Senior AI Engineer - AI Platform Engineering (m/f/d)

RetInSight GmbH; Wien; Hybrid; EUR 58.000 - 71.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Central Vienna office

Public transport support

Team events

Well-equipped kitchen

Zusammenfassung

RetInSight GmbH in Vienna is seeking a Senior AI Engineer to own and advance the shared infrastructure for AI development, experimentation and delivery. You will shape the platform architecture, ensure security, scalability and reliability, and work across AI, Data, Analysis and Software teams.

The role demands deep ML engineering expertise, platform-minded thinking, and the ability to align technical stakeholders while contributing hands-on to model integration when needed.

Qualifikationen

• Bachelor's or Master's degree in computer science, engineering or related field or equivalent experience.
• 5+ years of ML engineering, platform engineering or MLOps with production AI systems.
• Expert Python and software engineering skills (modular architecture, APIs, testing, async processing).
• Strong experience with Docker, CI/CD, cloud platforms, orchestration, experiment tracking, model registries, observability and IaC.

Aufgaben

• Own architecture, roadmap and continuous improvement of shared tool stack for AI development, experimentation and delivery.
• Maintain reliability, usability, security and scalability of the platform and its core services.
• Design reusable services, APIs, interfaces and automation for experimentation, evaluation, data processing and inference.

Kenntnisse

Python

MLOps

Docker

CI/CD

APIs

Observability

Cloud platforms

PyTorch

GPU workloads

Ausbildung

Bachelor's or Master's in CS/Engineering

Tools

MCP servers

Experiment tracking

Model registries

Jobbeschreibung

Full-time

64,554 € per year

Your responsibilities

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. The ideal candidate combines strong engineering expertise with a practical understanding of machine learning, a platform-oriented mindset and the ability to drive technical alignment across teams.

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.

Your profile

• Bachelor's or Master's degree in computer science, engineering or a related field, or equivalent professional experience
• Minimum of five years of ML engineering, platform engineering or MLOps experience with production AI systems
• Expert Python and software-engineering skills covering modular architecture, APIs, testing, asynchronous processing and code review
• Strong experience with Docker, CI/CD, cloud platforms, orchestration, experiment tracking, model registries, observability and infrastructure as code
• 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
• Familiarity with agentic systems, tool calling or MCP servers and clients, including evaluation, traceability and human-in-the-loop controls
• Healthcare, medical-device or another regulated-environment experience is highly desirable
• Strong communication skills in English and the ability to align technical stakeholders across multiple teams
• 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)
• Well-equipped workplace in a charming office in central Vienna
• Public transport support
• Regular team-building events
• Fully stocked kitchen with snacks and drinks
• Access to digital mental well-being platform
• Corporate Benefits and discounts
• Buddy program to help you get started

You can expect a gross yearly salary starting at EUR 64.554,-- (on full-time basis, 38.5 hours/week based on the collective agreement) with the willingness to overpay according to your qualification and experience.

About us

We are a spin-off of the Medical University of Vienna with the aim to bring the breakthroughs of science to the society and each individual, anywhere and anytime. Our expertise builds on more than 15 years of tele-ophthalmology and AI-based retinal image analysis. As pioneers in the field, we are developing cloud-based transformational AI solutions to improve patient outcomes, empower physicians to increase clinical efficiency and reduce healthcare costs addressing the leading eye diseases of our times. With your contribution we will protect millions of patients from irreversible vision loss and blindness.