LLM Engineer

Benefits

Additional Information

About Ultralytics: 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 . If you're obsessed with AI, eager to make an impact on the world and thrive in dynamic, high-intensity environments, we invite you to apply for a position on our team. 🌎 Location and Legalities This full-time LLM Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. 🚀 What You'll Do 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. Key responsibilities include: Developing and scaling robust LLM-powered applications using a variety of APIs, including OpenAI , Anthropic , and Gemini . Implementing and managing multi-API workflows using tools like LiteLLM to ensure flexibility and resilience. Building sophisticated Retrieval-Augmented Generation (RAG) systems, leveraging advanced techniques like embeddings with Voyage AI , rerankers , and query enrichment . 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. Collaborating with our YOLO development team to explore and build innovative multi-modal solutions . 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. 🛠️ Skills and Experience 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 . Proven experience building and deploying applications with LLM APIs such as OpenAI , Anthropic , Gemini , and DeepSeek . 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 . A strong interest in computer vision and an understanding of object detection models like Ultralytics YOLO11 is a significant plus. Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment. 🌟 Cultural Fit - Intensity Required Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values . Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI. 💶 Compensation and Benefits Competitive Salary: Highly competitive based on experience. Startup Equity: Participate directly in our company's growth and success. 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. Team: Become part of a supportive and passionate team environment .

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at ultralytics? Share your experience