Generative AI + python

Experience: 6+ years backend/ML development, 1+ year with GenAI/RAG systemsAbout the Role We're hiring a Generative AI Developer to build an advanced RAG pipeline with agentic and multimodal capabilitiesfor processing complex contract documents (PDFs with text, tables, and images). You'll work with open-source LLMs, build agent workflows with AgenticX/LangGraph, and design systems that combine vision and language models for deeper contract understanding.Key

Responsibilities

Build end-to-end RAG pipelines: parse chunk embed retrieve generate

Develop agentic workflows using AgenticX, LangGraph, or custom orchestration

Parse contract PDFs using layout-aware and OCR-based parsers (Unstructured, PyMuPDF, PDFPlumber)

Enable multimodal processing (text + images/tables) using models like GPT-4V, LLaVA, Donut

Integrate open-source models (Mistral, LLaMA3, Ollama) and vector databases (Milvus, FAISS, Qdrant)

Build modular APIs (FastAPI) for Q&A, summarization, and classification across documents

Optimize retrieval/generation for long-context and multi-document inputs

Required Skills

6+ years in backend/ML; 1+ year in GenAI, RAG, or agentic architectures

Strong Python skills; experience with LangChain, LlamaIndex, Haystack

Deep experience in PDF parsing (text, tables, images) and chunking strategies

Familiarity with multimodal models (e.g., GPT-4V, LLaVA, or equivalents)

Hands-on with vector DBs, FastAPI, Redis/Postgres

Understanding of legal/contract structure and NLP challeng