Senior Machine Learning / AI Engineer

Trust In SODA

Comunidad de Madrid

Presencial

EUR 70.000 - 110.000

Jornada completa

Hace 10 días
Generador de candidaturas

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Descripción de la vacante

Trust In SODA in Madrid is seeking a Senior AI/ML Engineer to lead production-grade AI systems, employing LLMs, RAG, LangChain, and LangGraph to transform learning experiences.

You will collaborate with Product, Data, and Engineering teams to design scalable AI pipelines and deploy models in production, focusing on responsible, robust AI and performance. The role offers a fast-growing, product-led environment.

Formación

  • Strong Python, ML, and software engineering experience.
  • Hands-on experience with LLMs, RAG, LangChain and/or LangGraph.
  • Track record deploying AI/ML systems into production.

Responsabilidades

  • Build and deploy AI-powered products at scale.
  • Design agentic AI systems and LLM-based solutions.
  • Develop RAG pipelines, evaluation frameworks, and ML infrastructure.
  • Collaborate with Product, Data, and Engineering teams.
  • Drive AI innovation and influence technical strategy.

Conocimientos

Python
ML
Software engineering
LLMs
RAG
LangChain
LangGraph
Production deployment

Herramientas

LangChain
LangGraph
LLMs

Descripción del empleo

About the Company

Join a fast-growing, product-led technology company using AI to transform the way millions of users learn, engage, and develop new skills.

About the Role

We're looking for a Senior AI/ML Engineer to lead the development of production-grade AI systems, working with cutting-edge technologies including LLMs, RAG architectures, LangChain, LangGraph, and multi-agent workflows.

Responsibilities
  • Build and deploy AI-powered products at scale
  • Design agentic AI systems and LLM-based solutions
  • Develop RAG pipelines, evaluation frameworks, and ML infrastructure
  • Collaborate with Product, Data, and Engineering teams
  • Drive AI innovation and influence technical strategy
Qualifications
  • Strong Python, ML, and software engineering experience
  • Hands-on experience with LLMs, RAG, LangChain and/or LangGraph
  • Track record deploying AI/ML systems into production
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