LLM Engineer (AI)

TL;DR

LLM Engineer (AI): Developing and integrating advanced language model capabilities into the YOLO ecosystem with an accent on RAG pipelines, fine-tuning, and multi-API workflows. Focus on building sophisticated AI-powered applications, optimizing vector search performance, and automating deployment processes within a high-intensity R&D environment.

Location: Must be based in London, UK (Hybrid: 3 days onsite, 2 days remote). Must have legal authorization to work in the UK; no visa sponsorship provided.

Company

hirify.global is a high-performance AI company committed to relentless innovation in computer vision and next-generation AI technologies.

What you will do

• Develop and scale robust LLM-powered applications using APIs like OpenAI, Anthropic, and Gemini.
• Build sophisticated RAG systems using embeddings, rerankers, and query enrichment.
• Design and maintain efficient data pipelines and vector storage solutions using MongoDB Atlas.
• Fine-tune LLMs on custom datasets to enhance performance for documentation and user support.
• Collaborate with the development team to build innovative multi-modal solutions integrated with YOLO.
• Automate deployment and testing processes using CI/CD pipelines with GitHub Actions.

Requirements

• 5+ years of experience in software engineering with a strong focus on AI and Machine Learning.
• Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch.
• Proven experience building and deploying applications with LLM APIs.
• Hands-on experience with the full RAG pipeline, including vector embeddings, rerankers, and database indexing.
• Practical knowledge of LLM fine-tuning, prompt engineering, and performance optimization.
• Must have legal authorization to work in the UK.

Nice to have

• Familiarity with MLOps principles and tools like GitHub Actions.
• Strong interest in computer vision and understanding of object detection models like YOLO11.

Culture & Benefits

• Competitive salary and startup equity participation.
• Hybrid flexibility with 3 days in the office and 2 days remote.
• Generous time off including 24 days vacation, birthday off, and local holidays.
• Flexible working hours to suit individual productivity.
• High-performance, supportive team environment focused on world-class results.
• Brand-new Apple MacBook and Apple Display provided.