Descripción de la oferta
MITO AI
Location: Madrid (Hybrid)
About MITO AI
MITO 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 (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) & (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 Overview
This 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 Responsibilities
AI Systems Design
Architect orchestration across multiple AI video, image, and audio models
Design structured prompt frameworks for scene-based generation
Build embedding, retrieval, and context systems across projects and assets
Create intelligent agents that assist in storytelling and editing workflows
RAG & Context Systems
Develop retrieval systems across scripts, scenes, and creative references
Build context-aware AI assistants for multi-scene narrative projects
Optimize latency and cost across multi-step generation flows
Experimentation & Shipping
Rapidly prototype features using LLMs, and frontier video models
Design evaluation frameworks for creative quality, consistency, and coherence
Implement feedback loops to improve outputs over time
Integration & Performance
Build APIs in Node.js and Python to serve AI-driven functionality
Work closely with data engineering on asset pipelines and traceability
Ensure outputs are reliable across collaborative environments
Technical Stack
Node.js • Python
LLM APIs (OpenAI, Anthropic, Gemini)
Video & Image AI models
Vector search systems
Docker • Cloud infrastructure
Experience with multimodal AI systems is highly valuable.
Ideal Profile
3+ years in applied AI, ML systems, or AI-focused full-stack engineering
Hands-on experience with RAG, embeddings, and prompt design
Strong intuition for where AI adds leverage vs noise
Comfortable orchestrating multiple models into a coherent workflow
Fast experimenter with product intuition
Excited by creative tools, storytelling, and video systems
What Success Looks Like
AI features feel intentional, not gimmicky
Storyboarding and scene generation feel magical but controllable
Multi-model orchestration is seamless
Creative professionals feel empowered, not replaced
MITO ships intelligent capabilities faster than competitors
