Ultralytics LLM Engineer

Who we are

Established in 2010 Ultralytics boasts a global presence with over 100000 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.

As an Ultralytics LLM Engineer you will play a pivotal role in advancing our LLM capabilities.

• 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

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)

• AMacBook Airas your work device

• Flexible work environment with hybrid and remote options

• The candidate must be eligible to work as anindependent contractorin their home country (handbook for more detail)

Ultralytics Handbook

Comprehensive guide to our companys 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: 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.