Agentic AI Data Engineer for LLM Training

Apple Inc.; Austin (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

ML experience

Transformer/LLM knowledge

PEFT/LoRA fine-tuning

Agentic AI concepts

Cross-functional collaboration

Education

Bachelor’s degree in CS/AI/ML

Tools

LangChain

LlamaIndex

AutoGen

MCP (Model Context Protocol)

Vector Databases

Knowledge Graphs

Job description

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.