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Lead the development and integration of advanced LLM capabilities and RAG systems within the Ultralytics ecosystem. Collaborate with the YOLO team to build innovative multi-modal solutions and automate deployment via CI/CD pipelines.
Requires over 5 years of software engineering experience with expertise in Python, PyTorch, and deploying LLM applications. Candidates must have practical experience with RAG pipelines, fine-tuning, and MLOps principles.
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.
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.
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.
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.
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.
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.
Cutting-Edge-next generation AI computer vision technology: contribute to building cutting edge computer vision AI models based on the YOLO framework.
Impactful Work: Shape the future of AI-powered solutions that transform industries.
Collaborative Culture: Join a talented and passionate team that values open communication and innovation.
Comprehensive guide to our company’s mission, vision, values, and operational practices. This handbook is designed to provide key insights and resources for our (future) team members, collaborators, and community to align with Ultralytics' core principles.
Link: https://handbook.ultralytics.com/
Ultralytics is an equal opportunity employer and are committed to building an inclusive workplace. We believe that everyone should be able to bring their whole selves to work, and we do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
Simpler. Smarter. Further.
Ultralytics is a leading AI company dedicated to creating transformative, open-source computer vision solutions. As creators of YOLO, the world's most popular real-time object detection framework, we empower millions globally—from individual developers to enterprise innovators—with advanced, accessible, and easy-to-use AI tools. Driven by relentless innovation and a commitment to execution, we continuously push AI boundaries, making it faster, lighter, and more accurate. Our mission is to democratize access to cutting-edge technology, providing everyone an equal opportunity to improve their lives and impact the world positively. Acta Non Verba—actions, not words.
Offices: 50 York Wy, London, N1 9AB, GB · Calle de las Huertas 41, Madrid, Madrid 28014, ES · 9-1 Kefa Road, Shenzhen, Guangdong 518063, CN
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