Azure Logic Apps Developer

Role & responsibilities

Azure Logic Apps Developer AI & Integration

Position Overview

We are looking for an Azure Logic Apps Developer with strong expertise in Azure Integration Services (iPaaS) and hands-on exposure to AI/LLM-driven workflows and Agentic AI.

The ideal candidate will be responsible for designing and developing enterprise-grade integration solutions using Azure Logic Apps and related services, while also leveraging Azure OpenAI, LLMs, prompt engineering, AI agents, and tool-use patterns to build intelligent and automated cloud workflows.

This role is ideal for someone who combines strong Azure integration and development skills with a hands-on, AI-driven approach to modern software development.

Key Responsibilities

Azure Integration & Workflow Development

• Design, develop, deploy, and maintain complex enterprise integration workflows using Azure Logic Apps (Standard and Consumption).
• Build integrations using Azure Functions, Azure Service Bus, API Management, REST APIs, webhooks, and other Azure Integration Services.
• Implement scalable and reliable enterprise integration patterns and ensure robust error handling, logging, monitoring, and troubleshooting.
• Develop custom workflow components and integrations based on business and technical requirements.

AI & Agentic Workflow Integration

• Integrate Large Language Models (LLMs) and AI capabilities into enterprise workflows and cloud-based integration solutions.
• Build and configure AI agents and agentic workflows, including conversational and autonomous workflows.
• Work with Logic Apps Agent Loop capabilities, APIs, tools, and enterprise data sources to enable intelligent workflow automation.
• Integrate Azure OpenAI Service and other AI/LLM capabilities into business processes and integration workflows.
• Configure system instructions, prompts, agent boundaries, tools, parameters, and enterprise knowledge sources.
• Apply prompt engineering and tool-use patterns to improve the reliability and effectiveness of AI-driven workflows.

API & Integration Services

• Design, develop, and integrate REST/SOAP APIs and enterprise endpoints.
• Work with Azure API Management to securely expose, manage, and monitor APIs.
• Implement authentication, authorization, exception handling, retries, and other integration best practices.
• Troubleshoot integration issues across applications, APIs, and Azure services.

Development & Custom Coding

• Develop custom code components, Azure Functions, or workflow actions using C# (.NET Core/.NET 6+) or Python.
• Translate business requirements into scalable and maintainable integration solutions.
• Follow coding standards, design principles, and best practices for cloud-native development.

DevOps & Deployment

• Implement CI/CD pipelines for Logic Apps and related Azure resources using Azure DevOps or GitHub Actions.
• Manage source code and configuration using Git.
• Support automated deployment across development, testing, and production environments.
• Follow Infrastructure-as-Code and DevOps best practices where applicable.

AI-Driven Development

• Demonstrate an AI-first/AI-driven approach to day-to-day software development.
• Leverage AI coding assistants and developer tools to improve productivity, code quality, troubleshooting, documentation, and solution design.
• Stay current with emerging Generative AI, Agentic AI, LLM, and AI-assisted development practices.

Must-Have Skills

• 36 years of hands-on experience with Azure Logic Apps, including Standard and/or Consumption.
• Strong experience with Azure Functions and Azure Integration Services.
• Strong understanding of enterprise integration patterns, REST APIs, webhooks, and API-based integrations.
• Hands-on experience with Azure Service Bus and preferably Azure API Management.
• Experience with Azure OpenAI Service, LLMs, and prompt engineering.
• Familiarity with Agentic AI concepts, agent loops, tool calling, and AI-driven workflow automation.
• Proficiency in C# (.NET Core/.NET 6+) or Python for custom development and Azure Functions.
• Experience with Git and CI/CD pipelines, preferably using Azure DevOps or GitHub Actions.
• Hands-on experience or working familiarity with Claude and Claude Code.
• Strong problem-solving and troubleshooting skills.
• Ability to adopt an AI-driven approach to software development and automation.

Good-to-Have Skills

• Experience with Azure Integration Account, API Management, Event Grid, Event Hubs, or Azure Storage.
• Experience integrating enterprise applications such as SAP, Salesforce, ServiceNow, Dynamics 365, or other SaaS platforms.
• Knowledge of RAG, vector databases, enterprise knowledge bases, and AI grounding techniques.
• Experience with MCP, AI tools, function calling, or agent orchestration frameworks.
• Experience with Infrastructure as Code such as Terraform, Bicep, or ARM templates.
• Understanding of security, identity, and authentication concepts including Microsoft Entra ID, OAuth 2.0, and managed identities.

Candidate Profile

The ideal candidate should have:

• Strong hands-on experience in Azure Integration and Logic Apps development.
• A good understanding of enterprise integration architecture and cloud-native solutions.
• Practical exposure to Generative AI/LLMs and Agentic AI workflows.
• A willingness to experiment with and adopt new AI-powered development tools and techniques.
• Strong communication, analytical, and problem-solving skills.
• Ability to work independently as well as collaborate with cross-functional technical teams.

Experience

6-10 years

Primary Skills

Azure Logic Apps | Azure Functions | Azure Integration Services | Azure Service Bus | REST APIs | API Management | Azure OpenAI | LLM | Prompt Engineering | Agentic AI | C#/.NET or Python | Git | CI/CD | Claude | Claude Code

Role Focus

Azure Integration + Generative AI + Agentic AI + Intelligent Workflow Automation