LLM Engineer
Job Description
Ultralytics, a leading AI company specializing in YOLO AI models and computer vision technology, is seeking a Senior LLM Engineer for their Madrid office. This role represents an exciting opportunity to work at the intersection of Large Language Models and computer vision technology.
The position requires a seasoned professional with 5+ years of experience in software engineering, particularly in AI and Machine Learning. The ideal candidate will possess expert-level Python skills and deep learning framework knowledge, especially PyTorch. They should have demonstrated success in building and deploying LLM applications using various APIs including OpenAI, Anthropic, and Gemini.
Key responsibilities include developing sophisticated RAG systems, managing multi-API workflows, and implementing vector storage solutions with MongoDB Atlas. The role involves close collaboration with the YOLO development team to create innovative multi-modal solutions, combining language models with state-of-the-art computer vision capabilities.
Ultralytics offers a high-intensity, performance-driven environment for exceptional talent. The company operates at a relentless pace, demanding extraordinary dedication and unwavering commitment to excellence. This is not a conventional workplace - it's designed for individuals who are passionate about pushing the boundaries of AI technology and making a significant impact in the field.
Benefits include working with cutting-edge AI technology, the opportunity to shape the future of AI-powered solutions, and being part of a collaborative, innovative team. The position is hybrid-based in Madrid, Spain, and requires legal authorization to work in Spain as visa sponsorship is not provided.
This role is perfect for someone who thrives in a fast-paced environment, is obsessed with AI advancement, and wants to contribute to developing world-class AI solutions. The successful candidate will play a crucial role in enhancing the Ultralytics HUB platform and empowering a global community of developers and researchers.
Responsibilities For LLM Engineer
- Develop and scale LLM-powered applications using various APIs (OpenAI, Anthropic, Gemini)
- Implement and manage multi-API workflows using tools like LiteLLM
- Build sophisticated Retrieval-Augmented Generation (RAG) systems
- Design and maintain data pipelines and vector storage solutions using MongoDB Atlas Vector Search
- Fine-tune LLMs on custom datasets for documentation and user support
- Collaborate with YOLO development team on multi-modal solutions
- Automate deployment and testing processes using CI/CD pipelines
Requirements For LLM Engineer
- 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning
- Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch
- Proven experience building and deploying applications with LLM APIs
- Hands-on experience with RAG pipeline, including vector embeddings, rerankers, and data indexing
- Practical knowledge of LLM fine-tuning, prompt engineering, and performance optimization
- Familiarity with MLOps principles and tools, including CI/CD with GitHub Actions
- Strong interest in computer vision and understanding of object detection models
- Excellent problem-solving skills and ability to perform in fast-paced environment
Benefits For LLM Engineer
- Work on cutting-edge AI computer vision technology
- Opportunity to shape the future of AI-powered solutions
- Collaborative culture with talented team
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