LLM Engineer
Ultralytics · London, England, GB · Madrid, Madrid, ES
Applied AIonsitesenior
At a glance
Highlights
- Spearhead advanced language model capabilities across Ultralytics ecosystem.
- Merge language models with cutting-edge computer vision technologies.
- Enhance the Ultralytics Platform empowering global developers and researchers.
What they offer
- Competitive salary based on experience
- Equity packages
- Hybrid flexibility: 3 days in office, 2 days remote
- 24 days vacation, birthday off, plus local holidays
- Flexible working hours
- Brand-new Apple MacBook Air/Pro, Studio Display and AirPods Pro 3
- Cutting-edge AI projects and open-source contribution
Ideal candidate
AI-obsessed builder who thrives in high-intensity, high-ownership environments and is driven to advance vision-language AI for developers worldwide.
Requirements
- 5+ years of experience in software engineering with focus on AI and machine learning
- Expert-level proficiency in Python and PyTorch
- Proven experience building and deploying applications with LLM APIs including OpenAI, Anthropic, Gemini and DeepSeek
- Hands-on experience with full RAG pipeline including embeddings, rerankers and indexing in MongoDB
- Practical knowledge of LLM fine-tuning, prompt engineering and performance optimization
- Familiarity with MLOps principles and CI/CD with GitHub Actions
- Strong interest in computer vision and understanding of object detection models like YOLO
- Excellent problem-solving skills and ability to perform in fast-paced environment
- remote policy
- 3 days in-office, 2 days remote
- visa sponsorship
- No visa sponsorship
Lab profile
About Ultralytics
Develops Ultralytics YOLO models for computer vision and AI innovation.
What they build
- Ultralytics YOLO
- YOLO AI models
Known for
- Computer vision
- YOLO model development
- Embedded vision
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