AWS Engineer

At Ultralytics , we relentlessly drive innovation in AI, building the world's leading YOLO models . We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. This full-time LLM Engineer position is based onsite in our Ultralytics office in Madrid, ES. Applicants must have legal authorization to work in the Spain, as Ultralytics does not provide visa sponsorship.

&##As an LLM Engineer at Ultralytics, you will spearhead the development and integration of advanced language model capabilities across our ecosystem. You will work on cutting-edge projects that merge the power of Large Language Models (LLMs) with our state-of-the-art computer vision technologies. Designing and maintaining efficient data pipelines and vector storage solutions using MongoDB Atlas Vector Search.

Fine-tuning LLMs on custom datasets to enhance performance for specialized tasks related to our documentation and user support.

Automating deployment and testing processes using CI / CD pipelines with GitHub Actions .

Your work will directly enhance the Ultralytics HUB platform and empower our global community of developers and researchers.

&##5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML) .

~ Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch .

~ Hands-on experience with the full RAG pipeline, including vector embeddings , rerankers , and data indexing in databases like MongoDB .

~ Practical knowledge of LLM fine-tuning , prompt engineering, and performance optimization.

~ Familiarity with MLOps principles and tools, including CI / CD with GitHub Actions .

~ Cultural Fit - Intensity Required

Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. Hybrid Flexibility : 3 days per week in our brand-new office - 2 days remote.

Generous Time Off : 24 days vacation, your birthday off, plus local holidays.

Flexible Hours : Tailor your working hours to suit your productivity.

Tech : Engage with cutting-edge AI projects and contribute to leading open-source software.

Gear : Brand-new Apple MacBook and Apple Display provided.