Senior Full Stack/AI Agents Engineer (Azure)

SoftServe; Abu Dhabi; On-site; AED 312,480 - 558,000; Full time

Job summary

SoftServe is seeking a full-stack engineer to build AI-powered applications on Microsoft Azure, combining front-end and back-end work with agentic AI capabilities. You will own features end-to-end and collaborate with cross-functional teams to deliver intelligent user experiences.

The role is hybrid, requiring office attendance at least twice a week, and you will work with React/Angular/Next.js, C#/.NET or Python, and Azure AI tools to create scalable, secure solutions.

Qualifications

• 5+ years of full stack software engineering with 3+ years on Azure.
• Proficiency in React/Angular/Next.js and TypeScript.
• Experience building AI apps with Azure OpenAI and agent frameworks.
• Strong knowledge of Azure services and cloud-native architectures.
• DevOps expertise: Docker, Kubernetes, IaC, CI/CD, testing.

Responsibilities

• Design and deliver production-ready AI apps across the full stack.
• Build responsive front-ends with React/Angular/Next.js and TS.
• Develop scalable back-end services and REST APIs in C#/.NET or Python.
• Implement agentic workflows with Azure/OpenAI frameworks and RAG.
• Architect cloud-native solutions using Azure services.
• Collaborate with product/design/data to translate goals into AI experiences.
• Promote engineering best practices: CI/CD, IaC, testing, deployment.
• Advance responsible AI with evaluation, guardrails, monitoring, secure auth.

Skills

React

Angular

Next.js

TypeScript

C#

.NET

Python

Azure

Azure OpenAI

Semantic Kernel

LangGraph

AI Frameworks

Azure Functions

AKS

Cosmos DB

Service Bus

Event Grid

CI/CD

Infrastructure as Code

Tools

Docker

Kubernetes

Terraform

Bicep

Job description

In 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.

RESPONSIBILITIES

• Design and deliver production-ready AI-powered applications, owning features across the full stack from user interface to cloud services
• Build responsive front-end experiences using React, Angular, or Next.js with TypeScript, including conversational interfaces and real-time interactions
• Develop scalable back-end services and APIs using C#/.NET and/or Python to enable communication between AI agents, business systems, and users
• Implement agentic workflows using Semantic Kernel, AutoGen, LangGraph, Azure AI Agent Service, or similar frameworks, integrating Azure OpenAI and RAG capabilities
• Architect and optimize cloud-native solutions using Azure services, including Azure Functions, AKS, Azure Container Apps, Cosmos DB, Azure AI Search, Service Bus, and Event Grid
• Collaborate with product managers, designers, and data specialists to translate business goals into intuitive AI-driven experiences while ensuring security, scalability, and observability
• Establish engineering best practices by contributing to architecture decisions, mentoring teammates, and improving CI/CD, infrastructure-as-code, testing, and deployment processes
• Promote responsible AI development by implementing evaluation frameworks, guardrails, monitoring, and secure authentication practices across the solution.

REQUIREMENTS

• 5+ 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 systems
• Hands-on experience building AI applications using Azure OpenAI, Azure AI Foundry (AI Studio), Semantic Kernel, AutoGen, LangGraph, or similar agent frameworks
• Advanced knowledge of Azure services, including Azure Functions, AKS, Azure Container Apps, Azure AI Search, Cosmos DB, Service Bus, Event Grid, Key Vault, and EntraID
• Practical experience implementing RAG architectures, embeddings, prompt orchestration, tool/function calling, and streaming AI responses
• Strong understanding of DevOps practices, including Docker, Kubernetes, Infrastructure as Code (Bicep or Terraform), CI/CD pipelines, and automated testing
• Proven ability to collaborate across multidisciplinary teams, drive technical decisions, mentor engineers, and communicate complex technical concepts clearly.