About ActAI
There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal prompting.
Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. We believe products will greatly reduce hallucinations
Our objective is to organise anyone's life, allowing us all to spend time on valuable and meaningful things
About the Role
ActAI is building a proactive AI system that understands context across conversations, plans actions, and carries work forward over time.
As an Applied AI Engineer, you will turn model capabilities into real product behavior. You will own problems end-to-end, from shaping model behavior, to building the systems around it, to ensuring it performs reliably in production.
This role sits at the intersection of machine learning, systems,
and product, focusing on making AI actually work for users, not just in demos, but in real-world usage.
Focus
Build and ship AI features end-to-end (model → system → user experience)
Design and iterate on prompts, tools, memory, and agent workflows
Turn raw model outputs into structured, reliable, and predictable behaviors
Debug issues across the full stack (model, orchestration, infra, UX)
Optimize for latency, cost, and production reliability
Develop lightweight evaluation frameworks to measure real-world performance
Work closely with product and engineering to translate ambiguous problems into working systems
Tech Stack
Python
PyTorch / JAX
LLMs (OpenAI-style APIs, LLaMA, Qwen, etc.)
Inference / serving (e.g. vLLM)
Vector DB
Idóneo Experience
Strong foundation in machine learning and modern neural network architectures.
Hands-on experience with training, fine-tuning, or deploying M
📌 Applied AI Engineer (España)
🏢 ActAI
📍 España