Software Engineer - AI Solutions (m/f/d)

Rohde & Schwarz USA, Inc.; Dresden; Hybrid; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

Rohde & Schwarz USA, Inc. in Germany seeks a software engineer to turn AI prototypes into production-ready software that runs reliably worldwide.

You will implement Python APIs, SDKs, and integration components so product software leverages AI capabilities, and transform ML/LLM prototypes into scalable solutions meeting latency and resource constraints. You will optimize inference and middleware for real-time use on edge and embedded targets, write maintainable code with tests and documentation,

Qualifikationen

• Experience delivering production-grade Python APIs and SDKs.
• Ability to transform ML/LLM prototypes into scalable software.
• Familiarity with edge/embedded targets and real-time requirements.

Aufgaben

• Implement Python APIs, SDKs, and integration components for AI-enabled products.
• Translate ML/LLM prototypes into production-ready software with performance targets.
• Optimize inference and middleware for real-time use on edge/embedded systems.
• Write maintainable code with unit and integration tests and documentation.
• Collaborate with MLOps, data, and product teams on deployment and monitoring.

Kenntnisse

Python

APIs

ML/LLM integration

Edge computing

Tools

Docker

CI/CD

Jobbeschreibung

Introduction

You turn AI prototypes into production-ready software that works reliably worldwide.

Tasks

• 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.