Full‑Stack Applied AI Engineer (Agentic AI)
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Summary
Flintex is hiring a Singapore-based full-stack engineer to build production-grade, AI-powered applications with an agentic AI focus — LLMs, prompt engineering, RAG, and tool/function calling — using React (or Flutter) frontends, C#/.NET backends, and Microsoft Azure with Azure DevOps CI/CD and Docker.
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