Senior Analyst, RAG/LLM Specialist

Ex

Gurugram District

On-site

INR 900,000 - 1,500,000

Full time

11 days ago
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Job summary

Ex in Gurugram is seeking a hands-on developer for Application Development-Applications Development Engineering with 3-6 years of experience. You will implement prompt workflows, data chunking, and ensure AI outputs are accurate, while building and testing RAG systems using LangChain or Autogen.

The role requires strong Python programming, familiarity with OpenAI/Anthropic APIs, and knowledge of LangChain/LlamaIndex.

Qualifications

  • Bachelor's in CS or related field.
  • 3-4 years software or data engineering experience with exposure to LLM APIs.

Responsibilities

  • Build and test basic to intermediate RAG systems using LangChain or Autogen.
  • Write Python scripts for PDF/document parsing, text chunking, and embedding generation.
  • Test and version-control system prompts to achieve reliable model responses.

Skills

Python
LLM API usage
API integration

Education

Bachelor's in CS or related field

Tools

LangChain
LlamaIndex
OpenAI API
Anthropic API

Job description

  • Job Role Application Development-Applications Development Engineering
  • Experience (In Years) 3-6
Job Description

Role Overview:Hands-on developer responsible for implementing prompt workflows, data

chunking, and maintaining the accuracy of AI outputs.

Responsibilities

Key Responsibilities

  • Implementation:Build and test basic to intermediate RAG systems using frameworks like
  • LangChain or Autogen.
  • Data Processing:Write Python scripts for PDF/document parsing, text chunking, and embedding generation.
  • Prompt Engineering:Systematically test and version-control system prompts to achieve reliable model responses.
Qualifications

Required Skills & Qualifications

  • Tech Stack:Strong Python programming, familiarity with APIs (OpenAI, Anthropic), basic LangChain/LlamaIndex usage.
  • Qualifications:Bachelor's in CS or related field; 3-4 years software or data engineering experience with demonstrated exposure to LLM APIs.
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