- 7 - 10 years in software development, with at least 3 years focused on LLM application engineering, RAG, and agent frameworks.
- Advanced mastery of Python, PyTorch/Transformers, LangChain, and LangGraph (state machine design, conditional routing, parallel execution).
- Demonstrated experience building enterprise RAG pipelines over complex unstructured document sources (PDFs, multi-page tables, financial filings).
- Deep understanding of vector representations, embedding models, distance metrics, and retrieval tuning.
- Solid core software development discipline: async Python (asyncio), REST API design, microservices, and Git workflows.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.