> Markdown version of [/jobs/ext/1172718-agentic-ai-developer](https://www.wearedevelopers.com/jobs/ext/1172718-agentic-ai-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Agentic AI Developer - **Company:** Wipro Limited - **Location:** Minneapolis, MN, United States - **Experience:** Expert - **Salary:** $80,000.0 - $158,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Frameworks, Microsoft Azure, Software as a Service, Cloud Computing, Computer Programming, Databases, Continuous Integration, DevOps, Design of User Interfaces, Python (Programming Language), Cloud Services, Software Deployment, Software Engineering, Systems Integration, Workflow Management Systems, Enterprise Software Applications, Spring Cloud, ReactJS, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Prompt Engineering, Event Driven Architecture, Containerization, Kubernetes, Virtual Agents, Restful APIs, Serverless Computing, Docker, Microservices - **Published:** July 3, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=fc0865437a8005c3 ## About the Role 5+ years in software engineering with strong experience in cloud-native development Hands-on experience with: Azure AI Foundry / Azure OpenAI AI agent frameworks (e.g., Autogen, Semantic Kernel, LangChain, Agent SDKs) Strong programming expertise in: Python (preferred) or Java Experience building: REST APIs, microservices, event-driven architectures Familiarity with: LLMs, prompt engineering, RAG architectures Multi-agent orchestration and workflow design Experience with cloud services: Azure (Functions, Storage, DevOps, Service Bus) OR AWS equivalents Knowledge of CI/CD, DevOps, and containerization (Docker/Kubernetes) Experience integrating enterprise systems (APIs, databases, SaaS platforms) Preferred Qualifications Experience building multi-agent platforms or autonomous workflows Exposure to AI governance, safety, and responsible AI practices Familiarity with agent-to-agent communication and orchestration protocols Experience in building GenAI-enabled user interfaces (React or similar) Certifications in Azure AI / AWS AI / Cloud Architect roles Key Competencies Strong problem-solving and system design skills Ability to translate business use cases into AI-driven architectures Collaboration across cross-functional teams (engineering, data, business) Focus on performance, scalability, and production readiness Mandatory Skills: Fullstack Java Enterprise . Experience: 8-10 Years . ## Description We are seeking a Software Engineer specializing in Agentic AI to design, build, and deploy intelligent AI agents leveraging Azure AI Foundry. The role focuses on developing scalable, production-grade multi-agent solutions that automate business processes and accelerate enterprise AI adoption. This engineer will work across the full lifecycle-from solution design and model integration to deployment, orchestration, and optimization of AI agents in cloud-native environments., Design and develop AI agents and multi-agent systems using Amazon Bedrock or Azure AI Foundry / Agent frameworks Build agent-driven workflows to automate enterprise processes and orchestrate tasks across systems Integrate LLMs, APIs, enterprise data sources, and external services into agent architectures Develop RAG-based and conversational AI solutions using modern GenAI frameworks Implement scalable, cloud-native applications using microservices and serverless patterns Collaborate with architects and domain teams to translate business requirements into AI-driven solutions Ensure secure, compliant, and responsible AI implementations (governance, explainability, monitoring) Build reusable frameworks, SDK integrations, and automation pipelines for agent deployment Optimize agent performance, latency, and cost across cloud environments Contribute to CI/CD pipelines, testing, and production deployment of AI solutions ## Related Videos - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [AI Agents & Agentic AI](https://www.wearedevelopers.com/videos/2017-ai-agents-agentic-ai) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools)