Lead AI Engineer, LLM Apps & Agents (Hybrid Barcelona)

Edreams

Madrid

Híbrido

EUR 90.000 - 130.000

Jornada completa

hace 46 horas
Sé de los primeros/as/es en solicitar esta vacante
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Ventajas ofrecidas por este puesto de trabajo

Hybrid work model
Coursera access
Relocation support
Equipment lifecycle program
Onboarding program

Descripción de la vacante

eDreams ODIGEO is seeking an experienced AI Engineer to join the Data Science team in Barcelona (Hybrid). You will design and build LLM-powered features and intelligent agents for a world‑leading travel platform serving millions of customers.

Responsibilities include deploying AI applications on GCP, ensuring reliability, observability, and safe ship criteria, and collaborating with DS, ML Engineering, IT, and Product teams. English communication is essential.

Formación

  • 5+ years as a Data Scientist or Software Engineer.
  • Strong Python skills and production software engineering fundamentals.
  • Experience building and orchestrating LLM agents and tool use.
  • Experience with cloud platforms (GCP preferred) and shipping APIs.
  • Written and spoken English at professional level.

Responsabilidades

  • Design, build and ship LLM-powered features (chatbots, agents, RAG-based search).
  • Collaborate with Data Science, ML Engineering, IT and Product teams.
  • Deploy AI applications on our cloud platform, leveraging MLOps.
  • Evaluate, monitor and observe AI features in production; ensure security.
  • Stay updated on GenAI trends and share knowledge across the organisation.

Conocimientos

Python
LLM agents
APIs
CI/CD
Prompt engineering
Context management
GCP

Educación

Degree in a quantitative or engineering field

Herramientas

MLflow
Vertex AI
Kubeflow

Descripción del empleo

eDreams ODIGEO is seeking an experienced AI Engineer to join the Data Science team in Barcelona (Hybrid). You will design and build LLM-powered features and intelligent agents for a world‑leading travel platform serving millions of customers.

Responsibilities include deploying AI applications on GCP, ensuring reliability, observability, and safe ship criteria, and collaborating with DS, ML Engineering, IT, and Product teams. English communication is essential.

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