Software Engineer - LLM Workflows - Apps

This role is based in Hamburg, Germany.

Responsibilities:

• Design and implement LLM integration for applications and tools, deploying language models across diverse environments.
• Develop prompt engineering strategies and RAG systems to enable context-aware AI capabilities.
• Build evaluation frameworks and data collection pipelines to measure and improve LLM performance.
• Work cross-functionally with ML researchers, app engineers, and framework teams across Apple to prototype and validate AI-driven features.
• Implement fine-tuning workflows to adapt foundation models for specific domains and tasks.
• Optimize LLM inference performance for deployment on macOS and iOS devices.
• Contribute to the full feature development lifecycle from concept through launch.

Minimum Qualifications:

• Experience fine-tuning Large Language Models for specific domains or tasks.
• Experience developing software applications using Python, Swift, or C++.
• Experience with REST APIs, JSON, and working with LLM services.
• Experience building data collection and evaluation pipelines for machine learning systems.

Preferred Qualifications:

• BS/MS in Computer Science, Machine Learning, or related technical field, or 3 years of equivalent work experience.
• Experience with prompt engineering and optimization techniques for LLMs.
• Experience implementing retrieval-augmented generation (RAG) systems.
• Experience with local model deployment and on-device LLM inference.