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

Apple· G&A Solutions Engineering (GSE)
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Austin, TXunknownPosted 7mo ago

About the role

Data Engineer with a strong background in Data Science to drive Agentic AI initiatives. Build robust data pipelines, curate datasets for custom LLM training, and enable GenAI-powered solutions for improved productivity and operational efficiency within Apple's iRecon Payments team.

Responsibilities

  • Design and build scalable data pipelines to enable Agentic AI solutions and custom LLM training
  • Perform advanced feature engineering and dataset curation to optimize model performance
  • Build upstream/downstream integrations with MCP (Model Context Protocol), Knowledge Graphs, and Vector Databases to support context engineering and retrieval (RAG)
  • Work with large-scale financial transaction data to ensure precision in reconciliation, disbursements, and receipts
  • Partner with cross-functional teams to translate business requirements into technical AI solutions

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
  • 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

Skills

Required:Data pipeline designFeature engineeringMCP (Model Context Protocol)Knowledge Graphs and Vector DatabasesRAG (Retrieval-Augmented Generation)LLM fine-tuning (PEFT/LoRA)Transformer/LLM conceptsFinTech domain experience

Benefits

  • Apple benefits (implicit)
  • EEO and accessibility commitment (informational)
Last updated Jul 24, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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