Job
- Level
- Senior
- Location
- Vienna
- Working Model
- Hybrid, Onsite
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 64.554 € gross/year
Job Summary
In this role, you will develop a robust infrastructure for AI projects, improve tools for MLOps, and design automated workflows to support various teams in AI development.
Job Technologies
Your role in the team
- We are looking for a highly skilled and motivated Senior AI Engineer (m/f/d) to own and advance the shared infrastructure and tool stack supporting AI development, experimentation, analysis and delivery.
- In this role, you will combine expertise in MLOps, software architecture and platform engineering to create reliable, secure and scalable capabilities that accelerate AI teams across the organization.
- You will work closely with AI, Data, Analysis and Software specialists to identify recurring challenges, establish common standards and translate development needs into reusable services, automation and self-service workflows.
- You will also help introduce governed agentic capabilities where they provide clear value.
- Your responsibilities will include:
- Own the architecture, roadmap and continuous improvement of the shared tool stack supporting AI development, experimentation, analysis and delivery across teams.
- Maintain the reliability, usability, security and scalability of the platform, including its core services, integrations and development workflows.
- Design and implement reusable services, APIs, interfaces and automation covering experimentation, model evaluation, data processing, inference and analytical workflows.
- Define and promote common engineering standards for testing, reproducibility, versioning, observability, documentation and operational readiness.
- Identify recurring technical needs and bottlenecks, then translate them into practical platform improvements and self-service capabilities.
- Partner with AI, Data, Analysis and Software teams to support adoption, troubleshoot complex issues and ensure the tool stack addresses real development and modelling needs.
- Use representative machine-learning workflows to validate platform capabilities and contribute hands-on to model integration or development where required.
- Introduce governed agentic capabilities, such as MCP integrations and tool-assisted workflows, where they provide value while maintaining access controls, traceability and human oversight.
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Our expectations of you
Education
- Bachelor's or Master's degree in computer science, engineering or a related field, or equivalent professional experience.
Qualifications
- Expert Python and software engineering skills covering modular architecture, APIs, testing, asynchronous processing, and code review.
- Practical knowledge of the ML lifecycle, reproducibility, data and model versioning, security, privacy, access control, reliability and regulated release processes.
- Solid practical understanding of machine learning and deep learning, including model training, evaluation, inference, GPU-based workloads and frameworks such as PyTorch.
- Vertrautheit mit agentischen Systemen, Tool-Calling oder MCP-Servern und -Clients, einschließlich Bewertung, Nachverfolgbarkeit und Human-in-the-Loop-Kontrollen.
- Strong communication skills in English and the ability to align technical stakeholders across multiple teams.
Experience
- Minimum of five years of ML engineering, platform engineering or MLOps experience with production AI systems.
- Starke Erfahrung mit Docker, CI/CD, Cloud-Plattformen, Orchestrierung, Experiment-Tracking, Model-Registries, Observability und Infrastructure as Code.
- Experience in healthcare, medical devices, or other regulated environments is highly desirable.
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What we offer
- Room for your own ideas and possibility to grow in your role.
- Friendly and supportive team culture that values diversity.
- Hybrid work model (home office + in-person collaboration).
- Flexible working hours for better work-life balance.
- Well-equipped workplace in a charming office in central Vienna.
- Unterstützung im öffentlichen Nahverkehr.
- Regular team-building events.
- Voll ausgestattete Küche mit Snacks und Getränken.
- Zugang zu einer digitalen Plattform für psychisches Wohlbefinden.
- Corporate benefits and discounts.
- Buddy program to help you get started.
- You can expect a gross annual salary starting at EUR 64,554,- (based on full-time employment, 38.5 hours/week, according to the collective agreement) with a willingness to overpay depending on your qualifications and experience.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
RetInSight GmbH
Wien
We are a cutting-edge health technology company that was spun off from the Medical University of Vienna. Our software solutions help ophthalmologists and physicians provide precision medicine to their patients, which in turn saves eyesight. We have global customers and partners, making our technology available to people all over the world.
Description
- Founding Year
- 2020
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication, Pharmaceutical Sector, Chemical Industry, Biotech, Science, Research
Employer reviews
by devworkplaces.com
Total
(1 Review)4.5
Culture
4.2Engineering
4.3Career Growth
4.6Workingconditions
4.8
Senior AI Engineer - AI Platform Engineering
- Salary
- from 64.554 € gross/yearEstimated net salary based on the gross salary in the job ad.from 43.528 € net/year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
