelligence models Operating at a scale few companies can match with the compute and resources to support frontier research 900M Series C Focused on the creative domain where multimodal systems can have immediate realworld impact Shipping tightly integrated products that turn research breakthroughs into tools creators actually use Were still early The playbook is not written A single exceptional engineer can reshape how the company operates Where You Come In We are looking for senior engineers who understand that the game has changed The era of humans writing code is over AI makes implementation cheap Decisionmaking is now the constraint What to build What not to build Where to draw boundaries What problems deserve structure and which should stay flexible With AI tools weak decisions compound faster Speed amplifies both clarity and mistakes We need technical leaders with exceptional judgment engineers who can direct AI to move quickly while making disciplined choices about scope structure and tradeoffs This role is not about writing more code Its about deciding where code should exist at all You will spend your time on the decisions that shape velocity Translating ambiguous goals into clear technical direction Choosing when to invest in structure and when to stay lightweight Preventing unnecessary complexity from entering the system Aligning product intent with technical reality Teaching others how to use AI tools without overbuilding AI can generate solutions to any prompt It cannot decide which problems are worth solving That responsibility is yours The ideal candidate has deep technical judgment system design architecture security and strong product intuition user needs prioritization UX Whats nonnegotiable you must be worldclass at directing AI agents to achieve real product and engineering outcomes and at guiding technical direction for a team operating at high speed What Youll Do Direct AI coding agents to build production systems quickly while maintaining discipline around system design ownership and realworld behavior Decide what to build amp and what not to build as implementation costs drop Set technical direction across engineering including system boundaries data models ownership and operational expectations Coown product direction in partnership with design and research defining both what we build and how we build it Make and stand behind hard tradeoffs between speed reliability complexity and extensibility Shape architecture early before decisions harden into constraints Own critical outcomes endtoend from problem framing to deployment and iteration Raise the Bar Set the standard for technical depth judgment and production ownership Prevent avoidable complexity from entering the system as iteration speed increases Mentor engineers on how to use AI tools effectively without lowering engineering rigor Identify and eliminate recurring classes of design mistakes before they scale Multiply the Organization Design systems and workflows that allow small teams to ship with outsized impact Attract exceptional engineers and help them grow into highjudgment technical leaders Increase team velocity without increasing operational and conceptual overhead Who You Are Required You have 8 years of experience building and shipping production software You have led multiple nontrivial projects owning technical direction and execution endtoend You have made highstakes technical decisions that materially affected a system or product You are fluent with AI coding tools and have used them to ship real functionality in production or substantial side projects You possess either Strong technical depth System design distributed systems security infrastructure Strong product intuition User empathy prioritization taste in UX Ideally both What Sets You Apart Youve been personally responsible for at least one clearly measurable realworld success For example You led a product that reached 100k users or 1M monthly active users You designed and led a production system serving millions of requests per day You created or led an opensource project with 10k stars or meaningful external adoption Why This Role Exists Most engineering roles optimize mature products This one defines how software gets built inside a frontier multimodal AI lab The decisions you make here will shape How research turns into products How those products scale How fast we can move without losing rigor How engineering operates in an AInative company If you want to help set the standard for technical leadership in this new era of AI we should talk
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