Full‑Stack Applied AI Engineer (Agentic AI)

Job Description:We are seeking a Full-Stack Applied AI Engineer to build and deliver production-grade, AI-powered applications. This role focuses on applied AI, including agentic systems, and involves integrating Large Language Models (LLMs) into real-world applications using modern frontend, backend, and Azure cloud technologies.The ideal candidate is a delivery-oriented developer with a strong foundation in full-stack development and a passion for applying AI to solve business problems.Key ResponsibilitiesEnd-to-End Development: Own the design, development, and deployment of AI-enabled full-stack applications.AI Integration: Build and integrate AI-driven features using LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), and function/tool-calling.Frontend Development: Develop responsive and intuitive user interfaces using React.Backend Development: Build secure, scalable backend APIs and services using C# / .NET.Cloud Deployment: Deploy, manage, and monitor applications on Microsoft Azure, utilizing services like App Services, Azure OpenAI, and Azure Functions.DevOps & Quality: Implement and maintain CI/CD pipelines, automated testing, and observability to ensure system reliability and performance.Collaboration: Partner closely with product managers, UX designers, and business stakeholders to translate requirements into technical solutions.Required SkillsFrontend· React (mandatory)· Flutter (preferred)Backend· C# / .NET· REST API design and integrationApplied AI· Hands-on experience with LLMs and prompt engineering· Experience building or integrating agentic AI workflows· Familiarity with RAG, vector databases, LangChain-like frameworksCloud & 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 workflowsSoft Skills· Strong problem-solving and ownership mindset· Ability to translate business problems into practical AI solutions· Clear communication with technical and non-technical stakeholders