GEN AI developer

Responsibilities:

1. Build end-to-end RAG pipelines: parse → chunk → embed → retrieve → generate
2. Develop agentic workflows using AgenticX, LangGraph, or custom orchestration
3. Parse contract PDFs using layout-aware and OCR-based parsers (Unstructured, PyMuPDF, PDFPlumber)
4. Enable multimodal processing (text + images/tables) using models like GPT-4V, LLaVA, Donut
5. Integrate open-source models (Mistral, LLaMA3, Ollama) and vector databases (Milvus, FAISS, Qdrant)
6. Build modular APIs (FastAPI) for Q&A, summarization, and classification across documents
7. Optimize retrieval/generation for long-context and multi-document inputs

Role

Qualifications