Generative AI & LLM Systems Engineer (Hybrid)

Apple Inc.; Cupertino (CA); Hybrid; USD 180,000 - 230,000; Full time

Job summary

Apple Inc. is seeking a Senior AI/ML engineer to contribute hands-on to a Gen AI Solutions team. You will develop and fine-tune generative AI features, and design grounding strategies for data-relevant retrieval to support a multi-modal, multi-agent platform.

You will work with engineers, data scientists, and researchers to push state-of-the-art models, optimize latency and cost, and help roll out AI features across markets, including Greater China with Chinese language support.

Qualifications

• 5+ years hands-on experience in ML, backend engineering, data engineering.

Responsibilities

• Contribute to model development and fine-tuning workflows for generative AI features.
• Design and evaluate retrieval strategies for grounding large models in data.
• Prototype and benchmark multi-round agentic solutions for knowledge-intensive tasks.
• Partner with data and platform engineers for scalable deployment and monitoring.
• Stay current with advancements in large language modeling, vector search, RAG, and LLM Agents.
• Participate in architecture discussions with engineers and partner teams.
• Collaborate with product and business stakeholders to incorporate customer experience requirements into AI solutions.
• Support localization and rollout of AI features across multiple markets.

Skills

ML

Backend engineering

Data engineering

LLMs

RAG

Vector retrieval

Rust

Python

PyTorch

Tokenization

Education

Bachelor's or Master's in CS/ML

Equivalent practical experience

Tools

PyTorch

TensorFlow

JAX

Rust

Python

Vector search

Job description

Apple Inc. is seeking a Senior AI/ML engineer to contribute hands-on to a Gen AI Solutions team. You will develop and fine-tune generative AI features, and design grounding strategies for data-relevant retrieval to support a multi-modal, multi-agent platform.

You will work with engineers, data scientists, and researchers to push state-of-the-art models, optimize latency and cost, and help roll out AI features across markets, including Greater China with Chinese language support.