Senior Software Engineer, Agentic AI, AI & Data Platforms

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Austin, TX
Posted
175 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $210k
$159k most similar roles pay here $258k

This listing doesn't post a salary. Most similar roles pay $173,262–$246,150.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, Agentic AI, AI & Data Platforms

As a Sr Software Engineer (Agentic AI), AI & Data Platforms, you will join the Developer Experience Platform team to design and implement front end tools for a next-generation developer experience platform. You will build the backbone of an agentic AI platform by designing backend services and orchestration systems that power multi-agent workflows. Your daily work involves integrating large language models into developer tools, managing cloud deployments, and implementing CI/CD and MLOps practices to ensure reliability and scale. You will utilize technologies including Python, Java, Go, Node.js, or TypeScript to build REST or GraphQL APIs and microservices. Key technical skills include experience with LLMs, Retrieval-Augmented Generation (RAG), LangChain, LangGraph, Pydantic AI, CrewAI, vector databases, and containerization via Docker and Kubernetes to solve complex problems in the software development lifecycle.

What does a Software Engineer earn in Texas?

Median $186925 from 189 postings across 40 companies.

See salary data

What you'll do

  • Design and maintain backend services and orchestration systems for multi-agent AI workflows.
  • Build reliable systems that integrate large language models into developer tools and services.
  • Implement cloud deployments, CI/CD pipelines, and MLOps practices to scale AI services.
  • Develop agentic AI features using frameworks like LangChain, LangGraph, or CrewAI.
  • Integrate Retrieval-Augmented Generation (RAG) and vector databases into production systems.
  • Build REST or GraphQL APIs and microservices for the developer experience platform.
  • Create front-end tools to accelerate internal app development processes.

What we're looking for

  • 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 LLMs using frameworks like LangChain, LangGraph, Pydantic AI, or CrewAI.
  • Experience implementing Retrieval-Augmented Generation (RAG) techniques.
  • Proficiency in multiple programming languages including Python, Java, Go, Node.js, or TypeScript.
  • Expertise in designing and developing distributed systems, backend services, and APIs in production environments.
  • Familiarity with cloud deployment, containerization (Docker), orchestration (Kubernetes), and MLOps practices.
  • Knowledge of vector databases, memory systems, and human-in-the-loop workflows.

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