Proactive AI Engineer: Turn Models into Real-World Systems

ActAI

España

Presencial

EUR 60.000 - 90.000

Jornada completa

hace 39 horas
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Descripción de la vacante

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, owning problems from shaping model behavior to building the surrounding systems for reliable production use.

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

Formación

  • Strong foundation in machine learning and modern neural network architectures.
  • Hands-on experience with training, fine-tuning, or deploying ML models.
  • Ability to write clean, production-quality code.

Responsabilidades

  • 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.

Conocimientos

Python
PyTorch/JAX
Inference/serving
Vector DB

Herramientas

vLLM

Descripción del empleo

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, owning problems from shaping model behavior to building the surrounding systems for reliable production use.

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

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