Senior Analyst, RAG/LLM Specialist

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

chunking, and maintaining the accuracy of AI outputs.

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.

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.