Ultralytics LLM Engineer

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Ultralytics

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AI Infrastructure

Tech Stack

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.

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