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