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Open nowPosted 14 days ago

Full‑Stack Applied AI Engineer (Agentic AI)

MyCareersFuture94,028 open roles

Pay
SGD 6,000 – SGD 8,500 a month
Where
Central, Singapore
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Your applicationOpen nowFull‑Stack Applied AI Engineer (Agentic AI)MyCareersFuture · Central, Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 14 days ago

The posting

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

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