Senior Machine Learning Engineer - Remote LLM & Multi-Agent AI Expert

Further Details

We are seeking a highly skilled Senior Machine Learning Engineer for a remote position, focusing on advanced LLM and Multi-Agent AI development. The role involves leading post-training and fine-tuning of Large Language Models, alongside designing sophisticated multi-agent systems. This position is crucial for developing and implementing evaluation and deployment workflows that significantly improve dialogue, memory, and safety features within our social discovery products. Expect to leverage deep Python knowledge and MLOps expertise. Join a dynamic, globally distributed team and contribute to groundbreaking AI solutions. The ideal candidate will possess strong experience with Transformers and LLM optimization techniques, along with a proven ability to construct high-quality datasets for AI model training.

Senior Machine Learning Engineer - Remote AI Opportunities

Explore exciting career prospects as a Senior Machine Learning Engineer, focusing on advanced LLM and Multi-Agent AI. This remote role offers a unique opportunity to contribute to a globally distributed team, driving innovation in social discovery products.

The position demands a strong command of Python, Transformers, and LLM optimization, coupled with a talent for developing sophisticated multi-agent systems and robust MLOps practices.

• Job Title: Senior Machine Learning Engineer
• Location: Remote, Spain (Andalucía)
• Key Focus: LLM post-training, fine-tuning, Multi-Agent AI, MLOps
• Experience: Advanced proficiency required
• Sector: Technology / AI

Additionally, private sector careers are available for qualified candidates.

Skills

• * Deep Python expertise
• * Experience with Transformers and LLM optimization techniques
• * Dataset construction proficiency
• * Strong MLOps fundamentals
• * Experience in LLM post-training and fine-tuning
• * Design of multi-agent systems

Duties and Responsibilities:

• * Lead LLM post-training and fine-tuning efforts
• * Design and implement multi-agent system architectures
• * Build robust evaluation and deployment workflows
• * Enhance dialogue, memory, and safety across social discovery products
• * Drive the ML direction for a remote, globally distributed team
• * Collaborate on dataset construction and AI model training

How to apply

• Visit the application portal via the provided link to submit your application.
• Ensure your CV highlights your expertise in Python, Transformers, LLM optimization, dataset construction, and MLOps.
• Provide details of your experience with LLM post-training, fine-tuning, and multi-agent system design.
• The closing date for applications is 18 December 2026, so ensure timely submission.
• The job reference number is 412293791395033907232465.
• For application support, you may use the provided contact details.