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Gen Ai developer

  • Source: Naukri
  • Tata Consultancy Services
  • $6,284.67 to $11,521.9 /yr
  • On-site
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

Role & responsibilities

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

Skills

  • parse
  • LangGraph
  • llama-3
  • Milvus
  • FAISS
  • qdrant
  • FastAPI
  • Python
  • LangChain
  • LlamaIndex
  • haystack
  • Redis
  • PostgreSQL

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