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: Robust 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.
📌 Senior Analyst, RAG/LLM Specialist (Gurugram)
🏢 EXL
📍 Gurugram