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Flintex Consulting Pte Ltd

Full‑Stack Applied AI Engineer (Agentic AI)

Posted Updated 3 views
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Salary: $6,000 – $8,500 per month

Benefits : Contract Completion Bonus

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


Skills

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See also

AI Engineering jobs by country — openings, pay and top skills →

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