- Location
- Vienna · Kiel · Innsbruck · Hamburg · Graz · Romania Remote Work · Frankfurt · Karlsruhe · Cluj · Cologne · Amstetten · Germany Remote Work · Austria Remote Work · Sankt Poelten · Ried im Innkreis · Munich · Linz
- Workplace
- Remote
- Type
- Full-time
- Department
- Engineering
- Experience
- 5+ years
- Source
- Workday
Description
At Cloudflight, we’re committed to making a digital difference. It’s a difference that impacts businesses and society alike and one that’s fueled by our passion for technology and our dedication to sparking the brightest ideas in ourselves and others.
Role Overview
We are looking for a Platform AI Engineer who will design, build, and scale our AI platform capabilities, enabling seamless model development, deployment, monitoring, and lifecycle management across the organization. You will bring together engineering excellence, MLOps best practices, and a product mindset to turn AI into a reliable, secure, and operational capability.
Responsibilities
Design and operate scalable AI/ML platforms, including training, inference, pipelines, and feature stores
Automate MLOps workflows (deployment, orchestration, CI/CD, monitoring, observability)
Optimize GPU/accelerated environments for high-performance model workloads
Build reusable services, APIs, and tooling to boost engineering and data science productivity
Ensure security, compliance, governance, and Responsible AI across the full model lifecycle
Evaluate and adopt emerging AI technologies to continuously improve the platform
Collaborate with cross-functional teams to deliver reliable, scalable AI products
Improve cost efficiency and performance of training, experimentation, and inference
Perform LLM evaluation to ensure quality and reliability
Design strong prompts, guardrails, and safety filters for secure LLM operation
Develop and maintain RAG capabilities for enterprise knowledge access
Build AI agents augmented with tools and internal system integrations
Requirements
5+ years of experience in Machine Learning Engineering, AI Platform Engineering, or MLOps
Hands-on expertise with AI/ML tooling and orchestration (e.g., Databricks, Azure ML, MLflow, VertexAI, Kubeflow, Airflow)
Strong software engineering background in Python (and ideally Java/Go); experience building reliable services/APIs
Deep knowledge of cloud native architectures (Azure / AWS / GCP), including containerisation (Docker, Kubernetes) and Infrastructure-as-Code
Experience with GPU/accelerated infrastructure, model optimization, and high-performance workloads
Familiarity with monitoring and managing production models (drift detection, lineage, model registry, A/B testing)
Solid understanding of data architecture + integration with data platforms
Strong communication skills, able to partner with cross-functional teams and translate platform needs into technical solutions
Fluency in English (additional regional languages a plus)
Why this role matters
You will build the foundation that enables scalable, secure, and production-ready AI — accelerating innovation and ensuring our teams can move from experimentation to business impact faster than ever.
Austria: The law stipulates that the minimum wage must be specified in job postings. The minimum salary is 55.356 euros/year in the collective agreement. Adequate to your skills, we are willing to pay much more.
We are an equal opportunity employer. We strive to create an inclusive environment where everyone can thrive regardless of their background and circumstances. All applicants receive equal opportunity regardless of age, gender identity or expression, language, disability, ethnicity, national origin, religion, or sexual orientation.
We will go through your application and come back with feedback.
Any questions? Contact us at [email protected]
