Senior Prompt Engineer (AI-Driven Developer) (JD#11260)

SCIENTE INTERNATIONAL PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

SCIENTE INTERNATIONAL PTE. LTD. in Singapore seeks a Prompt Engineer – AI-Assisted Software Engineering to join our team, blending software development with AI to prompt, refine, and guide AI-generated code using Copilot, Claude Code, Windsurf, and Cursor.

The ideal candidate has strong software fundamentals and hands-on AI experience, aiming to improve how engineering teams build software with GenAI. Singapore-based role with collaboration across product, DevOps, and engineering.

Qualifications

• Degree or Diploma in Computer Science, Software Engineering, AI, Information Technology, or related field.

Responsibilities

• Design prompts, agent workflows, and AI-assisted development processes to generate accurate, maintainable, scalable, and secure code.

Skills

GitHub Copilot

Claude Code

Windsurf

Cursor

Full-stack

React/Next.js

Node.js

Python

Go

Cloud Platforms

Docker

CI/CD

Git

PostgreSQL

MySQL

MongoDB

DynamoDB

Security practices

LLM safety

Code reviews

AI governance

Testing & debugging

Education

Degree in CS/SE/AI or related

Software Engineering background

AI-related qualification

Tools

GitHub Copilot

Claude Code

Windsurf

Cursor

Docker

GitHub Actions

PostgreSQL

MongoDB

Job description

Job Summary

We are looking for a Prompt Engineer – AI-Assisted Software Engineering to work at the intersection of software development and artificial intelligence. In this role, you will leverage AI-powered development tools such as GitHub Copilot, Claude Code, Windsurf, Cursor, and other LLM-driven systems to prompt, refine, supervise, and guide AI-generated software.

The ideal candidate combines strong software engineering fundamentals with hands-on experience in generative AI and a passion for improving how engineering teams build software using AI.

Mandatory Skill-set

• Degree or Diploma in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related discipline;
• Prior professional experience in software engineering, application development, or a closely related technical role
• Must have hands-on experience with AI-assisted coding and development tools such as GitHub Copilot, Claude Code, Windsurf, Cursor, or similar LLM-powered platforms;
• Must have experience in full-stack software development, with the ability to review and validate AI-generated code across frontend, backend, APIs, and infrastructure;
• Experience with modern development frameworks and programming languages such as React / Next.js,Node.js, Python, Go or equivalent modern technology stacks;
• Solid understanding of cloud platforms and cloud-native architecture, including AWS, Azure, or GCP;
• Practical experience with Docker, CI/CD pipelines, Git, and GitHub Actions;
• Working knowledge of relational databases such as PostgreSQL and MySQL;
• Working knowledge of NoSQL databases such as MongoDB and DynamoDB;
• Understanding of secure software development practices, application security, and common vulnerabilities;
• Familiarity with LLM safety, prompt security, AI governance, and responsible AI practices;
• Experience with software testing, debugging, observability, and production-quality engineering practices.

Desired Skill-set

• Experience with AI agents, agentic coding workflows, RAG, LLM APIs, or AI orchestration frameworks;
• Experience integrating LLM capabilities into enterprise applications or developer platforms;
• Knowledge of DevSecOps and AI-assisted security practices;
• Experience establishing organizational prompt engineering standards, reusable AI workflows, or internal prompt libraries.

Responsibilities

• Design effective prompts, agent workflows, and AI-assisted development processes to generate accurate, maintainable, scalable, and secure code;
• Evaluate, refine, and validate AI-generated code and technical outputs against software, security, and business requirements;
• Architect and develop scalable, enterprise-grade applications using AI-assisted software engineering practices;
• Build rapid prototypes using GenAI development tools and iteratively refine them toward production-ready solutions;
• Integrate AI capabilities into existing software development, CI/CD, and DevOps workflows;
• Conduct rigorous code reviews of both human-written and AI-generated code, ensuring quality, performance, security, and maintainability;
• Establish and maintain prompt libraries, reusable workflows, coding patterns, and AI engineering best practices;
• Collaborate closely with product owners, designers, software engineers, DevOps teams, and other stakeholders to translate business requirements into technical solutions;
• Mentor engineers and team members on effective prompt engineering, AI-assisted coding, and responsible use of GenAI tools;
• Experiment with emerging AI coding tools, models, frameworks, and agentic development approaches to identify opportunities for engineering productivity improvements;
• Champion ethical, secure, and responsible AI usage throughout the software development lifecycle;
• Establish appropriate validation, testing, and governance practices for AI-generated software.

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639