Description

Job Description

Must Have Technical/Functional Skill

· Strong Python expertise with experience building and deploying production-grade backend systems 

·Hands-on experience developing applications using LLMs, including prompt engineering and orchestration 

· Proven experience with RAG architectures, embeddings, and vector databases 

· Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen) 

· Strong system design skills with experience building and scaling cloud-based applications

Roles & Responsibilities

· Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python

· Design and implement RAG pipelines over enterprise data using embeddings and vector databases

· Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as

LangChain

· Integrate AI systems with APIs, backend services, and cloud platforms

· Establish evaluation, reliability, and performance strategies (accuracy, latency, cost)

Key Skills

Education

Any Graduate