Agentic AI Data Engineer for LLM Training

Apple Inc.

Austin (TX)

Vor Ort

USD 120.000 - 160.000

Vollzeit

14 Tage+

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Zusammenfassung

Apple Inc. is seeking a Data Engineer for the Agentic AI, LLM Training initiative under the G&A Solutions Engineering group in Austin, TX.

You will build robust data pipelines, extract features, and curate datasets to train custom LLMs, handling high-volume financial data to improve reconciliation, invoicing, and payments. You will work with MCP, Knowledge Graphs, and vector databases to support context engineering and retrieval.

Qualifikationen

  • 2+ years building ML solutions with supervised/unsupervised methods.
  • Strong understanding of transformer architectures and LLMs.
  • Hands-on PEFT/LoRA tuning for domain tasks.
  • Experience with RAG, MCP or multi-agent frameworks (LangChain, LlamaIndex, AutoGen).
  • Bachelor’s degree in CS/AI/ML or equivalent work experience.

Aufgaben

  • Design scalable data pipelines to enable Agentic AI and LLM training.
  • Perform feature engineering and dataset curation for model improvement.
  • Integrate MCP, knowledge graphs, and vector DBs for context retrieval.
  • Work with large-scale financial data to ensure accuracy in reconciliation and payments.
  • Collaborate with cross-functional teams to translate business needs into AI solutions.

Kenntnisse

ML experience
Transformer/LLM knowledge
PEFT/LoRA fine-tuning
Agentic AI concepts
Cross-functional collaboration

Ausbildung

Bachelor’s degree in CS/AI/ML

Tools

LangChain
LlamaIndex
AutoGen
MCP (Model Context Protocol)
Vector Databases
Knowledge Graphs

Jobbeschreibung

Apple Inc. is seeking a Data Engineer for the Agentic AI, LLM Training initiative under the G&A Solutions Engineering group in Austin, TX.

You will build robust data pipelines, extract features, and curate datasets to train custom LLMs, handling high-volume financial data to improve reconciliation, invoicing, and payments. You will work with MCP, Knowledge Graphs, and vector databases to support context engineering and retrieval.

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