Join a fast-growing AI infrastructure team building a serverless platform for running and customizing open-source LLMs in production. Help customers move from AI prototypes to scalable, reliable production applications without building their own complex inference stacks. Design optimized inference workflows and customized LLM solutions across multiple models and modalities. Work hands-on with inference, fine-tuning, evaluation, prompt engineering, and retrieval-augmented generation. Partner directly with customers to understand technical challenges and translate them into effective AI architectures. Collaborate closely with product and engineering teams to turn customer feedback into platform improvements. Work remotely across Europe in an international environment focused on high-impact AI projects, technical ownership, and continuous innovation.
Accountabilities

Optimize LLM inference workflows across different modalities to deliver measurable business value and meet customer requirements.




Support customers with supervised and reinforcement-learning-based fine-tuning approaches to improve model quality and performance.
Design and implement LLM-powered solutions using serverless inference services and served open-source models.
Build production-ready applications using LLM APIs, including multimodal models covering text, vision, audio, and domain-specific use cases.
Provide technical guidance on prompt engineering, RAG architectures, model selection, inference optimization, and deployment strategies.
Guide customers through the transition from proof of concept to production, with a focus on performance, reliability, scalability, and cost efficiency.
Work closely with product and engineering teams to communicate customer needs, identify platform gaps, and contribute to roadmap development.
Help customers select appropriate models, inference configurations, and fine-tuning strategies based on their use cases and technical constraints.
Contribute to improving the pla

📌 Senior ML Solutions Architect (Madrid)
🏢 Jobgether
📍 Madrid