Ultralytics LLM Engineer
ultralytics · Madrid ·
- Employment
- Contract
- Category
- AI engineering
ultralytics · Madrid ·
Who we are
Established in 2010, Ultralytics boasts a global presence with over 100,000 organizations worldwide using Ultralytics YOLO. At Ultralytics, we commit to the relentless innovation in the AI space and seek team members who resonate with our ambition to democratize the power of AI and make it accessible and available to all.
Our vision is to create a future where every person, regardless of means or background, has equal access to transformative AI, enabling them to seize opportunities and shape their own path. Aware that our time is finite, we strive to make a lasting impact that benefits future generations.
How we workAs an Ultralytics LLM Engineer, you will play a pivotal role in advancing our LLM capabilities.
Key responsibilities include: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](https://ultralytics.com/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
Preferred skill set:
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
Cutting-Edge-next generation AI computer vision technology: contribute to building cutting edge computer vision AI models based on the YOLO framework.
Impactful Work: Shape the future of AI-powered solutions that transform industries.
Collaborative Culture: Join a talented and passionate team that values open communication and innovation.
Compensation and Benefits
Competitive salary, depending on experience and location
Time Off: 24 days paid vacation, your birthday off, plus local holidays
Home set up Allowance ($550)
A MacBook Air as your work device
Flexible work environment with hybrid and remote options
The candidate must be eligible to work as an independent contractor in their home country (handbook for more detail)
Ultralytics Handbook
Comprehensive guide to our company’s mission, vision, values, and operational practices. This handbook is designed to provide key insights and resources for our (future) team members, collaborators, and community to align with Ultralytics' core principles.
Link:
Ultralytics is an equal opportunity employer and are committed to building an inclusive workplace. We believe that everyone should be able to bring their whole selves to work, and we do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.