DevOps / Platform Engineer WebSystems (m/w/d)
FALKEN Group
FALKEN Group
PUB - Public Value Technologie s GmbH

Deutsche Telekom AG
Google Germany GmbH

Hoffmann SE
Apple Technology Engineering B.V. & Co. KG
Randstad Digital

FERCHAU GmbH Niederlassung München Mobility

univativ GmbH
Google Germany GmbH
Google Germany GmbH
BMW AG
TechMinds GmbH

Universitätsklinikum der Technischen Universität München AöR
PUB - Public Value Technologie s GmbH

Passion for People GmbH

NTT DATA Deutschland SE

Hoffmann SE
Google Germany GmbH
FALKEN Group

FERCHAU GmbH Niederlassung München Mobility
Eviden Germany GmbH

CHECK24 Services Personal GmbH
Deloitte GmbH
Akkodis Germany Tech Experts GmbH
Google Germany GmbH

digatus personal GmbH

Hays AG
ALTEN GmbH Coburg

Join Apple's Wireless Technologies and Ecosystems (WTE) organization and be part of a best-in-class engineering team driving innovation in products used by millions worldwide. The Systems Analysis team within WTE is seeking a talented, highly motivated GenAI/LLM engineer to design, develop, and scale advanced AI-driven solutions for wireless systems performance analysis. This role demands deep technical expertise in generative AI, strong software engineering fundamentals, and the ability to translate complex requirements into robust, production-ready systems. Working at the intersection of machine learning, natural language processing, and wireless communications, you will deliver intelligent solutions powered by modern generative AI technologies. You will collaborate with world-class hardware and wireless software engineering teams, directly impacting experiences for apple customers globally. The ideal candidate is a hands-on practitioner with exceptional analytical skills, meticulous attention to detail, and passion for building high-quality, impactful AI solutions. Join Apple to help deliver the next amazing products.
In this role, you will design, develop, and deploy production-grade applications leveraging large language models (LLMs) and generative AI frameworks for wireless systems analysis. You will architect and optimize prompt engineering strategies, retrieval-augmented generation (RAG) pipelines, and vector database solutions for wireless log analysis, while fine-tuning, evaluating, and benchmarking LLMs for telecom-specific use cases by applying domain knowledge of 3GPP standards (4G/5G) to build intelligent diagnostic systems. You will develop cutting-edge ML models utilizing pattern recognition, anomaly detection, deep learning, and reinforcement learning techniques to identify radio link failures, protocol inefficiencies, and performance bottlenecks while enhancing modem-level diagnostics, network optimization, and performance troubleshooting. Building scalable, reliable backend services, APIs, and microservices, you will integrate AI-powered features into production systems with focus on performance, reliability, and cost efficiency. You will establish robust evaluation, monitoring, and debugging frameworks to ensure model accuracy, performance, and reliability in production environments, while continuously improving systems through experimentation, feedback loops, and data-driven iteration. Collaborating cross-functionally with wireless software engineering, platform architecture, standardization, firmware/protocol development, system test, field test, QA, and carrier engineering teams, you will drive enhancement proposals from concept to commercialization, directly impacting iPhone, iPad, and Apple Watch user experiences worldwide.