Generative AI Engineer

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 capabilities for 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 challenges

Bonus Skills

• Experience with LangGraph , AgenticX , or custom multi-agent systems
• Familiarity with multimodal fusion techniques and prompt engineering
• Knowledge of document layout analysis and long-form reasoning
• Prior work in legal tech , compliance , or enterprise contract analytics