LLM Engineer

About the Company

At Ultralytics, we commit to relentless innovation in the AI space and seek team members who resonate with our ambition to produce the world's best YOLO AI models. We thrive in dynamic, high-intensity environments focused on making a profound impact on the future of AI.

Responsibilities

• Develop and scale robust LLM-powered applications using APIs like OpenAI, Anthropic, and Gemini
• Implement and manage multi-API workflows using tools like LiteLLM
• Build sophisticated Retrieval-Augmented Generation (RAG) systems using embeddings, rerankers, and query enrichment
• Design and maintain efficient data pipelines and vector storage solutions using MongoDB Atlas Vector Search
• Fine-tune LLMs on custom datasets for specialized tasks
• Collaborate with the YOLO development team to build innovative multimodal solutions
• Automate deployment and testing processes using CI/CD pipelines with GitHub Actions

Requirements

• 5+ years of experience in software engineering with a focus on AI and machine learning
• Expert-level proficiency in Python and PyTorch
• Proven experience building applications with LLM APIs (OpenAI, Anthropic, Gemini, DeepSeek)
• Hands-on experience with the full RAG pipeline and vector embeddings
• Practical knowledge of LLM fine-tuning and prompt engineering
• Familiarity with MLOps and CI/CD tools like GitHub Actions
• Legal authorization to work in the UK

Preferred Qualifications

• Strong interest in computer vision
• Understanding of object detection models like Ultralytics YOLO

Benefits

• Competitive salary and equity packages
• Hybrid flexibility (3 days in-office, 2 days remote)
• 24 days vacation plus birthday off and local holidays
• Flexible working hours
• High-end gear including Apple MacBook and Studio Display