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# AI Engineer

- **Company:** Plansee
- **Location:** Breitenwang, Austria (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Cloud Computing, Computer Programming, Continuous Integration, Python (Programming Language), Machine Learning, Systems Integration, Web Services, Enterprise Software Applications, Cloud Platform System, Containerization, AI Platforms, Production Code, Machine Learning Operations, Restful APIs, Docker
- **Published:** October 9, 2026
- **Apply:** https://devjobs.at/job/64a0cd44dcdeed458ea2a0bf6ae21940

## About the Role

* Strong programming skills in Python, with the ability to design clean, maintainable, and production-ready code.
 * Proficiency in building REST APIs or web services and integrating AI capabilities into enterprise applications and workflows.
 * Familiarity with MLOps, CI/CD practices, cloud platforms (preferred Microsoft Azure), and containerization tools such as Docker.
 * Strong communication and collaboration skills, in both german and english language, with the willingness to promote AI adoption and support knowledge sharing across teams., * Experience deploying machine learning models in production environments, including model integration, reliability, and monitoring.

## Description

* In this role you will reinforce our Data Science & AI team and take ownership of designing, deploying, and maintaining AI solutions in production.
 * You will work closely with data scientists, IT, and business stakeholders to turn models into reliable, production-ready services.
 * Your tasks: Design, implement, deploy, and maintain end-to-end AI solutions, from model integration to production-ready services.
 * Build and expose AI capabilities through REST APIs or web services, and integrate them into enterprise systems and business workflows.
 * Ensure the reliability, scalability, maintainability, and monitoring of AI services in production environments.
 * Set up and manage MLOps pipelines, cloud environments, infrastructure, networking, and security aspects required for AI solution deployment.
 * Collaborate closely with IT, data teams, internal customers, and business stakeholders to understand needs, ensure successful adoption, and support technical documentation and knowledge sharing.