AI Platform Engineer - LLMs & RAG (On-Site Denmark)

Cph Ai Hub; Ballerup; Remoto; DKK 700.000 - 950.000; Tempo pieno

Descrizione del lavoro

Klaay is seeking an innovative AI Developer in Denmark to join our growing team in Ballerup. You will integrate AI technologies into our cutting-edge compliance platform, focusing on LLM model integration, RAG, prompt engineering, and fine-tuning to deliver automated insights and streamlined user experiences.

Collaborate with development and compliance teams to design scalable AI solutions, stay current with AI advances, and ensure robust production deployments.

Competenze

• 3+ years of AI/ML development with production deployments.
• Experience with LLMs, RAG, prompt engineering, and fine-tuning.
• Proficiency in Python; PyTorch or TensorFlow is a plus.
• Familiarity with vector databases and search tech.
• Ability to work on-site in Ballerup, Denmark and collaborate with teams.

Mansioni

• Develop, fine-tune, and deploy AI models to enhance the compliance platform.
• Integrate AI solutions including LLMs to automate insights and workflows.
• Collaborate across development and compliance teams for seamless AI integration.
• Design and implement RAG pipelines using data sources.
• Prototype and scale AI-driven features to simplify complex tasks.
• Stay current with AI advances to drive platform innovation.
• Contribute to overall product strategy alignment with AI goals.

Conoscenze

AI/ML development

LLMs

RAG

Python

Cloud deployment

Team collaboration

Problem solving

Strumenti

PyTorch

TensorFlow

Vector databases

Cloud platforms (AWS/GCP/Azure)

Descrizione del lavoro

Klaay is seeking an innovative AI Developer in Denmark to join our growing team in Ballerup. You will integrate AI technologies into our cutting-edge compliance platform, focusing on LLM model integration, RAG, prompt engineering, and fine-tuning to deliver automated insights and streamlined user experiences.

Collaborate with development and compliance teams to design scalable AI solutions, stay current with AI advances, and ensure robust production deployments.