LLM Engineer

About this role

About Ultralytics:

At Ultralytics https://ultralytics.com/, we commit to relentless innovation in the AI space and seek team members https://www.ultralytics.com/about who resonate with our ambition to produce the world's best YOLO AI models https://ultralytics.com/yolo. 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.

🌎 Where and how you can work

This full-time LLM Engineer position is based at our brand-new Ultralytics office https://www.ultralytics.com/about in London, UK, with a hybrid model of three days in-office and two days remote. 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) https://www.ultralytics.com/glossary/large-language-model-llm with our state-of-the-art computer vision https://www.ultralytics.com/glossary/computer-vision-cv technologies. Key responsibilities include:

- Developing and scaling robust LLM-powered applications using a variety of APIs, including OpenAI https://developers.openai.com/api/docs/quickstart, Anthropic https://www.anthropic.com/claude, and Gemini https://deepmind.google/models/gemini/.

- Implementing and managing multi-API workflows using tools like LiteLLM https://www.litellm.ai/ to ensure flexibility and resilience.

- Building sophisticated Retrieval-Augmented Generation (RAG) https://www.ultralytics.com/glossary/retrieval-augmented-generation-rag systems, leveraging advanced techniques like embeddings with Voyage AI https://www.voyageai.com/, rerankers, and query enrichment.

- Designing and maintaining efficient data pipelines and vector storage solutions using MongoDB https://www.mongodb.com/products/platform/atlas-vector-search Atlas Vector Search.

- Fine-tuning LLMs on custom datasets to enhance performance for specialized tasks related to our documentation https://docs.ultralytics.com/ and user support.

- Collaborating with our YOLO https://docs.ultralytics.com/models/yolo26/ development team to explore and build innovative multimodal solutions https://www.ultralytics.com/glossary/multi-modal-model.

- Automating deployment and testing processes using CI/CD pipelines https://www.ultralytics.com/glossary/continuous-integration-ci with GitHub Actions https://github.com/features/actions.

Your work will directly enhance the Ultralytics Platform https://docs.ultralytics.com/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) https://www.ultralytics.com/glossary/machine-learning-ml.

- Expert-level proficiency in Python https://www.python.org/ and deep learning frameworks, particularly PyTorch https://pytorch.org/.

- 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 https://www.mongodb.com/.

- Practical knowledge of LLM fine-tuning https://www.ultralytics.com/glossary/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 https://www.ultralytics.com/blog/all-you-need-to-know-about-computer-vision-tasks and an understanding of object detection models like Ultralytics YOLO26 https://docs.ultralytics.com/models/yolo26/ is a significant plus.

- Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment.

🌟 Cultural fit

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 https://handbook.ultralytics.com/mission-vision-values/. Our team https://www.ultralytics.com/about 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.

- Equity packages: 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 working hours: Tailor your working hours to suit your productivity.

- Tech & tools: Engage with cutting-edge AI projects https://www.ultralytics.com/solutions and contribute to leading open-source https://github.com/ultralytics software.

- Gear: Brand-new Apple MacBook Air/Pro, Apple Studio Display, and AirPods Pro 3.

- Team: Become part of a supportive and passionate team environment https://www.ultralytics.com/about.

What we offer:

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.

Ultralytics Handbook

Comprehensive guide to our company's mission, vision, values, and operational practices. This…