Prompt Engineer

2 weeks ago

Singapore SINGAPORE TRADE DATA EXCHANGE (SGTRADEX) TECHNOLOGIES PTE. LTD. Full time

Join us in an exciting role at the forefront of Generative AI transformation, building Singapore's digital metropolis. If you have what it takes to pioneer AI-assisted development, we are looking for a Prompt Engineer for the role in SGTraDex Technologies Pte Ltd, a wholly owned subsidiary of IMDA. What the role is: SGTraDex Technologies Pte Ltd is a company incorporated to design, own and operate a trusted and secured data exchange highway. As a Prompt Engineer, you will work at the intersection of software development and artificial intelligence, using tools like GitHub Copilot, Claude Code, Windsurf, and other LLM-driven systems to prompt, refine, supervise, and guide AI-generated code. You will design systems end-to-end and oversee implementations from prototype to enterprise-scale deployments. What you will be working on: Craft effective prompts and workflows to guide AI models in producing accurate, maintainable, and secure code Design, evaluate, and refine AI-generated outputs to meet software and business requirements Architect scalable enterprise-grade applications using AI-assisted development practices Build rapid prototypes and iterate quickly using GenAI tools, then refine toward production quality Integrate AI into existing software delivery pipelines and DevOps processes Perform rigorous code reviews of both human-written and AI-generated code Maintain documentation, prompt libraries, and reuse patterns for internal efficiency Collaborate cross-functionally with product owners, designers, and engineers Mentor team members in effective prompt engineering practices Champion ethical and responsible AI usage in engineering workflows What we are looking for Technical Skills: Proficiency with AI-assisted coding tools such as GitHub Copilot, Claude Code, Windsurf, Cursor, or similar Strong grounding in full-stack development and ability to validate AI-generated code across frontend, backend, and infrastructure Familiarity with modern web frameworks (e.g. React, Next.js, Node.js, Go, Python)Solid understanding of cloud platforms (AWS, Azure, GCP) and cloud-native architecture Experience with containerization (Docker), CI/CD, and version control workflows (Git, GitHub Actions)Working knowledge of relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases Exposure to secure software development practices and LLM safety Soft Skills: Critical thinking and attention to detail when reviewing AI-generated code Strong verbal and written communication to collaborate with both technical and non-technical stakeholders Growth mindset and comfort with experimentation and rapid iteration Ability to translate vague or abstract requirements into concrete prompts and implementations Curiosity and adaptability in the rapidly evolving landscape of generative AI Qualifications: Degree or Diploma in Computer Science, Software Engineering, Artificial Intelligence, or related fields Prior experience in software engineering with demonstrable use of AI tools in code generation, testing, or optimization Experience leading or mentoring in AI-enhanced development teams is a plus #J-18808-Ljbffr

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