> Markdown version of [/jobs/ext/3611456-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3611456-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Plansee - **Location:** Wien, Austria (Remote available) - **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, Machine Learning Operations, Restful APIs - **Published:** October 8, 2026 - **Apply:** https://www.studentjob.at/stellenangebote/8883172-ai-engineer-f-m-d ## About the Role production environments, including model integration, reliability, and monitoringProficiency in building REST APIs or web services and integrating AI capabilities into enterprise applications and workflowsFamiliarity with MLOps, CI/CD practices, cloud platforms (preferred Microsoft Azure), and containerization tools such as DockerStrong communication and collaboration skills, in both german and english language, with the willingness to promote AI adoption and support knowledge sharing across teamsWe offer: A secure job in a modern, internationally active family business that stands out for its innovation and sustainabilityA respectful atmosphere and a relaxed environment - we are on first-name basis with almost everyoneOnboarding is supported by a wide range of training and further education opportunitiesAn attractive remuneration model, flexible working hours, and the option of working remotely part of the time are a matter of course for usWe are already thinking about tomorrow ## Description 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 servicesBuild and expose AI capabilities through REST APIs or web services, and integrate them into enterprise systems and business workflowsEnsure the reliability, scalability, maintainability, and monitoring of AI services in production environmentsSet up and manage MLOps pipelines, cloud environments, infrastructure, networking, and security aspects required for AI solution deploymentCollaborate closely with IT, data teams, internal customers, and business stakeholders to understand needs, ensure successful adoption, and support technical documentation and knowledge sharingYour profile: Strong programming skills in Python, with the ability to design clean, maintainable, and production-ready codeExperience deploying machine learning models in