Senior GenAI Engineer, Apple Cloud AI

What you'll do

• Design platform capabilities for agent orchestration, RAG, model configuration, prompt tooling, and fine-tuning and reinforcement learning pipelines.
• Improve agent and LLM efficiency through caching, prompt tuning, and latency optimization; define technical strategy and roadmap.
• Partner with cross-functional teams to drive platform adoption, build reusable agents, and mentor engineers.

What they ask for

• 4+ years of machine learning and software development experience; 1+ years as a technical lead.
• Hands-on experience building GenAI platforms and agents, including orchestration, prompt engineering, RAG, model selection, multi-step reasoning, and tool use.
• Experience building agent harnesses with memory and context, MCP and tools, and secure runtime environments; understanding of AI agent security and LLM inference optimization.
• Strong programming skills in Python, Java, or similar languages; B.S., M.S. or PhD Degree in Computer Science/Engineering, or equivalent work experience.

Nice to have

• Expertise in Google Cloud and AWS; hands-on Kubernetes experience.
• Experience customizing foundation models for task-specific performance and domain alignment.

Pay

$150,400 and $277,600 USD base salary

Tools

Python, Java, Google Cloud, AWS, Kubernetes, MCP

AI focus

Develop GenAI and agent platforms, including orchestration, RAG, agent security, model customization, fine-tuning and reinforcement learning workflows, and inference optimization.