Senior Applied AI Engineer - AiDP

Responsibilities

You will be responsible for building and customizing AI data and machine learning platforms to support Apple's internal operations. This involves developing innovative tools and frameworks that facilitate the adoption of generative AI across various platforms.

Requirements

Candidates must have a bachelor's degree in a technical field and at least 8 years of experience in software or platform development. Proficiency in Python and experience architecting AI systems on cloud platforms are required.

Skills

• Python
• Machine Learning
• Generative AI
• LLM
• Langchain
• LangGraph
• CrewAI
• AutoGen
• Prompt Engineering
• Retrieval-augmented generation
• Distributed Systems
• Hadoop
• Kafka
• Spark
• Flink
• Software Architecture

About this role

Do you love understanding every detail of how new technologies work? Join the
team that serves as Apple’s nerve center, our Information Systems and Technology
group. There are countless ways you’ll contribute here, whether you’re
coordinating technology needs for product launches, designing music solutions
for retail locations, or ensuring the strength of in-store Wi-Fi connections.
From Apple Pay to the Apple website to our data centers around the globe, you’ll
help design and manage the massive systems that countless employees and
customers rely on every day. You’ll also build custom tools for employees,
empowering them to solve complex problems on their own. Join our team, and
together we’ll explore all the ways to improve how Apple operates, freeing our
employees to do what they do best: craft magical experiences for our customers
AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team
brings together data, application development, and machine learning — including
generative AI — along with data services and customer success functions, to help
IS&T build solutions more efficiently and streamline the adoption and embedding
of generative AI across Apple.

DESCRIPTION

As a Software Engineer, you will be responsible for building Apple’s AI Data and
ML platforms. You will either work on building custom solutions ground up or
take open source products and customize the same for Apple’s need. We're looking
for an individual who loves to take challenges, tackles problems with
imaginative solutions, works well in collaborative teams, and can produce
high-quality software under tight deadlines and constraints. This role involves
building innovative tools and frameworks that can extend across different
platforms within AiDP.

MINIMUM QUALIFICATIONS

Bachelor’s degree in Computer Science, Technology, Engineering, Mathematics, a
related technical field, or equivalent practical experience. 8+ years of overall
experience in software/platform development Strong programming skills with
proficiency in Python (and ideally in one or more additional languages like
Typescript, Java, Golang etc). Experience architecting AI systems on cloud
platforms.

PREFERRED QUALIFICATIONS

Strong communication skills to conduct discovery with customers and to convey
technical concepts to diverse stakeholders. Knowledge of LLM serving and
inference frameworks. 1+ years of experience shipping production-grade AI-driven
solutions to external or internal customers. Hands-on experience with frameworks
like Langchain/LangGraph, CrewAI, or AutoGen. Experience in applied AI, with a
focus on building systems around pretrained models (e.g., prompt engineering,
fine-tuning, Retrieval-augmented generation (RAG), and agent orchestration).
Ability to implement secure agentic workflows incorporating MCP, tool-calling,
and OAuth-based authentication. Data Structures & Algorithms: Foundation and
application experience. Distributed Systems: Understanding and hands-on
experience managing at least one distributed system (e.g. Hadoop, Kafka, Spark,
Flink etc. ). Problem Solving: Demonstrated ability to independently
troubleshoot and resolve complex technical issues.

About Apple

Computers and Electronics Manufacturing · 10,001+ employees · headquartered in Cupertino, California · founded 1976