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 Responsibilities End-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 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