LLM Engineer
Ultralytics3 months ago
London, United KingdomSenior
Responsibilities
- Develop and scale LLM-powered applications using OpenAI, Anthropic, Gemini, and other APIs.
- Implement resilient multi-API workflows with LiteLLM.
- Build RAG systems using embeddings, rerankers, query enrichment, and data indexing.
- Design and maintain data pipelines and vector storage using MongoDB Atlas Vector Search.
- Fine-tune LLMs on custom datasets for documentation and user-support applications.
- Collaborate with the YOLO development team on multimodal solutions.
- Automate deployment and testing processes with GitHub Actions.
Requirements
- At least 5 years of software engineering experience with a strong focus on AI and machine learning.
- Expert-level Python proficiency and deep learning experience, particularly with PyTorch.
- Experience building and deploying applications with OpenAI, Anthropic, Gemini, and DeepSeek APIs.
- Hands-on experience with complete RAG pipelines, vector embeddings, rerankers, and MongoDB-based indexing.
- Knowledge of LLM fine-tuning, prompt engineering, and performance optimization.
- Familiarity with MLOps and GitHub Actions-based CI/CD workflows.
- Strong interest in computer vision and understanding of object detection models such as Ultralytics YOLO26.
- Existing legal authorization to work in the UK.
- Strong problem-solving skills and ability to work in a fast-paced environment.
Benefits
- Full-time hybrid work in London with three days per week in the office and two days remote.
- 24 vacation days, a birthday day off, and local holidays.
- Flexible working hours.
- Equity packages.
- Apple MacBook Air or Pro, Apple Studio Display, and AirPods Pro 3.
- Opportunity to work on cutting-edge AI and open-source software.
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