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# Senior AI/ML Engineer

- **Company:** Intact GmbH
- **Location:** Lebring, Austria (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Microsoft Azure, Code Review, Continuous Integration, Graph Database, Python (Programming Language), Machine Learning, Regression Testing, OpenAI, Search Technologies, Software Construction, Software Engineering, SQL Databases, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, Build Management, Microsoft Fabric, Information Technology, Machine Learning Operations, Restful APIs, Software Version Control, Data Pipelines, Docker, Databricks
- **Published:** October 28, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=25bcc3ee059ccd14

## About the Role

* 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

## Description

* 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