Senior Analyst, RAG/LLM Specialist

Job description

Job 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:** 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.