Full‑Stack Applied AI Engineer (Agentic AI)
Summary
Build production-grade AI-powered apps using LLMs, agentic workflows, and RAG on Azure, with full-stack C#/.NET backend and React frontend.
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