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Open nowPosted yesterday

Full Stack Developer

FLINTEX CONSULTING PTE. LTD.

Pay
SGD 6,500 – SGD 7,500 a month
Where
Central, Singapore
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Your applicationOpen nowFull Stack DeveloperFLINTEX CONSULTING PTE. LTD. · 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 FLINTEX CONSULTING PTE. LTD.'s own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted yesterday

The posting

Key Responsibilities

• Design, develop, test, deploy, and maintain scalable enterprise applications.

• Develop backend applications and services using C# and .NET/.NET Core.

• Build and maintain cloud-native solutions on Microsoft Azure.

• Develop, configure, and support Azure Logic Apps and system integrations.

• Design and implement RESTful APIs for internal and external applications.

• Develop, optimize, and maintain Microsoft SQL Server databases, stored procedures, and queries.

• Build and maintain CI/CD pipelines using Azure DevOps.

• Collaborate with cross-functional teams to gather requirements and deliver high-quality software solutions.

• Troubleshoot, debug, and optimize application performance.

• Participate in code reviews and ensure adherence to software development best practices.

• Evaluate, design, and integrate AI and Generative AI capabilities into enterprise applications and business workflows.

• Develop AI-powered solutions using Large Language Models (LLMs), prompt engineering, and enterprise AI services.

• Design and implement agentic AI workflows capable of orchestrating APIs, enterprise data sources, and business processes.

• Implement Retrieval-Augmented Generation (RAG) solutions to securely ground AI responses using enterprise data.

• Evaluate AI solution quality, including response accuracy, grounding, security, performance, and responsible AI considerations.

• Contribute to both frontend and backend development to deliver complete end-to-end solutions.

Required Skills & Experience

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline.

• Proven experience in software development using:

C#

.NET / .NET Core

Microsoft Azure

Azure DevOps

Azure Logic Apps

REST API development

Microsoft SQL Server

• Hands-on experience with Large Language Models (LLMs), Generative AI, and prompt engineering.

• Experience building or integrating AI/LLM capabilities into applications or enterprise workflows.

• Understanding of agentic AI concepts, including tool/function calling, workflow orchestration, and multi-step AI processes.

• Familiarity with Retrieval-Augmented Generation (RAG), embeddings, vector search, and vector databases.

• Knowledge of AI technologies and their practical application in enterprise solutions.

• Strong analytical, problem-solving, and debugging skills.

• Excellent communication and collaboration skills.

Preferred Skills

• Experience in Full Stack Development with both frontend and backend technologies.

• Hands-on experience with modern frontend frameworks such as React, Angular, or Vue.js.

• Strong knowledge of HTML5, CSS3, JavaScript, and TypeScript.

• Experience with cloud-based application architecture and microservices.

• Knowledge of Python is a strong advantage.

• Experience with AI application frameworks such as LangChain, Semantic Kernel, or similar orchestration frameworks.

• Experience with enterprise AI services such as Azure OpenAI Service, Azure AI Foundry, or equivalent platforms.

• Experience implementing RAG solutions using vector search technologies such as Azure AI Search or similar vector databases.

• Understanding of AI security and Responsible AI principles, including data privacy, prompt injection risks, access control, and AI output validation.

• Exposure to evaluation, monitoring, and observability of LLM-based applications is an advantage.

• Familiarity with containerization technologies such as Docker and Kubernetes is a plus.

• Experience working in Agile/Scrum environments.

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  1. A CV for this posting

    Written against FLINTEX CONSULTING PTE. LTD.'s own wording, from every piece of relevant proof in your profile.

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    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on FLINTEX CONSULTING PTE. LTD.'s form

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