LLM Engineer

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Company Overview

Ultralytics is at the forefront of innovation in Artificial Intelligence, particularly known for its development of YOLO models. The company prides itself on pushing boundaries in AI technology and is on a mission to help shape the future of Vision AI. They are looking for passionate individuals who are not just obsessed with AI but also eager to make a global impact by driving innovative projects.

Job Title and Position

The position being offered is for an LLM Engineer on a full-time basis. This role is primarily focused on the development and integration of Large Language Model (LLM) capabilities within Ultralytics' projects. The successful candidate will work in a high-energy environment that promises a dynamic and rewarding experience, directly contributing to cutting-edge projects.

Location

The LLM Engineer position is based onsite at Ultralytics' newly opened office in London, UK. Candidates are required to have legal authorization to work in the UK, as the company does not provide visa sponsorship.

Key Responsibilities

As an LLM Engineer at Ultralytics, you will be involved in various innovative tasks that include:

• Developing and scaling reliable LLM-powered applications using diverse APIs, including OpenAI, Anthropic, and Gemini.
• Implementing and managing multi-API workflows using tools like LiteLLM to ensure resilience and adaptability.
• Building sophisticated Retrieval-Augmented Generation (RAG) systems using advanced techniques such as embeddings, rerankers, and query enrichment.
• Designing and maintaining efficient data pipelines and vector storage solutions using MongoDB Atlas Vector Search.
• Fine-tuning LLMs on custom datasets to enhance specific performance metrics related to documentation and user support.
• Working closely with the YOLO development team to explore and develop innovative multi-modal solutions.
• Automating deployment and testing processes using CI/CD pipelines and tools like GitHub Actions.

Required Skills and Experience

Candidates looking to apply for the LLM Engineer role should have a significant background in software engineering, particularly in the fields of AI and Machine Learning. The essential skills and qualifications include:

• A minimum of 5 years of experienced in software engineering, focusing on AI and ML.
• Expert-level proficiency in Python and hands-on experience with deep learning frameworks like PyTorch.
• Proven capability in developing and deploying applications utilizing LLM APIs, including OpenAI, Anthropic, Gemini, and DeepSeek.
• Experience with the entire RAG pipeline, especially in the use of vector embeddings and databases such as MongoDB.
• Proficiency in LLM fine-tuning, prompt engineering, and optimization practices.
• Familiarity with MLOps practices, especially regarding CI/CD processes using GitHub Actions.
• A strong interest in computer vision is highly beneficial, with an understanding of object detection models like YOLO.
• Excellent problem-solving skills suited for a fast-paced and high-intensity environment.

Cultural Fit

Ultralytics operates in a high-performance environment where commitment and intense dedication are key. The company seeks self-motivated individuals who are driven and prepared for a productive, fast-paced atmosphere. The workforce is committed to excellent results and is urged to take absolute ownership of their contributions. If comfort in work-life balance is prioritized over relentless progress, this company may not be the right fit.

Compensation and Benefits

Ultralytics offers a competitive salary that is highly dependent on experience levels. Along with the attractive compensation package, the company provides other additional benefits including:

• Startup Equity: Employees can participate directly in their company's growth.
• Hybrid Working Model: The company allows a flexible work environment where employees can work 3 days onsite and 2 days remotely.
• Generous Time Off: Employees benefit from 24 vacation days, their birthday off, and local public holidays.
• Flexible Hours: Work hours can be adjusted to enhance productivity.
• Tech Gear: Employees will have access to state-of-the-art equipment, including a brand-new Apple MacBook and Apple Display.
• An inclusive and supportive team environment that fosters collaboration and engagement in cutting-edge AI projects and leading open-source software.

Conclusion

For driven individuals who want to redefine the capabilities of machine learning and play a significant role in the evolution of AI, this full-time LLM Engineer position at Ultralytics offers an exceptional opportunity to make a profound impact in a dynamic field. Candidates who meet the experience requirements and possess the requisite skills are encouraged to apply.

This job offer was originally published on jooble.com