About this role
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.