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Ultralytics LLM Engineer
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AI Infrastructure
About the Role
Ultralytics seeks an LLM Engineer to advance large language model capabilities. This is a full-time, permanent role based in Madrid with Remote EURO timezone option. Ultralytics serves over 100,000 organizations worldwide using YOLO technology.
Posted: January 3, 2025 (still active)
Key Responsibilities:
- Researching, fine-tuning, and deploying state-of-the-art LLMs
- Developing APIs and tools to enable seamless integration of LLM functionalities
- Optimizing model performance for scalability and efficiency
- Building internal tools leveraging LLM capabilities
- Designing and deploying Retrieval-Augmented Generation (RAG) applications
- Enhancing query enrichment and reranking systems
- Ensuring compliance with SOC 2 and ISO standards
- Community engagement and technical documentation
Required Qualifications:
- 5+ years of experience with Python and AI/ML frameworks
- Extensive experience working with LLMs and transformer architectures
- Strong NLP fundamentals: tokenization, embeddings, fine-tuning
- Production-level LLM deployment experience
- Expertise with APIs from Anthropic, OpenAI, Voyage, DeepSeek, and Gemini
- RAG application design and implementation
- Strong debugging and optimization skills
- Docker and cloud deployment (AWS, GCP, or Azure)
Compensation & Benefits:
- Competitive salary (experience and location-dependent)
- 24 days paid vacation, your birthday off, plus local holidays
- Home setup allowance: $550
- MacBook Air provided
- Flexible hybrid/remote work
Candidates must be eligible to work as an independent contractor in their home country. No visa sponsorship.