Job Description

Project Role :

Infra Tech Support Practitioner

Project Role Description :

Provide ongoing technical support and maintenance of production and development systems and software products (both remote and onsite) and for configured services running on various platforms (operating within a defined operating model and processes). Provide hardware/software support and implement technology at the operating system-level across all server and network areas, and for particular software solutions/vendors/brands. Work includes L1 and L2/ basic and intermediate level troubleshooting.

Must have skills :

Generative AI

Good to have skills :

NA

Minimum

12

year(s) of experience is required

Educational Qualification :

15 years full time education



We are seeking a highly skilled Full Stack AI Developer with hands-on experience in designing and implementing advanced AI-driven solutions. The ideal candidate will have expertise in multi-agent orchestration, cloud-based AI services, and end-to-end application development. This role requires a strong foundation in artificial intelligence, data engineering, and cloud deployment using Microsoft Azure technologies. Key Responsibilities AI Solution Development: Design, build, and deploy multi-agent orchestration systems leveraging Microsoft Azure OpenAI and AI Foundry. Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases for optimized AI performance. Data Engineering & Integration: Develop and manage Azure Data Factory or Fabric Data Flow pipelines for data ingestion, transformation, and orchestration. Integrate structured and unstructured data sources for AI-driven applications. Application Development: Build and maintain full-stack applications (front-end and back-end) that integrate AI services. Develop Azure Logic Apps for workflow automation and system integration. Cloud Deployment & Optimization: Deploy and scale AI solutions on Azure Cloud ensuring security, performance, and cost efficiency. Implement monitoring, logging, and CI/CD pipelines for AI applications. Required Skills & Qualifications Technical Expertise: Proficiency in Microsoft Azure services: Azure OpenAI, AI Foundry, Data Factory/Fabric, Logic Apps. Strong experience with vector databases (e.g., Pinecone, Weaviate, Chroma) and RAG implementation. Hands-on experience in multi-agent orchestration frameworks (e.g., LangChain, Semantic Kernel, AutoGen). Programming & Full-Stack Skills: Proficiency in Python, JavaScript/TypeScript, and frameworks like React, Node.js, or .NET. Experience with RESTful APIs, GraphQL, and microservices architecture. AI & Data Engineering: Knowledge of LLM fine-tuning, prompt engineering, and AI model integration. Strong understanding of ETL pipelines, data modeling, and data governance. Other Requirements: Familiarity with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes). Excellent problem-solving skills and ability to work in an agile environment. Preferred Qualifications Experience with Azure Cognitive Services and AI security best practices. Exposure to MLOps and model lifecycle management. Prior experience in enterprise-scale AI deployments




15 years full time education