Senior Machine Learning / AI Engineer

Trust In SODA; Madrid; Presencial; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Enhanced parental leave

Excellent company culture and perks

Descripción de la vacante

Trust In SODA is seeking a Senior AI/ML Engineer to lead production-grade AI systems, working with LLMs, RAG architectures, LangChain, LangGraph, and multi-agent workflows. You will design, build, and deploy AI-powered products at scale and collaborate with Product, Data, and Engineering teams.

The role emphasizes hands-on development, production deployment, and shaping technical strategy, offering a strong culture of innovation and growth in an expanding 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.
• 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

Production deployment

Herramientas

LangChain

LangGraph

LLMs

AWS

Airflow

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.