01 Oct
|
EXL Service
|
India
: 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 (India)
🏢 EXL Service
📍 India