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Ultralytics

Develops real-time computer vision AI models

LLM Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UK

About the Job

Requirements

  • At least 5 years of software engineering experience, with a strong focus on artificial intelligence and machine learning.
  • Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch.
  • Experience building and deploying applications with LLM APIs such as OpenAI, Anthropic, Gemini, and DeepSeek.
  • Hands-on experience with the full Retrieval-Augmented Generation pipeline, including vector embeddings, rerankers, and data indexing in databases such as MongoDB.
  • Practical knowledge of LLM fine-tuning, prompt engineering, and performance optimization.
  • Familiarity with MLOps principles and tools, including continuous integration and continuous delivery with GitHub Actions.
  • Ability to perform in a fast-paced, high-intensity environment.

Responsibilities

  • Develop and scale robust LLM-powered applications using APIs including OpenAI, Anthropic, and Gemini.
  • Implement and manage multi-API workflows using tools such as LiteLLM to ensure flexibility and resilience.
  • Build Retrieval-Augmented Generation systems using embeddings with Voyage AI, 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 to improve performance for documentation and user-support tasks.
  • Collaborate with the YOLO development team to explore and build multimodal solutions.
  • Automate deployment and testing processes using continuous integration and continuous delivery pipelines with GitHub Actions.

Desired Qualifications

  • A strong interest in computer vision and an understanding of object detection models such as Ultralytics YOLO26.

About the Company

Ultralytics

Develops real-time computer vision AI models

Ultralytics builds computer vision AI tools for creating, training, and deploying models. Its HUB platform is a no-code web and mobile tool where users drag and drop datasets, train in the cloud, collaborate with teams, and export models with an inference API. Ultralytics YOLO offers fast real-time object detection, segmentation, classification, and tracking for deployment on edge devices and cloud. The company differentiates itself with a strong open-source base paired with an enterprise licensing model, paid HUB plans, and managed data labeling, aiming to make AI accessible and scalable for individuals and businesses.

Company size
51-200
Company stage
Series A
Total funding
$30M
Headquarters
London, United Kingdom
Founded
2014

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