LLM Engineer

LLM Engineer focuses on developing and scaling robust llm-powered applications using a variety of apis, including openai , anthropic , and gemini.

What the role involves

• Developing and scaling robust LLM-powered applications using a variety of APIs, including OpenAI , Anthropic , and Gemini.
• Implementing and managing multi-API workflows using tools like LiteLLM to ensure flexibility and resilience.
• Designing and maintaining efficient data pipelines and vector storage solutions using MongoDB Atlas Vector Search.
• Fine-tuning LLMs on custom datasets to enhance performance for specialized tasks related to our documentation and user support.
• Build innovative multi-modal solutions.
• Automating deployment and testing processes using CI/CD pipelines with GitHub Actions.

Skills and requirements

• 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML).
• Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch.
• Proven experience building and deploying applications with LLM APIs such as OpenAI , Anthropic , Gemini , and DeepSeek.
• Hands-on experience with the full RAG pipeline, including vector embeddings , rerankers , and data indexing in databases like MongoDB.

Confirmed role details

• This full-time LLM Engineer position is based Onsite in our brand-new Ultralytics office in London, UK.
• Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship.
• Generous Time Off: 24 days vacation, your birthday off, plus local holidays.
• Tailor your working hours to suit your productivity.

Candidate fit

• technical judgement, safe working habits, careful diagnostics, and practical problem-solving

Additional role context

• At Ultralytics , we relentlessly drive innovation in AI, building the world's leading YOLO models.
• We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment.