Ultralytics LLM Engineer

Ultralytics
Full-timeSenior

AI Tools

Anthropic ClaudeDeepSeekGeminiOpenAI GPTVoyage AI

Tech Stack

PythonPyTorchDockerAWSGCPAzureTransformersRAGNLP

Agent Workflow

Designing and deploying RAG applications with query enrichment and reranking systems, integrating LLM capabilities via multiple provider APIs.

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.

Apply Now
Apply Now

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