Frontend AI Platform Engineer (Vue/TS) - Remote

Vuejobs; Singapore; Hybrid; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Lunch vouchers

Profit sharing

Job summary

DiliTrust is building a dedicated frontend squad around Lini, its AI engine, and seeks a strong Software Engineer with Vue.js focus to advance the platform. You will own features end-to-end, from design to deployment, across AI-enabled capabilities, and collaborate with product, ML, and design teams to deliver scalable solutions.

The role emphasizes clean, production-ready code, curiosity about AI, and turning model capabilities into great user experiences within a global SaaS suite.

Qualifications

• 5+ years of professional software engineering experience on B2B SaaS platforms in production.
• Proven ownership of features end-to-end from scoping and design to deployment and iteration.
• Experience in cross-functional teams (product, design, ML, or data).
• First exposure to AI or ML-powered products is a strong plus; deep expertise is not required.

Responsibilities

• Ship high-quality AI features in collaboration with ML, product, and engineering squads.
• Contribute to architecture discussions on LLM integration, context management, and scalability.
• Write well-tested, documented, and maintainable code; participate in code reviews.
• Help define and uphold squad engineering standards: testing, observability, CI/CD practices.
• Identify cross-team dependencies early and contribute to unblocking them.
• Grow understanding of LLM patterns and AI product design to bring ideas to team discussions.

Skills

Frontend Vue.js 3

Node.js/TypeScript

REST API design

LLM integration patterns

Tools

PostgreSQL

Docker

Kubernetes

Terraform

Job description

DiliTrust is building a dedicated frontend squad around Lini, its AI engine, and seeks a strong Software Engineer with Vue.js focus to advance the platform. You will own features end-to-end, from design to deployment, across AI-enabled capabilities, and collaborate with product, ML, and design teams to deliver scalable solutions.

The role emphasizes clean, production-ready code, curiosity about AI, and turning model capabilities into great user experiences within a global SaaS suite.