Level

Ultralytics

LLM Engineer

Ultralytics is hiring an LLM Engineer in London, United Kingdom. Level rates it ; you can apply on Ultralytics.

Level's read on this job

  • Builds AI ●●●● is how Level rates this LLM engineer role: the job is building AI systems.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions OpenAI, Anthropic and Gemini among its tools and skills.
  • Level classes it as a senior role.
  • Ultralytics has 14 other open roles on Level.

AI in this role

Spearhead the development and integration of advanced language model capabilities and RAG systems across our computer vision ecosystem.

openaianthropicgeminideepseekpytorchpythonlitellmmongodbgithub-actions
prompt-engineeringragfine-tuningml-opscomputer-visionllmembeddingsmultimodal

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.

🌎 Where and how you can work

This full-time LLM Engineer position is based at our brand-new Ultralytics office 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) 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 multimodal solutions.

  • Automating deployment and testing processes using CI/CD pipelines with GitHub Actions.

Your work will directly enhance the Ultralytics 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 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. 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.

  • 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 and contribute to leading open-source 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.

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 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 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.

How we rate this

LLM Engineer at Ultralytics rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringRAGFine-tuningML OpsComputer visionLLMEmbeddingsMultimodal

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How would you design a retrieval step so the model answers from real data instead of guessing?
  3. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  4. How do you monitor a model once it's live, and how do you know it needs retraining?
  5. Walk me through a computer vision problem you solved, from raw data to a deployed model.

Adapt your resume

  • List these exact terms on your resume: Prompt engineering, RAG, Fine-tuning, ML Ops, and Computer vision. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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