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# Software Engineer - AI Solutions

- **Company:** ROHDE & SCHWARZ GmbH & Co. KG
- **Location:** Dresden, Germany
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Application Release Automation, Data Stores, Middleware, Python (Programming Language), Software Product Management, Smart Devices, Large Language Models, Integration Tests, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations
- **Published:** September 24, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a52f5f88d6b5aab3

## About the Role

* You bring several years of experience in professional Python development as well as solid software engineering practices such as testing, CI/CD, code reviews, and Git.
 * You have already gained hands-on experience integrating ML or LLM components into real production applications.
 * You are ideally familiar with containers and orchestration such as Docker and Kubernetes or OpenShift, and bring experience with hybrid cloud or on-prem integration, authentication and RBAC, as well as data stores; knowledge of inference on edge devices or with runtimes such as ONNX or TF Lite is an advantage.
 * You are convincing through team spirit, solution orientation, and analytical thinking.
 * You stand out through strong problem-solving skills as well as independence and personal responsibility.
 * Very good German skills and very good English skills (written and spoken) round off your profile.

## Description

* You implement Python APIs, SDKs, and integration components so that product software can leverage AI capabilities.
 * You transform ML, LLM, and agent-based prototypes into production-ready software that meets performance, latency, and resource requirements.
 * You optimize inference and middleware for real-time use on edge and embedded target systems.
 * You write maintainable code with unit and integration tests as well as corresponding documentation.
 * You analyze and resolve integration issues between model, middleware, and infrastructure.
 * You collaborate with MLOps, data, and product teams on deployment, monitoring, and release automation.


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