Software Engineer (Agentic AI), AI & Data Platforms

Socket.dev; Austin (TX); On-site; USD 140,000 - 200,000; Full time

Job summary

Apple is seeking a software engineer to help design and implement developer front-end tools for our next-gen developer experience platform. You will accelerate app development inside Apple by contributing to an AI-powered platform balancing reliability, scale, and innovation.

You will work across ML research, platform engineering, and product teams to deliver agentic AI capabilities, frameworks, and APIs in production environments.

Qualifications

• Bachelor's degree or equivalent with 4+ years in software engineering or ML.
• Experience building AI agents with LLMs including RAG (Retrieval-Augmented Generation).
• Strong programming in Python/Java/Go/Node.js/TypeScript; distributed systems and APIs in production.

Responsibilities

• Contribute to building the backbone of an agentic AI platform for Apple.
• Balance reliability and scale with experimentation and innovation.
• Collaborate across ML research, platform engineering, and product teams to ship features.

Skills

AI agents

Programming languages

Distributed systems

LLMs

Education

Bachelor's degree in CS/AI/ML

Tools

LangChain

LangGraph

Pydantic AI

CrewAI

Job description

Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don’t just create products - they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Developer experience platform team is looking for an extraordinary Software engineer to join our team. You will help design, implement various developer front end tools to build our next gen developer experience platform and accelerate app development inside Apple.

DESCRIPTION

The Developer Experience Platform team builds the frameworks, services and AI tools that help Apple’s enterprise developers move faster through the software development lifecycle. We’re creating a new AI-powered developer platform that brings together ai agents and autonomous workflows to support how apps are built across Apple. This is a hands-on engineering role with broad impact. You’ll contribute to building the backbone of our agentic AI platform, balancing reliability and scale with experimentation and innovation. The right candidate has strong backend and distributed systems expertise, practical experience with AI agents, and a focus on building reliable systems.

MINIMUM QUALIFICATIONS

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience 4+ years of industry experience in software engineering or machine learning
• Hands-on experience building AI agents with Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG), using frameworks such as LangChain, LangGraph, Pydantic AI, or CrewAI
• Strong programming skills in multiple languages (e.g., Python, Java, Go, Node.js, or TypeScript), with solid experience designing and developing distributed systems, backend services, and APIs in production environments

PREFERRED QUALIFICATIONS

• Familiarity with deploying and operating services in cloud environments (AWS, GCP, or Azure), including containerization (Docker) and orchestration Kubernetes
• Experience with CI/CD pipelines and MLOps practices for deploying, scaling, and monitoring LLM-powered services Background in building REST or GraphQL APIs, microservices, and event-driven systems
• Knowledge of vector databases, memory systems, and human-in-the-loop workflows Strong collaboration skills with the ability to work effectively across ML research, platform engineering, and product teams