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: Solid 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