Gen AI And Prompt Engineering Developers

Role Description

Job Title GenAI Engineer

Role Overview

We are seeking a GenAI Engineer who can design develop and deploy enterprisegrade Generative AI solutions including RetrievalAugmented Generation RAG pipelines and LLM based applications on Azure This role combines handson development with best practices for LLMOps to ensure scalability reliability and production readiness The ideal candidate will have strong technical expertise in Python Azure AI services and modern GenAI frameworks along with the ability to collaborate across teams to deliver impactful solutions

Experience Requirements

7 years of overall experience in core IT and software development

3 years of handson experience with Azure Cloud with AI technologies

2 years of experience in Generative AI RAG LLMs Azure OpenAI LangChainLangGraph and related technologies in building AI Agents

Key Responsibilities

Design develop and deploy GenAI solutions using Microsoft and Azure technologies

Build RAG pipelines and agentic workflows using LangChain and LangGraph

Develop scalable APIs and services to integrate LLMs into enterprise applications

Implement prompt engineering model evaluation and optimization techniques

Collaborate with crossfunctional teams to translate business needs into AI solutions

Ensure production reliability through performance tuning and observability

Document technical designs workflows and best practices

MustHave Skills

Strong proficiency in Python and GenAI frameworks

Expertise in Azure services Azure OpenAI Azure AI Search Azure Functions APIM Cosmos DB and Azure Storage

Handson experience with RAG pipelines and LLM integration

Knowledge of prompt engineering and model evaluation techniques

NicetoHave Skills

Working knowledge of React and JavaScript for AIpowered interfaces

Exposure to structured output validation and finetuning

Familiarity with CICD pipelines and LLMOps practices

Preferred Certifications

Microsoft Certified Azure AI Engineer AI102

Shift timings 130 pm to 1030 pm