Senior Full Stack AI Engineer

ABOUT THE ROLEIn this role, you will build AI-powered applications on Microsoft Azure, combining modern full stack engineering with agentic AI. You’ll own features end-to-end, collaborate with cross-functional teams, and shape intelligent user experiences using LLMs, multi-agent architectures, and cloud-native technologies while contributing to engineering best practices.Please note that this is a hybrid role, requiring office attendance at least twice a week.RESPONSIBILITIESDesign and deliver production-ready AI-powered applications, owning features across the full stack from user interface to cloud servicesBuild responsive front-end experiences using React, Angular, or Next.js with TypeScript, including conversational interfaces and real-time interactionsDevelop scalable back-end services and APIs using C#/.NET and/or Python to enable communication between AI agents, business systems, and usersImplement agentic workflows using Semantic Kernel, AutoGen, LangGraph, Azure AI Agent Service, or similar frameworks, integrating Azure OpenAI and RAG capabilitiesArchitect and optimize cloud-native solutions using Azure services, including Azure Functions, AKS, Azure Container Apps, Cosmos DB, Azure AI Search, Service Bus, and Event GridCollaborate with product managers, designers, and data specialists to translate business goals into intuitive AI-driven experiences while ensuring security, scalability, and observabilityEstablish engineering best practices by contributing to architecture decisions, mentoring teammates, and improving CI/CD, infrastructure-as-code, testing, and deployment processesPromote responsible AI development by implementing evaluation frameworks, guardrails, monitoring, and secure authentication practices across the solution.REQUIREMENTS5+ years of experience in full stack software engineering, including at least 3 years working with Microsoft Azure.Strong expertise in modern front-end development using React, Angular, or Next.js with TypeScript, HTML, CSS, and state management libraries.Solid experience developing scalable back-end services with C#/.NET and/or Python, including REST APIs, microservices, and distributed systemsHands-on experience building AI applications using Azure OpenAI, Azure AI Foundry (AI Studio), Semantic Kernel, AutoGen, LangGraph, or similar agent frameworksAdvanced knowledge of Azure services, including Azure Functions, AKS, Azure Container Apps, Azure AI Search, Cosmos DB, Service Bus, Event Grid, Key Vault, and EntraIDPractical experience implementing RAG architectures, embeddings, prompt orchestration, tool/function calling, and streaming AI responsesStrong understanding of DevOps practices, including Docker, Kubernetes, Infrastructure as Code (Bicep or Terraform), CI/CD pipelines, and automated testingProven ability to collaborate across multidisciplinary teams, drive technical decisions, mentor engineers, and communicate complex technical concepts clearly.