Senior Analyst, RAG/LLM Specialist

EXL

Hands-on developer responsible for implementing prompt workflows and maintaining AI output accuracy in this Advanced AI & ML role. Seeking skills in Python programming and data engineering with LLM APIs.

Posted 6/14/2026full-timeGurugram • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account EXL Website LinkedIn All Job Openings 10,000+ employees 💰 $2M Venture Round on 2015-01 Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Senior Analyst, RAG/LLM Specialist Job not on LinkedIn 🔥 39 minutes ago 🏢🏡 Gurugram – Hybrid ⏰ Full Time 🟠 Senior 🧐 Analyst Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
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. 🎯 Requirements
Tech Stack: Strong Python programming, familiarity with APIs (OpenAI, Anthropic), basic LangChain/LlamaIndex usage.
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Hard Skills & Tools

PythonRAG systemsPDF parsingtext chunkingembedding generationprompt engineeringversion controlAPIsLangChainLlamaIndex