Job
- Level
- Senior
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 65.000 € gross/year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you develop AI applications to optimize operational and sales processes, build reliable data products, implement machine learning solutions, and evaluate their performance.
Job Technologies
Your role in the team
- We are looking for a Senior AI Engineer to help build and scale the Smart Solutions AI portfolio, driving end-to-end process coverage across the Europe & CIS region.
- You will focus on high-impact use cases in one of two business areas:
- Operations: transforming production, machine, maintenance, and financial data into actionable insights - shifting plants from reactive, post-mortem analysis towards predictive operational and financial management based on machine learning, and making cost-optimization opportunities and best practices visible and comparable across the European production network.
- Sales: shifting the sales process away from administrative work toward customer engagement - unified access to customer, commercial, and market intelligence, AI-supported selling under human oversight, and forward-looking pipeline and opportunity management.
- As a hands-on senior engineer, you will take architectural ownership of key solutions, focusing on building and scaling production-grade systems rather than managing teams or conducting pure research.
- Designing and building reliable data products and pipelines integrating production, machine, commercial, and enterprise data across multiple systems and sites, alongside less structured sources such as operational and service reports, business documents, internal communications, and external market data.
- Developing and productionize ML solutions such as forecasting, anomaly detection, predictive maintenance, segmentation, propensity and recommendation models, and optimization.
- Building AI applications using LLMs, retrieval, document processing, search, and tool-calling, including agentic systems with orchestration, delegation, and supervision of AI agents, where they create clear business value.
- Designing and running systematic evaluation for AI applications and agents - task success, output quality, regression testing, and monitoring of agent behavior in production.
- Building out an open integration architecture connecting enterprise systems, communications, and external data, and integrate AI applications with platforms such as SAP, CRM, MES, planning, and maintenance systems - using controlled, permissioned access that respects existing system boundaries, with human approval gates before any action that writes back to an operational system.
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Our expectations of you
Qualifications
- Expertise in Python and strong SQL skills, combined with solid software engineering practices such as version control, automated testing, CI/CD, and cloud deployment.
- Demonstrable depth in at least one of the following areas:
- Commercial and customer data science: customer and product data, entity resolution, propensity or recommender models, forecasting, or NLP on business documents.
- Industrial and time-series data: sensor and process data, forecasting, anomaly detection, predictive modelling, or data-quality challenges in operational environments.
- Strong judgement in solution design - including choosing the right level of technical complexity for the problem, knowing when a simpler statistical, ML, or workflow-based approach is preferable, and balancing solution quality with security, performance, and efficient model and token usage.
- Ability to understand commercial and operational business problems and communicate effectively with both technical and non-technical stakeholders.
- Languages: English - fluent
Experience
- Several years of experience building data and machine learning systems that run in production, including responsibility for their operation after deployment.
- Experience with modern data platforms and distributed data processing; Databricks experience is an advantage.
- Experience building and operating LLM-based applications with real users - for example retrieval, extraction, search, or tool-calling systems, and ideally agentic systems involving orchestration, delegation, and supervision of AI agents - together with systematic evaluation of their behavior and output quality.
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What we offer
- The annual gross salary for this full-time position starts at €65,000.00, with a competitive package based on qualifications, experience, and market values.
- Flexibility: Possibility of up to 50% remote work and flexible, trust-based working hours.
- Mobility: Annual public transport pass (Wiener Linien).
- Health: Sponsorship of sporting events, platform for mental & physical health (Mavie).
- Plus: Our own café and daily meal allowance for numerous restaurants (Europlaza), corporate benefits platform.
- In addition to these local benefits for Vienna, we also offer you many global benefits.
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Benefits
Work-Life-Integration
Higher Take-Home Pay
Food & Drink
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
RHI Magnesita
Wien
At RHI Magnesita, we are the world's leading provider of refractory products and services. We have the most locations around the globe, as well as the most innovative, reliable products and services. Our offerings cover everything from mining to production to full-service solutions, all with a focus on delivering quality and reliability that is unparalleled in our industry.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production
Senior AI Engineer
- Salary
- from 65.000 € gross/yearEstimated net salary based on the gross salary in the job ad.from 43.766 € net/year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
