Senior Machine Learning / AI Engineer

Trust In SODA; Madrid; Presencial; EUR 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Enhanced parental leave

Excellent culture & perks

Descripción de la vacante

Trust In SODA in Madrid is seeking a Senior AI/ML Engineer to lead production-grade AI systems and drive cutting-edge AI capabilities. You will work with LLMs, RAG architectures, LangChain, LangGraph, and multi-agent workflows to shape scalable AI products.

The role requires deep Python and ML expertise, hands-on deployment experience, and strong collaboration with Product, Data, and Engineering teams to influence technical strategy.

Formación

• Proficient in Python with strong ML/engineering background.
• Hands-on experience with LLMs, RAG, LangChain and LangGraph.
• Track record deploying AI/ML systems into production.
• Experience with AWS, Airflow, ML platforms, or similar tooling.

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

Machine Learning

Software engineering

LLMs

RAG

LangChain

LangGraph

Production deployment

AWS

Airflow

ML platforms

Herramientas

AWS

Airflow

ML platforms

Descripción del empleo

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
• Experience with AWS, Airflow, ML platforms, or similar tooling
• Passion for building impactful AI products

Pay range and compensation package

Enhanced parental leave

Excellent company culture and perks

Equal Opportunity Statement

We are committed to diversity and inclusivity.