Job Summary

Role involves designing, developing and deploying AI-powered applications and automation solutions using Python Java andor Nodejs. The candidate will develop and consume RESTful APIs, integrate enterprise systems, and build scalable backend services. They will design and implement microservices-based architectures using modern application development frameworks. They will build and deploy cloud-native applications on Microsoft Azure (preferred) or AWS. Hands-on experience with Docker and container orchestration using Kubernetes (AKS, EKS).

Experience deploying and managing applications using Azure Functions, AWS Lambda, Azure App Services, Azure Virtual Machines (VMs), Azure Container Apps, AWS EC2 or equivalent cloud services. Strong understanding of cloud storage services such as Azure Blob Storage, Azure Data Lake, AWS S3 and related storage technologies.

Experience implementing CI/CD pipelines, release automation and deployment strategies using Azure DevOps, GitHub Actions, Jenkins or similar DevOps tools. Familiarity with Infrastructure as Code (Terraform, Bicep, ARM Templates or equivalent) and cloud resource provisioning.

Experience monitoring, troubleshooting and optimizing cloud-hosted applications for performance, scalability, security and reliability.

Generative AI / AI Engineering: robust understanding of Large Language Models (LLMs) and Generative AI application development. Hands-on experience with Azure OpenAI / OpenAI APIs, Azure AI Services or equivalent AI platforms.

Experience building AI solutions using Retrieval-Augmented Generation (RAG), vector databases, embeddings, semantic search, prompt engineering and structured data extraction from unstructured sources. Familiarity with AI frameworks such as LangChain, LlamaIndex, Semantic Kernel,



AutoGen or similar AI orchestration frameworks.

Experience integrating AI capabilities into enterprise applications using APIs, event-driven architectures and cloud-native services. The ideal candidate should possess strong analytical and problem-solving skills with the ability to design, develop, deploy and maintain secure, scalable and production-ready AI solutions. Excellent communication and collaboration skills are essential to work effectively with cross-functional teams and deliver business-focused cloud and AI solutions.

Key Responsibilities

- Design develop and deploy AI-powered applications and automation solutions using Python Java andor Nodejs
- Develop and consume RESTful APIs integrate enterprise systems and build scalable backend services
- Design and implement microservices-based architectures using modern application development frameworks
- Build and deploy cloud-native applications on Microsoft Azure preferred or AWS
- Hands-on experience with Docker and container orchestration using Kubernetes AKS EKS
- Experience deploying and managing applications using Azure Functions AWS Lambda Azure App Services Azure Virtual Machines VMs Azure Container Apps AWS EC2 or equivalent cloud services
- Strong understanding of cloud storage services such as Azure Blob Storage Azure Data Lake AWS S3 and related storage technologies




- Experience implementing CICD pipelines, release automation and deployment strategies using Azure DevOps GitHub Actions Jenkins or similar DevOps tools
- Familiarity with Infrastructure as Code Terraform Bicep ARM Templates or equivalent and cloud resource provisioning
- Experience monitoring troubleshooting and optimizing cloud-hosted applications for performance scalability security and reliability Generative AI / AI Engineering

- Strong understanding of Large Language Models LLMs and Generative AI application development
- Hands-on experience with Azure OpenAI OpenAI APIs Azure AI Services or equivalent AI platforms
- Experience building AI solutions using Retrieval-Augmented Generation RAG vector databases embeddings semantic search prompt engineering and structured data extraction from unstructured sources
- Familiarity with AI frameworks such as LangChain LlamaIndex Semantic Kernel AutoGen or similar AI orchestration frameworks
- Experience integrating AI capabilities into enterprise applications using APIs event-driven architectures and cloud-native services Qualifications

The ideal candidate should possess strong analytical and problem-solving skills with the ability to design develop deploy and maintain secure scalable and production-ready AI solutions. Excellent communication and collaboration skills are essential to work effectively with cross-functional teams and deliver business-focused cloud and AI solutions.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Gen AI Lead (Bengaluru)
🏢 ITC Infotech
📍 Bengaluru