Product Development Engineer

Dexian Asia Pacific; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Dexian Asia Pacific is seeking an Applied AI Product Engineer to build internal products and integrations that help content, product, and research teams design, evaluate, and launch AI-powered experiences. You will work across the product lifecycle, from problem understanding to implementation, launch, and iteration, turning repetitive tasks into reliable self‑service tools.

This hands-on role focuses on AI tooling, data workflows, and new applied-AI prototypes, with emphasis on production

Qualifications

• Bachelor's degree or equivalent practical experience in a technical field.
• 6+ years of experience building production software in software engineering, product engineering, ML engineering, or hands‑on roles.
• Experience owning scoped technical products from problem to launch and iteration.
• Experience building or integrating APIs, backend services, data workflows or full‑stack products with debugging of complex integrations.
• Experience applying production engineering practices: automated testing, observability, actionable errors, safe failure handling.
• Experience using data and metrics to evaluate outcomes and communicating technical concepts and trade-offs to stakeholders.

Responsibilities

• Partner with users to understand problems, outcomes, and constraints before choosing a solution.
• Build end-to-end internal products, integrations and data workflows.
• Turn prototypes into reliable, reusable capabilities.
• Design evaluation and feedback loops for AI-powered workflows.
• Apply production engineering practices including testing, observability, and safe failure handling.
• Use AI coding tools thoughtfully, reviewing and validating generated work.
• Measure adoption, quality, time saved, and reduction in manual work.
• Create documentation and onboarding paths for independent use.
• Own and prioritize multiple technical workstreams with clear trade-offs.

Skills

API design

Full-stack development

Production engineering

Data-driven decision making

Stakeholder communication

Problem definition

Education

Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience

Job description

As an Applied AI Product Engineer, you will build internal products and integrations that help content, product, and research teams design, evaluate, and launch AI-powered experiences. You will work across the product lifecycle, from understanding ambiguous user problems and defining a technical approach to implementation, launch, and iteration. This is a hands‑on engineering role. Most of your time will be spent designing, coding, testing, and operating solutions, with enough internal user interaction to ensure we are solving the right problems. A core part of the role is turning repeated technical support and manual workflows into reliable self‑service tools. The work spans AI product evaluation tooling, data and analytics workflows, and new applied‑AI prototypes.

What youʼll do

• Partner with technical and non-technical users to understand the problem, desired outcome, and constraints before selecting a solution.
• Build end-to-end internal products, integrations and data workflows.
• Turn prototypes and one‑off solutions into reliable, reusable capabilities.
• Design evaluation and feedback loops for AI-powered workflows.
• Apply production engineering practices, including testing, observability, actionable errors, and safe failure handling.
• Use AI coding tools thoughtfully, reviewing and validating all generated work.
• Measure adoption, quality, time saved, and reduction in manual support.
• Create documentation and onboarding paths that allow users and engineers to operate independently.
• Own and prioritize several technical workstreams, making clear trade-offs based on impact and complexity.

• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
• 6+ years of experience building production software in software engineering, product engineering, ML engineering, or a hands‑on technical solutions role.
• Experience independently owning scoped technical products from an ambiguous problem through design, implementation, launch, and iteration.
• Experience building or integrating APIs, backend services, data workflows, or full‑stack products, including debugging complex integration issues.
• Experience applying production engineering practices such as automated testing, observability, actionable errors, and safe failure handling.
• Experience using data and metrics to evaluate outcomes and communicating technical concepts and trade‑offs to technical and non-technical stakeholders.