Senior AI Engineer - Scale AI & MLOps (Remote)

JYSK; Aarhus; Hybrid; DKK 700,000 - 900,000; Full time

Benefits offered by this job

Dynamic workplace

Flexible work-from-home

Staff discounts

Training & onboarding

Social events

Job summary

JYSK is seeking a Senior AI Engineer to shape scalable AI solutions from model development to deployment and operation, combining software engineering with ML.

You will build end-to-end AI apps and MLOps pipelines, design AI agents and RAG systems, and collaborate with data, AI and platform engineers on complex projects.

The role requires 5+ years in software engineering and AI, Python proficiency, cloud deployment experience (GCP preferred), and a track record in NLP and vision projects.

Qualifications

• 5+ years of industry experience in software engineering and AI solutions.
• Proficient in Python and scalable AI deployments.
• Experience with cloud platforms and production ML models.
• Experience building AI agents and RAG systems.
• Strong independence with stakeholder collaboration.

Responsibilities

• Develop and scale end-to-end AI applications and MLOps pipelines.
• Design, develop and deploy AI agents and RAG systems.
• Research and implement ML models across NLP and vision domains.
• Collaborate with data, AI, and platform engineers on complex projects.
• Manage AI workloads on Google Cloud Platform (GCP).
• Support solution planning and end-user adoption.

Skills

Python programming

Machine learning

Stakeholder collaboration

Education

Bachelor's degree in Computer Science, Software Engineering, Mathematics, Physics, or related field

PhD is advantageous

Tools

Google Cloud Platform (GCP)

MLOps pipelines

RAG pipelines

Job description

JYSK is seeking a Senior AI Engineer to shape scalable AI solutions from model development to deployment and operation, combining software engineering with ML.

You will build end-to-end AI apps and MLOps pipelines, design AI agents and RAG systems, and collaborate with data, AI and platform engineers on complex projects.

The role requires 5+ years in software engineering and AI, Python proficiency, cloud deployment experience (GCP preferred), and a track record in NLP and vision projects.