Build production-ready agentic AI systems that combine large language models with tools and data to deliver multi-step workflows.

Design and build agentic workflows that integrate models, tools, and data to execute multi-step tasks in production.
Define system behaviors for planning, tool use, structured outputs, and failure handling.
Create infrastructure to evaluate and improve agentic system performance across quality, reliability, and cost.
Develop monitoring and observability to track and understand agent behavior in production.
Integrate LLMs with internal and external tools to retrieve context, call APIs, and execute actions end-to-end.
Collaborate with cross-functional teams to turn product requirements into scalable agentic systems and improve outcomes through iteration and evaluation.

Bachelor’s degree (minimum requirement).
Proven knowledge of cutting-edge agentic systems.
Demonstrated experience designing and shipping agentic systems in production environments.
Strong proficiency with LLM-assisted coding, including using AI tools to design, implement, and iterate on complex systems.
Strong system design experience, including defining and evolving architecture for complex, multi-component systems.
Experience taking products from concept to launch, including delivering user-facing applications at scale or in real-world environments.

Comprehensive medical and dental coverage.
Retirement benefits.
Discounted products and free services.
Education reimbursement for certain educational expenses, including tuition, for formal education related to advancing your career at Apple.
Discretionary bonuses or commission payments and relocation (eligibility subject to requirements).
Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs.
Discretionary restricted stock unit awards.
Ability to purchase Apple stock at a discount if voluntarily participating in the Employee Stock Purchase Plan.
Note: benefits, compensation, and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Design and implement LLM-based agentic systems beyond traditional machine learning pipelines.
Make system design tradeoffs across latency, cost, accuracy, and controllability.
Evaluate design approaches such as deterministic pipelines versus adaptive, LLM-driven methods within agentic system design.

Machine Learning Engineer - Agentic AI

Job Description