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

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. 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 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

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