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Generative AI & LLM Engineer - Hybrid Madrid

Tamarind Intelligence
Madrid, Spain
18 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
€60,000.0 - €100,000.0
Working hours
Regular working hours
Languages
English
Job source
www.jobleads.com

Tech stack

Artificial Intelligence Python (Programming Language) Machine Learning Tensorflow Pytorch Large Language Models Multi-Agent Systems Generative AI

Job description

UST is seeking a Machine Learning Engineer to design, build, and deploy enterprise AI solutions in Madrid. You will work on generative AI, LLMs, and multi-agent systems, with emphasis on RAG architectures and production-grade workflows.

Requirements

You will collaborate with Data Scientists, Data Engineers, Platform Teams, and other stakeholders to deliver scalable AI solutions. The role requires strong Python skills and hands-on experience with TensorFlow or PyTorch, plus English at C1 level.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.jobleads.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:35 min

Preventing remote code execution in PyTorch models

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Fundamentals of tensors and the TensorFlow library

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Tracing the evolution from early AI to generative AI

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Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

1:06 min

Compiling PyTorch environments for advanced time forecasting

Christoph Lohrmann Christoph Lohrmann +1 · WWC Europe 2026

1:51 min

Leveraging generative AI as a collaborative engineering teammate

Anu Bharadwaj Anu Bharadwaj · WWC 2023

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Coffee With Developers • over 1 year ago

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29:27
WWC 2023 • almost 3 years ago

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29:32
WWC Europe 2026 • about 1 month ago

Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)

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38:24
LIVE • about 5 years ago

Machine learning in the browser with TensorFlowjs

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24:51
WWC 2024 • almost 2 years ago

Should we build Generative AI into our existing software?

Simon Müller

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WWC 2023 • about 3 years ago

How E.On productionizes its AI model & Implementation of Secure Generative AI.

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