LLM Engineer – Multimodal AI & Vision

Ultralytics

Madrid

Hybrid

EUR 142,000 - 189,000

Full time

14 days+
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Benefits offered by this job

Equity
Hybrid schedule
24 days vacation
Birthday off
Apple gear

Job summary

Ultralytics in London is seeking an experienced LLM Engineer to lead development of AI-powered language model capabilities within our YOLO ecosystem.

You will work on multi-API workflows, RAG systems, and data pipelines, collaborating with the YOLO team to deliver multimodal solutions.

Hybrid work (3 days in-office, 2 remote) with equity, 24 days vacation, and cutting-edge tools. We value fast-paced problem solving and open collaboration.

Qualifications

  • 5+ years of software engineering with AI/ML focus required.
  • Expert-level Python and PyTorch proficiency.
  • Experience building and deploying apps with LLM APIs (OpenAI, Anthropic, Gemini, DeepSeek).
  • Hands-on with full RAG pipelines: embeddings, rerankers, vector indexing (MongoDB).
  • LLM fine-tuning, prompt engineering, performance optimization.
  • MLOps awareness and CI/CD with GitHub Actions.
  • Interest in computer vision and YOLO models.

Responsibilities

  • Develop and scale LLM-powered applications via multiple APIs.
  • Implement multi-API workflows with LiteLLM.
  • Build RAG systems with embeddings, rerankers, and query enrichment.
  • Design data pipelines and vector storage (MongoDB Atlas Vector Search).
  • Fine-tune LLMs on custom datasets for docs and support.
  • Collaborate with YOLO team on multimodal solutions.
  • Automate deployment and testing with CI/CD (GitHub Actions).

Skills

5+ yrs AI experience
Python
PyTorch
LLM APIs

Tools

OpenAI API
Anthropic API
Gemini API
LiteLLM
MongoDB
GitHub Actions

Job description

Ultralytics in London is seeking an experienced LLM Engineer to lead development of AI-powered language model capabilities within our YOLO ecosystem.

You will work on multi-API workflows, RAG systems, and data pipelines, collaborating with the YOLO team to deliver multimodal solutions.

Hybrid work (3 days in-office, 2 remote) with equity, 24 days vacation, and cutting-edge tools. We value fast-paced problem solving and open collaboration.

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