AI Engineer (Fullstack)

Nemetschek

229d

About The Position

We are seeking an experienced AI Engineer (Fullstack) to join our dynamic AI R D team, to support various AI/ML (multi) cloud based projects, daily activities and ongoing AI initiatives within the Nemetschek Group. The team is part of the AI Hub R D and this position will report directly to the AI R D Lead / Principal AI Scientist. This role offers an exciting opportunity to lead the development of cutting-edge research initiatives and drive technological innovation.

Requirements

• Relevant study in Computer Science, Software Engineering, or a related field.
• Strong experience in AI development, machine learning, data science or other relevant research areas.
• 5+ years of experience in software development.
• Proven track record in AI applied research and development of innovative software solutions.
• Strong tech skills (see above) and excellent understanding of software testing methodologies and quality assurance processes.
• Strong communication skills, with the ability to articulate complex technical concepts to diverse audiences.
• Experience working on a global, distributed team.

Responsibilities

• Lead GCP-centric deployments (Vertex AI Pipelines, Cloud Run, GKE, Firebase, Pub/Sub,…), while integrating AWS/Azure components (e.g., SageMaker endpoints, Azure Cognitive Services).
• Develop, together with a team of developers outside of Europe, shared components in Python (bonus: Node.js) to serve the internal facing components of a full application based on AI/ML (e.g. Backend API, Middleware).
• Build monitoring systems for system analysis and performance benchmarking, potentially across hybrid environments (GCP + AWS/Azure).
• Collaborate with internal teams (agile methods, Jira, Confluence, …) and external partners to co-design and develop AI/ML pipelines, ensuring alignment with organizational and client requirements.
• Partner with AI Architects for deploying model-serving infrastructure using the cloud infrastructure, focusing on GCP, considering worldwide high-throughput workloads.
• Together with SRE engineers, implement robust strategies (e.g. Failover, backup for AI artifacts) for running and monitoring (OpenTelemetry, Grafana, Cloud Logging).
• Partner with Cloud providers for best-in-class solutions.
• Partner with DevOps/SRE teams to harden systems for GDPR/SOC2 compliance.
• Coordinate with external AI vendors to integrate third-party models (e.g., LLMs) into enterprise workflows.
• Document system architectures for both technical teams and non-technical stakeholders using Confluence.
• Conduct quarterly on-site workshops (20% travel) with European clients and engineering teams to align priorities.

Benefits

• Diverse position in a motivating work environment.
• Opportunities for sustainable growth and personal development.
• Work in an international team with flat hierarchies and short decision-making processes.
• Various benefits in the areas of sports, nutrition, childcare and much more.
• Wide range of health and preventive care services.
• Flexible working hours and mobile working options.

What This Job Offers

• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree