Ultralytics LLM Engineer

Ultralytics; Colmenar Viejo; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Time Off:24 days paid vacation, your生日

Home setup allowance

MacBook Air as work device

Flexible work environment with hybrid/

Job summary

Ultralytics is seeking an experienced LLM Engineer to advance our LLM capabilities. You will research, fine-tune, deploy state-of-the-art models and build APIs to enable seamless LLM integration across Ultralytics solutions.

You will optimize performance for scalability, collaborate with a dynamic team, implement data-quality checks, and contribute to internal tools and RAG applications. Strong NLP and production deployment skills are essential.

Qualifications

• 5+ years of Python and AI/ML frameworks experience.
• Extensive experience with LLMs and transformer architectures.
• Strong NLP understanding: tokenization, embeddings, fine-tuning.
• Proven experience deploying LLMs in production.
• Expertise with APIs from Anthropic, OpenAI, Voyage, DeepSeek, Gemini.
• Experience building internal tools using LLM capabilities.
• Hands-on in designing Retrieval-Augmented Generation (RAG) apps.
• Proficient in query enrichment and reranking methods.
• Familiarity with SOC 2 and ISO compliance requirements.
• Strong debugging and optimization skills.
• Excellent technical writing and documentation.

Responsibilities

• Research, fine-tune, and deploy state-of-the-art LLMs.
• Develop APIs and tools for seamless LLM integration.
• Optimize model performance for scale and efficiency.
• Collaborate to create AI-driven solutions.
• Implement automated data quality and pipeline reliability checks.
• Support integration of LLMs with Ultralytics solutions.
• Build internal tools leveraging LLM capabilities.
• Design and deploy RAG applications.
• Enhance query enrichment, reranking, and search relevance.
• Ensure SOC 2 and ISO compliance.

Skills

Python

AI/ML frameworks

LLMs

NLP concepts

Deployment in production

APIs (Anthropic OpenAI Voyage DeepSeek

RAG applications

Query enrichment

SOC 2 / ISO compliance

Debugging & optimization

Open-source tools

Docker

Cloud deployment (AWS/GCP/Azure)

Tools

Docker

AWS

GCP

Azure

Job description

Your mission

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 work

At Ultralytics, we thrive on an exciting, fast-paced journey of innovation and excellence. Our high standards inspire a level of commitment that often extends beyond the typical workday, including occasional evenings and weekends. This role is designed for extraordinary individuals who are passionate about making an impact in a dynamic start up environment and ready to contribute their best to drive our ambitious vision forward. If you’re eager to push boundaries and be at the forefront of AI advancement, we’d love to connect with you.

What You'll Do

As 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 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

Your profile

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

Why us?

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 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: https://handbook.ultralytics.com/

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.