Enterprise AI Field Engineer - Madrid/Barcelona | Equity

Wave Group

Madrid

Híbrido

EUR 81.000 - 99.000

Jornada completa

Hace 12 días
Generador de candidaturas

Transforma esta oferta en una entrevista — un currículum y una carta de presentación creados pensando en lo que quiere el empleador.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Up to 35% bonus
Equity

Descripción de la vacante

Wave Group in Madrid (preferred) or Barcelona, is seeking a Forward Deployed Engineer to bridge the gap between enterprise clients and internal AI systems, tailoring deployments to client workflows and producing measurable production outcomes.

This hands-on role spends ~70% on building and deploying, with ~30% on client-facing work. You'll craft reusable modules and playbooks to accelerate future deployments, leveraging Python, FastAPI and LLMs in production.

Formación

  • Fluent in English with additional Spanish/Italian/German language skills.
  • Direct customer-facing experience (FDE, field engineering, consulting or solutions roles).
  • Strong foundation in Python and FastAPI; production experience with LLMs and Agentic AI.

Responsabilidades

  • Serve as the technical bridge between Wave Group and enterprise customers in your market.
  • Spend ~70% of time building and deploying, ~30% on client-facing activities; translate field learnings into reusable modules and playbooks.

Conocimientos

English
Spanish
Italian
German
French
Portuguese
Customer-facing
Python
FastAPI
LLMs
Agentic AI
Debugging
Startup mindset
Voice AI
Agentic AI experience

Herramientas

Python

Descripción del empleo

Wave Group in Madrid (preferred) or Barcelona, is seeking a Forward Deployed Engineer to bridge the gap between enterprise clients and internal AI systems, tailoring deployments to client workflows and producing measurable production outcomes.

This hands-on role spends ~70% on building and deploying, with ~30% on client-facing work. You'll craft reusable modules and playbooks to accelerate future deployments, leveraging Python, FastAPI and LLMs in production.

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