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

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.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

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