Senior Machine Learning / AI Engineer

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

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