Artificial Intelligence Engineer

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