Ultralytics LLM Engineer
Core
Researching, fine-tuning, and deploying state-of-the-art LLMs; designing and deploying Retrieval-Augmented Generation (RAG) applications; building internal tools and APIs to integrate LLM functionalities into Ultralytics solutions.
Role type
Senior LLM Engineer (NLP/Generative AI)
Builds
Production LLM applications, RAG systems, and internal AI tools for Ultralytics solutions
Domain
Artificial Intelligence / Natural Language Processing / Generative AI
Deliverable
production ML models
Required skills
Python, LLMs, transformer architectures, NLP concepts, model fine-tuning, production deployment, API integration (Anthropic, OpenAI, Voyage, DeepSeek, Gemini), RAG application design, query enrichment, reranking, SOC 2/ISO compliance, debugging, optimization, Docker, cloud deployment (AWS, GCP, Azure)
Preferred skills
Open-source AI tools familiarity, technical documentation, open-source community engagement
Technologies
Python, Docker, AWS, GCP, Azure, Anthropic, OpenAI, Voyage, DeepSeek, Gemini
Responsibilities
Researching and fine-tuning LLMs; developing APIs and tools for LLM integration; optimizing model performance; implementing automated data quality checks; designing and deploying RAG applications; enhancing search relevance systems; building internal company tools; ensuring SOC 2 and ISO compliance; engaging with the open-source community
Seniority
Senior, hands-on IC