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# Data Engineer (Agentic AI, LLM Training), G&A Solutions Engineering (GSE)

- **Company:** Apple Inc.
- **Location:** Austin, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Systems, Machine Learning, Recommender Systems, Data Streaming, LangChain, Retrieval-Augmented Generation, Transfer Learning, Large Language Models, Multi-Agent Systems, Llamaindex, Agentic-AI, Information Technology, AutoGen, Machine Learning Operations, Model Context Protocol, Data Pipelines, Human in the Loop, Unsupervised Learning
- **Published:** October 16, 2026
- **Apply:** https://www.juju.com/job/1_apple2-200653416

## About the Role

You will play a critical role in building GenAI-powered solutions that improve user productivity and operational efficiency. **Minimum Qualifications** + 2+ years of experience building machine learning solutions using supervised/unsupervised learning, classification, recommendation systems, and clustering algorithms + In-depth knowledge of transformer architecture, LLMs, and Agentic AI concepts + Hands-on experience fine-tuning Large Language Models (LLMs) using PEFT/LoRA for domain-specific tasks + Proven experience building and extending RAG, MCP (Model Context Protocol), or multi-agent frameworks (e.g., LangChain, LlamaIndex, AutoGen) + Bachelor's degree in Computer Science, AI, Machine Learning, or relevant work experience **Preferred Qualifications** + 3+ years of experience building production-grade AI/ML solutions in the FinTech domain + Strong written and verbal communication skills with the ability to articulate complex technical concepts + Demonstrated ability to
modernize legacy data systems and adapt to new AI architectures + Experience with "Human-in-the-loop" data workflows for financial operations + Demonstrated ability to quickly learn and adapt to new technologies and tools Apple is an equal opportunity employer that is committed to inclusion and diversity.
We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

## Description

Accurately processing such high volume transactions is our core strength. **Description** The iRecon Payments team is seeking a highly motivated Data Engineer with a strong background in Data Science to drive our Agentic AI initiatives.
In this role, you will build robust data pipelines, extract features, and curate high-quality datasets to train custom LLMs.
You will navigate complex financial ecosystems to modernize data flows, ensuring accurate reconciliation, invoicing, and payments.