Senior AI/ML Engineer

• Build AI into the product. Design, build and deploy AI across our core product, from RAG and document understanding to agentic workflows and predictive models.
• Own the full lifecycle. Take solutions from design and prototype through integration, deployment and continuous improvement.
• Use our data. Work with our Data Engineers to turn proprietary TIC data into reusable data products.
• Build for production. Create MLOps pipelines and make sure our AI is scalable, secure, explainable and cost-effective.
• Prove it works. Back every claim with evaluation datasets, metrics and regression tests.
• Raise the bar. Work with Product, Design, Engineering and customers, and support fellow AI engineers through pairing and design and code reviews., * Fair compensation: in Austria due to legal requirements from € 75,000 gross per year (full-time), with overpayment based on qualifications and experience; for other locations, in line with local market conditions
• Start: ASAP

• 4+ years building software professionally, including at least 2 years shipping ML or LLM systems to production that real users rely on
• Excellent Python and software engineering practice: testing, code review, version control and CI/CD
• Strong ML fundamentals, with hands-on experience training, evaluating and deploying classical models (e.g. classification, forecasting, anomaly detection)
• RAG built for a real business need, explained end to end from chunking to retrieval and answer quality, plus vector databases, embeddings and semantic search
• LLMs, prompt engineering and agentic workflows with LangChain, LangGraph or similar, and the rigor to evaluate them and explain the results to business stakeholders
• MLOps discipline (MLflow, Docker, CI/CD), AI monitoring and tracing (e.g. Langfuse, OpenTelemetry), RESTful APIs, solid SQL and data pipelines
• A degree in Computer Science, ML, Data Science or a related field, or equivalent practical experience
• Fluent English

You don’t need to check every box. We care more about what you’ve built than about which frameworks you’ve used.

How you work

• You start with the problem, and you’ll tell us when something simpler would do the job.
• You see AI as a craft, and you’re curious and committed to learning.
• You connect business value to the cost of running ML workloads.
• You explain technical trade-offs clearly to non-technical stakeholders.

Nice to have: Azure (Azure OpenAI, AI Search), Databricks or Microsoft Fabric · knowledge graphs, ontologies or rule-based reasoning · recommendation, prediction or decision-support systems in B2B SaaS · fine-tuning · regulated industries · GDPR and EU AI Act, including guardrails and human-in-the-loop design · German

Intact, the world’s leading software solutions provider for the Testing, Inspection and Certification (TIC) industry, is looking for an Applied AI/ML Engineer to help build the intelligence layer for the future of global assurance. For more than 25 years, our software has helped certification bodies, accreditation bodies and scheme owners digitize complex assurance processes. But we believe the next chapter will look fundamentally different. Our ambition is not to add AI features to an existing product. We are building the platform that will connect operational workflows, ecosystem collaboration, proprietary data and artificial intelligence to help customers make better decisions. As an Senior AI/ML Engineer, you’ll work directly inside our product squads, alongside Product Managers, Product Designers and Software Engineers. Your job won’t be to experiment with AI in isolation. You’ll identify where intelligence can fundamentally improve a workflow, prototype solutions quickly, and turn the ones that work into reliable production capabilities used by customers around the world.

This is one of the largest transformations in our company’s history. You’ll join us early enough to shape not only what we build, but how we build AI-powered products. Sounds exciting? We’d love to hear from you., Why Intact

• Build AI into the foundation of a new product platform rather than bolt it onto an established one
• Work in empowered product squads where AI engineers influence both the problem and the solution
• Unique proprietary data from one of the world’s most important trust industries
• International environment with purpose: we help safeguard quality, safety and sustainability worldwide
• 100% remote option, or our office in Lebring (food vouchers, free parking, partner restaurants, easy access to public transport)
• Supportive team, open dialogue across all levels and regular team events
• Continuous learning and personal development. We grow when you grow.