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Full‑Stack Applied AI Engineer (Agentic AI)

Job Description - Full‑Stack Applied AI Engineer (Agentic AI)




Role Overview



We are seeking a Full Stack Applied AI Engineer to build and deliver production grade, AI powered applications. This role focuses on applied and agentic AI, integrating LLMs into real-world full stack systems using modern frontend, backend, and Azure cloud technologies.



The ideal candidate is hands on, delivery oriented, and experienced in AI assisted/agentic coding, full stack development, and cloud deployments.







Key Responsibilities



• Design and develop AI enabled full stack applications across web and mobile platforms



• Build guided / agentic AI solutions using LLMs, prompt engineering, RAG, and tool/function calling



• Develop frontend applications using React and/or Flutter



• Build secure, scalable backend APIs and services using C# / .NET



• Integrate AI services into business workflows and user interfaces



• Deploy and operate applications on Microsoft Azure



• Implement CI/CD pipelines and follow DevOps best practices



• Ensure code quality, performance, security, and maintainability



• Collaborate closely with product, UX, and business stakeholders







Required Skills







Frontend



• React (mandatory)



• Flutter (preferred)







Backend



• C# / .NET



• REST API design and integration







Applied AI



• Hands on experience with LLMs and prompt engineering



• Experience building or integrating agentic AI workflows



• Familiarity with RAG, vector databases, LangChain like frameworks







Cloud & DevOps



• Microsoft Azure (App Services, Azure OpenAI, Functions, Storage, etc.)



• Azure DevOps CI/CD



• Docker (AKS is a plus)







Good to Have



• Experience with Azure OpenAI or similar AI platforms



• Python or Node.js for AI orchestration



• Experience integrating AI into enterprise/business systems



• Exposure to AI assisted development tools and workflows







Soft Skills



• Strong problem solving and ownership mindset



• Ability to translate business problems into practical AI solutions



• Clear communication with technical and non technical stakeholders



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