LLM Engineer
On-site · London, England, United Kingdom
Job Summary
LLM Engineer role focused on developing and integrating advanced LLM capabilities within Ultralytics' ecosystem. Responsibilities include building and scaling LLM-powered applications using APIs from OpenAI, Anthropic, Gemini, and DeepSeek; implementing multi-API workflows with tools like LiteLLM; designing and maintaining Retrieval-Augmented Generation (RAG) systems with embeddings and re-rank/query enrichment; constructing data pipelines and vector storage with MongoDB Atlas Vector Search; fine-tuning LLMs on specialized datasets; collaborating with the YOLO development team to explore multi-modal solutions; and automating deployment and testing through CI/CD (GitHub Actions). This onsite full-time position in London requires legal work authorization in the UK and offers a high-intensity, ownership-driven environment with hybrid flexibility within compensation offerings.
Required Qualifications
- 5+ years of software engineering experience with a focus on AI/ML
- Expert-level proficiency in Python
- Proven experience building and deploying applications with LLM APIs (OpenAI, Anthropic, Gemini, DeepSeek)
- Hands-on experience with RAG pipelines, embeddings, rerankers, and vector storage (MongoDB Atlas Vector Search)
- Experience with fine-tuning LLMs, prompt engineering, and performance optimization
- Familiarity with MLOps and CI/CD (GitHub Actions)
- Strong interest in computer vision and understanding of YOLO models (YOLO11)
- Ability to collaborate with cross-functional teams on multi-modal solutions
- Strong problem-solving skills in fast-paced environments
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