Azure Logic Apps Developer

Job description

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 Py