Senior Analyst & RAG/LLM Specialist

Job Role Application Development-Applications Development EngineeringExperience (In Years) 3-6Job DescriptionRole Overview:Hands-on developer responsible for implementing prompt workflows, data chunking, and maintaining the accuracy of AI outputs. ResponsibilitiesKey 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.QualificationsRequired Skills & Qualifications Tech Stack:Strong Python programming, familiarity with APIs (OpenAI, Anthropic), basic LangChain/LlamaIndex usage.Qualifications:Bachelors in CS or related field; 34 years software or data engineering experience with demonstrated exposure to LLM APIs. Job Role Application Development-Applications Development EngineeringExperience (In Years) 3-6Job DescriptionRole Overview:Hands-on developer responsible for implementing prompt workflows, data chunking, and maintaining the accuracy of AI outputs. ResponsibilitiesKey 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.QualificationsRequired Skills & Qualifications Tech Stack:Strong Python programming, familiarity with APIs (OpenAI, Anthropic), basic LangChain/LlamaIndex usage.Qualifications:Bachelors in CS or related field; 34 years software or data engineering experience with demonstrated exposure to LLM APIs.