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LLM Engineer at Ultralytics | JobVerse
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LLM Engineer
Ultralytics
Remote
Website
LinkedIn
LLM Engineer
Spain
Full Time
2 hours ago
No Sponsorship
Apply Now
Key skills
AWS
Azure
Cloud
Docker
Google Cloud Platform
Python
AI
ML
NLP
LLM
OpenAI
Anthropic
Gemini
RAG
GCP
Google Cloud
Communication
About this role
Role Overview
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
Collaborating with the team to create innovative AI-driven solutions
Implementing automated checks for data quality and pipeline reliability
Supporting the integration of LLMs with Ultralytics solutions and workflows
Building internal company tools leveraging LLM capabilities
Designing and deploying Retrieval-Augmented Generation (RAG) applications
Enhancing query enrichment, reranking, and search relevance systems
Ensuring compliance with SOC 2 and ISO standards
Engaging with the open-source community to promote adoption and gather feedback
Writing and maintaining technical documentation and guides
Staying at the forefront of LLM advancements and sharing insights with the team
Requirements
5+ years of experience with Python and AI/ML frameworks
Extensive experience working with LLMs and transformer architectures
Strong understanding of NLP concepts, tokenization, embeddings, and fine-tuning
Proven experience deploying LLMs in production environments
Expertise with APIs from Anthropic , OpenAI , Voyage , DeepSeek , and Gemini
Experience with building internal tools leveraging LLM functionalities
Hands-on experience designing and implementing RAG applications
Proficiency in query enrichment and reranking methodologies
Familiarity with SOC 2 and ISO compliance requirements
Strong debugging and optimization skills
Excellent written communication and documentation abilities
Familiarity with open-source AI tools and communities
Experience with Docker and cloud-based deployment AWS , GCP , or Azure
Tech Stack
AWS
Azure
Cloud
Docker
Google Cloud Platform
Python
Benefits
24 days paid vacation
Your birthday off
Local holidays
Home set up Allowance ($550)
A MacBook Air as your work device
Flexible work environment with hybrid and remote options
Apply Now
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