AI Engineer

About the role

As an AI Engineer, you will be responsible for the architecture and infrastructure of AI solutions within our document automation products. You will develop LLM agents, build deployment pipelines, and ensure the scalability and reliability of AI models in production. You will work closely with product and software teams to integrate AI-driven systems into our SaaS portfolio.

Responsibilities

• Develop LLM agents that contribute to products within the Whitevision portfolio.
• Build infrastructure for model deployment, version control, and monitoring to keep AI models running in production.
• Contribute to optimizing internal AI usage for software development.
• Ensure data quality, governance structures, and compliance for secure and reliable data.
• Integrate AI-driven systems within existing APIs, microservices, and cloud environments.
• Optimize performance, scalability, and efficiency of the AI infrastructure using distributed computing or GPU utilization.

Required skills

• SQL
• NoSQL
• Python
• MLOps
• Cloud infrastructure
• Azure
• Docker
• Kubernetes
• GitHub
• Terraform

Nice to have

• TensorFlow
• PyTorch
• MLflow
• Kubeflow
• AWS
• GCP

Qualifications

• Bachelor or master in Artificial Intelligence, Data Science, or Computer Science/Informatica with a specialization in AI or data
• Equivalent practical experience

Benefits

• 25 vacation days
• Option to purchase 5 extra vacation days
• Training and education budget
• Pension scheme
• Commuting allowance
• Bicycle lease plan

About the Company

Whitevision is a fast-growing SaaS company with the mission to eliminate repetitive work through innovative tools for invoice processing and document automation. The organization values respect, decisiveness, commitment, and ambition.