Senior GenAI & Agentic Systems Engineer (ML)

Provectus; Madrid; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Provectus is hiring an ML Engineer in Madrid to build AI/ML solutions that impact society. You will work on production-grade models, NLP, LLMs, and recommender systems, collaborating with engineers, data scientists, and product managers.

The role emphasizes robust software engineering, documentation, and continuous experimentation. Strong Python and Docker skills, plus upper-intermediate English, are essential for cross-functional teamwork in a fast-moving environment.

Formación

• Experience with standard ML algorithms and underlying math.
• Hands-on production experience with LLMs, RAG, and agentic systems.
• AWS Bedrock experience strongly preferred.
• Proven ability with solving classification and regression tasks and feature engineering.
• Production ML model experience.
• Experience with NLP, LLMs, and recommender systems.
• Solid software engineering; modular code beyond notebooks.
• Proficiency in Python and Docker.
• English level: strong upper-intermediate.
• Excellent communication and problem-solving skills.

Responsabilidades

• Create ML models from scratch or improve existing models.
• Collaborate with engineering, data science, and product teams on production models.
• Develop experimentation roadmap.
• Set up reproducible experimentation environment and pipelines.
• Monitor and maintain ML models in production for optimal performance.
• Write clear documentation for ML models, processes, and pipelines.
• Stay updated with ML/AI developments and propose innovative solutions.

Conocimientos

Python

Docker

LLMs in production

RAG architecture

Agentic systems

NLP

Recommendation engines

Software engineering

ML algorithms

Math

English (upper-intermediate)

Herramientas

AWS Bedrock

Descripción del empleo

Provectus is hiring an ML Engineer in Madrid to build AI/ML solutions that impact society. You will work on production-grade models, NLP, LLMs, and recommender systems, collaborating with engineers, data scientists, and product managers.

The role emphasizes robust software engineering, documentation, and continuous experimentation. Strong Python and Docker skills, plus upper-intermediate English, are essential for cross-functional teamwork in a fast-moving environment.