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Generative AI Engineer

Generative AI Engineer

Tata Consultancy Services
Early Applicant
  • Posted 17 days ago
  • Be among the first 10 applicants

Job Description

Role : Gen AI

Exp : 6 +

Location : Gurgaon, Noida,Bangalore,Hyderabad, BBSR, Pune, Kochi

JD:

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 challenges

More Info

Job Type:
Industry:
Function:
Employment Type:

Key Skills

LangChain

vector databases

PDF parsing

GPT-4V

LlamaIndex

LLaVA

Haystack

multimodal models

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