Descripción de la oferta
MITO AILocation: Madrid (Hybrid)About MITO AIMITO AI is a collaborative, AI-native platform reinventing how films, commercials, and music videos are made. We are building the operating system for a $300B+ global video production industry as it shifts to AI-native workflows.Headquartered between San Francisco (team of 2) and Madrid (team of 14), MITO combines state-of-the-art AI models for image, video, and audio with professional-grade editing tools in a multiplayer, browser-based canvas. Creators and teams can also bring ideas to life by directing an AI agent that generates scripts, scenes and edits in real time.MITO was founded by Iñaki Berenguer (Master MIT, PhD Cambridge, 5x founder and CEO, founded social photo startup Pixable acquired by SingTel, founded of CoverWallet $1.6B premium revenue and $300M exit in 4 years, founded AI infrastructure company iPronics, which has raised $50M) & Danny Saltaren (award-winning product designer at 2 tech unicorns, National Design Award recipient) and Arantxa Barcia (Art Director).We are backed by Lightspeed Venture Partners and investors including Kibo, Kfund, Sequoia and a16z scouts, LifeX, Everywhere, 5 unicorn founders, and execs from Github and Roblox.Role OverviewThis role designs and ships the intelligence layer behind storyboarding, scene generation, multi-model orchestration, and creative assistance. You will turn raw model capability into usable creative leverage.Key ResponsibilitiesAI Systems DesignArchitect orchestration across multiple AI video, image, and audio modelsDesign structured prompt frameworks for scene-based generationBuild embedding, retrieval, and context systems across projects and assetsCreate intelligent agents that assist in storytelling and editing workflowsRAG & Context SystemsDevelop retrieval systems across scripts, scenes, and creative referencesBuild context-aware AI assistants for multi-scene narrative projectsOptimize latency and cost across multi-step generation flowsExperimentation & ShippingRapidly prototype features using LLMs, and frontier video modelsDesign evaluation frameworks for creative quality, consistency, and coherenceImplement feedback loops to improve outputs over timeIntegration & PerformanceBuild APIs in Node.js and Python to serve AI-driven functionalityWork closely with data engineering on asset pipelines and traceabilityEnsure outputs are reliable across collaborative environmentsTechnical StackNode.js • PythonLLM APIs (OpenAI, Anthropic, Gemini)Video & Image AI modelsVector search systemsDocker • Cloud infrastructureExperience with multimodal AI systems is highly valuable.Ideal Profile3+ years in applied AI, ML systems, or AI-focused full-stack engineeringHands-on experience with RAG, embeddings, and prompt designStrong intuition for where AI adds leverage vs noiseComfortable orchestrating multiple models into a coherent workflowFast experimenter with product intuitionExcited by creative tools, storytelling, and video systemsWhat Success Looks LikeAI features feel intentional, not gimmickyStoryboarding and scene generation feel magical but controllableMulti-model orchestration is seamlessCreative professionals feel empowered, not replacedMITO ships intelligent capabilities faster than competitors
