We're partnering with a fast-growing consumer technology business that is leveraging cutting-edge AI to transform how millions of users learn, engage, and interact with digital products worldwide.

This is an opportunity to join a highly ambitious AI team at a pivotal stage of growth, helping shape the next generation of intelligent, personalised user experiences. You'll be working on real-world, large-scale AI challenges, building production-ready systems that directly impact millions of users globally.

The Opportunity As a Senior Machine Learning / AI Engineer, you'll take ownership of designing and deploying advanced AI systems, helping drive the company's AI strategy while working closely with product, data, and engineering teams.

This is a hands-on role for someone who enjoys moving between research, experimentation, and production, and wants to work on some of the most exciting developments in agentic AI, LLMs, and personalisation.

What You'll Be Doing

Designing, building, and scaling production-grade agentic AI systems

Developing multi-agent workflows using frameworks such as LangChain and LangGraph

Architecting and deploying LLM-powered applications using RAG, vector databases, and prompt engineering techniques

Building intelligent systems that can reason, plan, and act autonomously

Taking ML models from experimentation through to production deployment and monitoring

Driving improvements across AI infrastructure, tooling, and development workflows

Collaborating closely with Product, Engineering, Data Science,



and Design teams to deliver impactful AI-driven experiences

Evaluating emerging AI technologies and helping shape technical strategy across the organisation

Contributing to best practices around AI engineering, experimentation, and model evaluation

What We're Looking For

Strong experience in Machine Learning, AI Engineering, or Applied AI roles

Excellent Python software engineering skills

Proven experience building and deploying LLM-powered applications in production

Hands-on expertise with LangChain, LangGraph, or similar agent orchestration frameworks

Strong understanding of Retrieval-Augmented Generation (RAG), vector databases, and prompt engineering

Experience building scalable ML pipelines and cloud-based AI systems

Knowledge of AWS services such as SageMaker, Lambda, and S3

Experience working with APIs, microservices, and distributed systems

Strong communication skills with the ability to influence technical direction

A passion for emerging AI technologies and building products that have measurable user impact

Why Join?

Work on genuinely challenging AI problems at scale

Influence the direction of AI strategy and product innovation

Collaborate with a high-performing team of engineers, data scientists, and product leaders

Competitive salary and benefits package

Personal development budget and ongoing learning opportunities

Versátil hybrid working model

Private healthcare and enhanced family leave policies

Regular team socials, events, and collaborative culture

#J-18808-Ljbffr

📌 AI Engineer (Madrid)
🏢 Trust In SODA
📍 Madrid