GenAI ML Engineer - LLMs, AI Agents, MLOps | Madrid

UST; Madrid; Hybrid; EUR 60,000 - 95,000; Full time

Benefits offered by this job

Annual leave 23 days

Healthcare plan

Flexible benefits

Training platforms

Career progression

Referral bonuses

12/14 payments per year

Work-life balance

Club & gym discounts

Job summary

UST, a multinational technology company, seeks a Machine Learning Engineer in Madrid to design, build, and deploy enterprise AI solutions leveraging Generative AI, LLMs, and MLOps. You will work with cross-functional teams to productionize AI models and improve agentic workflows.

The role requires visiting client sites in central Madrid three days per week, strong Python skills, and English at C1. This position offers growth, training, and competitive benefits.

Qualifications

• Bachelor’s or Master’s degree in CS/DS/Math/Stats or related field.
• Strong programming skills in Python.
• Hands-on experience with ML frameworks such as TensorFlow and/or PyTorch.
• Proven experience with Large Language Models (LLMs).
• Solid understanding of AI Agents, agentic workflows, orchestration frameworks, and reasoning patterns.
• Experience designing and implementing RAG architectures.
• Knowledge of data preprocessing, feature engineering, model selection, and evaluation techniques.
• Strong background in statistics, probability, linear algebra, and optimization.
• Experience applying software engineering best practices, including version control, testing, and documentation.
• English level C1.

Responsibilities

• Develop, deploy, and optimize Machine Learning and AI solutions for complex business challenges.
• Design and implement multi-agent systems and enable AI models with function/tool-calling capabilities.
• Build and maintain Retrieval-Augmented Generation (RAG) solutions using enterprise data.
• Evaluate, integrate, and optimize AI models, including Large Language Models (LLMs).
• Design and improve agentic workflows and AI agents for production environments.
• Test and optimize prompts and few-shot examples to ensure accurate, consistent, and safe AI outputs.
• Evaluate model performance using appropriate metrics, benchmarks, and validation techniques.
• Collaborate with Data Scientists, Data Engineers, Platform Teams, and other stakeholders.
• Participate in code reviews, testing, debugging, and quality assurance activities.
• Contribute to the full AI lifecycle, from design and development to deployment and monitoring.

Skills

Python

TensorFlow

PyTorch

LLMs

Education

Bachelor’s or Master’s degree in CS/DS/Math/Stats

Job description

UST, a multinational technology company, seeks a Machine Learning Engineer in Madrid to design, build, and deploy enterprise AI solutions leveraging Generative AI, LLMs, and MLOps. You will work with cross-functional teams to productionize AI models and improve agentic workflows.

The role requires visiting client sites in central Madrid three days per week, strong Python skills, and English at C1. This position offers growth, training, and competitive benefits.