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Software Engineer (Agentic AI), AI & Data Platforms

Apple· Corporate Functions
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Hybrid (Austin, TX)Full-timePosted 3mo ago

About the role

Software engineer on the Developer Experience Platform team to design and implement front-end tools and the AI-powered developer platform, focusing on agentic AI, multi-agent workflows, and reliable scalable backend services integrated with LLMs.

Responsibilities

  • Design and maintain backend services and orchestration systems that power multi-agent AI workflows.
  • Build reliable systems that integrate large language models (LLMs) into developer tools and services.
  • Work on cloud deployments, CI/CD, and MLOps practices to keep AI services reliable and scalable.
  • Collaborate with researchers and engineers to bring new AI capabilities into production.
  • Partner with developers to understand their needs and improve the experience of using AI-powered tools.

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
  • 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

Skills

Required:Backend and distributed systemsAI agents / LLMsProgramming languagesCloud and containerizationCI/CD / MLOps
Last updated Oct 16, 2026. Interested? Apply on the company site.

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