Sr. Azure Generative AI Engineer / Consultant

NexTurn Inc.; Gurgaon; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

NexTurn Inc. is looking for an experienced software engineer to design and develop Generative AI applications using Azure services. This role requires 8+ years of experience in software development, cloud engineering, and AI-based solutions.

The ideal candidate will have strong skills in Azure technologies, including RAG architectures and Azure App Services. Responsibilities include building scalable services, optimizing AI models, and collaborating with cross-functional teams to deliver innovative solutions.

Qualifications

• 8+ years of relevant work experience.
• Hands-on experience with Azure, AI-based solutions, and software development.
• Azure certifications preferred.

Responsibilities

• Design and develop Azure-native Generative AI applications.
• Build RAG solutions using Azure AI Search.
• Integrate AI solutions with enterprise applications.
• Optimize AI models for performance and cost efficiency.
• Collaborate with teams to deliver AI-driven solutions.

Skills

Software development

Cloud engineering

Azure cloud platform

AI-based solutions

Generative AI applications

RAG architectures

REST APIs

Microservices

LLM integration

Git

CI/CD pipelines

Azure certifications

Education

Bachelor’s degree in computer science, engineering, or related field

Tools

Azure App Services

Azure Kubernetes Service

LangChain

Semantic Kernel

Job description

Location

Gurgoan

Requirements

• 8+ years of relevant work experience.
• Hands‑on experience in software development, cloud engineering, or AI‑based solutions.
• Strong hands‑on experience with the Microsoft Azure cloud platform.
• Experience building Generative AI applications using Azure OpenAI Service.
• Experience implementing RAG architectures using Azure AI Search.
• Hands‑on experience with Azure App Services, APIs, and cloud‑native application development.
• Experience working with REST APIs, microservices, and cloud‑based architectures.
• Understanding of prompt engineering, LLM integration, and AI model orchestration.
• Familiarity with Git, CI/CD pipelines, and DevOps practices.
• Experience with LangChain, Semantic Kernel, or similar LLM orchestration frameworks.
• Knowledge of vector databases and embeddings.
• Experience with Azure Functions, Azure Kubernetes Service (AKS), or containerized deployments.
• Familiarity with data pipelines and data engineering workflows.
• Azure certifications, such as Azure AI Engineer Associate or Azure Solutions Architect.

Qualifications

Bachelor’s degree in computer science, engineering, information systems, or related technical field (or equivalent practical experience).

Responsibilities

• Design and develop Azure-native Generative AI applications using Azure AI services.
• Build Retrieval-Augmented Generation (RAG) solutions using Azure AI Search and vector‑based search capabilities.
• Develop scalable backend services and APIs using Azure App Services or related Azure compute services.
• Integrate Generative AI solutions with enterprise applications and data platforms.
• Optimize AI models and prompts to improve accuracy, performance, and cost efficiency.
• Collaborate with data scientists, architects, and developers to deliver end‑to‑end AI‑driven solutions.
• Ensure solutions follow security, governance, and compliance standards within the Azure environment.
• Monitor and maintain AI services for reliability, scalability, and performance.
• Stay up to date with the latest Generative AI and Azure AI platform advancements.