Agentic Product Engineer (AI-Assisted Development & Integration)

IA MEDIA PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A digital product company in Singapore is seeking a professional to design, extend, and maintain AI-driven digital products. The role involves coding, product enhancement, and collaboration with cross-functional teams. Candidates should have experience with AI tools, frontend and backend technologies, and strong communication skills. This position offers opportunities to work on innovative projects in a dynamic environment.

Qualifications

• Understanding of front-end (React, Next.js, or Vue) and back-end frameworks (Node.js, Django, Laravel).
• Experience debugging AI-generated code and validating outputs.
• Ability to translate business goals into technical product iterations.

Responsibilities

• Design, extend, and maintain digital products using AI-driven tools.
• Implement new features or refine existing modules in the repository.
• Support cross-functional collaboration and present progress updates.

Skills

Understanding of front-end basics

Understanding of back-end basics

Experience with agentic tools

Strong product mindset

Comfort with debugging AI-generated code

Effective communication skills

Tools

Git

GitHub Actions

Docker

Figma

Playwright

Postman AI

Job description

Role Purpose

To design, extend, and maintain digital products using AI-driven development tools, working directly on existing GitHub repositories without relying on large engineering teams. The role blends product strategy, technical implementation, and AI orchestration to deliver rapid, cost-efficient, and high-quality iterations.

Core Responsibilities

1. AI-Driven Development

• Use agentic coding systems (e.g., GPT-o1, Devin, Cursor, GitHub Copilot, Claude Artifacts) to read, interpret, and modify existing front- and back-end codebases.
• Generate and deploy new UI components, APIs, and data integrations through autonomous coding workflows.
• Guide AI agents with precise prompts and context to ensure output adheres to architecture, coding style, and business logic.

2. Product Enhancement & Feature Shipping

• Translate product briefs and user feedback into technical requirements.
• Implement new features or refine existing modules directly in the repository.
• Conduct automated testing, debugging, and documentation generation through AI tools.
• Coordinate minor design or UX updates via generative design integrations (e.g., Figma AI, Framer AI).

3. System Understanding & Integration

• Maintain an architectural understanding of the full stack — from database to UI layer.
• Integrate third-party APIs, payment gateways, and analytics tools via AI-assisted coding.
• Automate deployment pipelines using GitHub Actions or equivalent CI/CD frameworks.

4. AI Workflow Management

• Continuously refine agentic workflows for faster feature development and lower error rates.
• Evaluate new AI coding tools and models to optimize productivity.
• Document repeatable workflows for scaling across the product team.

5. Cross-Functional Collaboration

• Work with product owners, designers, and non-technical stakeholders to define priorities and validate output.
• Present weekly progress updates: features completed, tickets resolved, automation gains achieved.
• Support cost tracking of AI usage vs. manual development costs.

Skill Requirements

• Technical Foundations: Understanding of front-end (React, Next.js, or Vue) and back-end (Node.js, Django, or Laravel) basics. Familiarity with Git, GitHub Actions, REST APIs, JSON, Docker, and SQL/NoSQL.
• AI/Agentic Tools: Experience with agentic code systems (e.g., Devin, GPT-o1, Copilot Workspace, Claude Artifacts). Ability to prompt and guide models effectively.
• Product Mindset: Strong ability to translate business goals into product iterations. Understanding of user journeys, UX flow, and metrics.
• Analytical: Comfort with debugging AI-generated code, identifying logic gaps, and writing validation scripts.
• Communication: Able to explain technical decisions in product terms to non-technical stakeholders.

Tool Stack

• Agentic Coding: GPT-o1, Claude 3.5 Artifacts, GitHub Copilot Workspace, Cursor IDE
• Version Control: GitHub, GitLab
• Deployment / CI-CD: GitHub Actions, Vercel, Netlify, Docker
• UI / UX: Figma, Framer AI, Midjourney (for concept visualization)
• Testing / QA: Playwright, Jest, Postman AI
• Documentation: Notion AI, Docusaurus, or auto-generated markdowns via agents

Reporting Line

Reports to: Chief Product Officer / CTO

Works with: Product Managers, UI/UX Designers, AI Ops Manager (if any)