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Data Engineer (Agentic AI, LLM Training), G&A Solutions Engineering (GSE)
Apple
Austin, USA
Full-time
Mid · 2+ years experience
Onsite
Discovered 1 weeks ago
LangChainLlamaIndexAutoGenPEFTLoRARAG
Free
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LangChainLlamaIndexAutoGen
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LangChainLlamaIndexAutoGenPEFTLoRARAG
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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. 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
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