The analysis shows which technologies, work models, benefits and advertised gross salaries appear often in job ads for AI Engineer.
The previous period is too small for a reliable market comparison.
Advertised gross annual salary ranges from matching IT job ads.
Salary figures refer to gross salary ranges advertised in job ads, not measured employee compensation.
Median advertised gross annual salary for the industries with the highest job ad presence.
Common technologies include Python, Azure, Docker, AWS, SQL, PyTorch, Java and Kubernetes. Main locations are Vienna, Linz and Graz; working models are predominantly Onsite (58.5 %) and Hybrid (39.9 %), Full remote is rare (1.6 %). The market data are based on active and expired job ads published on the platform in the last twelve months; current open jobs are not the basis for salary or demand statements.
Define the role profile with core responsibilities, required experience and prioritized technologies (e.g. Python, PyTorch, Azure).
Prioritize the tech stack: highlight core ML skills (Python, ML frameworks) and list cloud/container technologies (Azure, AWS, Docker, Kubernetes).
Be transparent about posted gross salary ranges: state the median
Clear headline stating role and key technology (e.g. AI Engineer – Python, PyTorch).
Separate must-have requirements from nice-to-have to make qualifications immediately clear to IT professionals.
Declare posted gross salary range and median values.
Matching IT jobs
Candidate job search with the same filters.
Use DEVjobs to publish IT roles with a clear tech stack, advertised gross salary and employer profile.