Full Stack AI Engineer

VINOVA PTE. LTD.; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Vinova PTE. LTD. is seeking a software engineer focused on full-stack development and AI engineering, including LLM applications. The role involves designing scalable systems, collaborating with stakeholders, and delivering high-quality, accessible solutions across web and enterprise platforms.

You will work with modern tech like React, TypeScript, Node.js, and RAG-driven AI workflows, ensuring performance, reliability, and maintainability in fast-paced projects.

Qualifications

• Experience with Docker, IaC tooling and Bash scripting
• Commitment to accessibility and inclusive technology
• Familiarity with WCAG 2.2 Level A/AA and assistive technologies

Responsibilities

• Design and build scalable software systems for clients and internal use
• Develop full-stack applications using React.js, TypeScript, and Node.js
• Build LLM workflows with RAG, tool calls, structured outputs, agents, and human-in-the-loop patterns
• Establish observability, monitoring, guardrails, fallbacks, and validation for reliable AI systems
• Maintain automated tests and manage CI/CD pipelines and technical documentation

Tools

Docker

Infrastructure as Code

Bash scripting

Job description

Company Overview

Established in 2010, Vinova is an award-winning development company specializing in mobile, web, and enterprise applications. Serving global clients in IoT, blockchain, fintech, and ecommerce, Vinova delivers quality products through passionate, collaborative teams.

Job Summary

You will design and build scalable, reliable software systems with a focus on full-stack development and AI engineering, including LLM applications. Collaborate with stakeholders to deliver maintainable, high-quality solutions that meet modern accessibility and performance standards.

Responsibilities

• Design and build scalable software systems to meet client and business needs
• Develop full-stack applications using modern technologies such as React.js, TypeScript, and Node.js
• Troubleshoot and debug complex system behaviors and logs to ensure reliability
• Build LLM workflows using retrieval-augmented generation (RAG), tool calling, structured outputs, agents, and human-in-the-loop patterns
• Develop evaluation pipelines using golden datasets, regression tests, deterministic evaluators, and LLM-as-a-judge methods
• Implement observability, monitoring, guardrails, fallbacks, and validation to maintain reliable AI systems
• Balance model quality, latency, reliability, maintainability, and cost in AI solutions
• Maintain automated tests including unit, integration, and end-to-end testing to ensure software quality
• Manage CI/CD pipelines and technical documentation to support agile engineering practices
• Communicate technical trade-offs and quality standards clearly to diverse stakeholders

Preferred competencies and qualifications

• Knowledge of Docker, Infrastructure as Code, and Bash scripting
• Passion for building inclusive technology and applying digital accessibility standards
• Experience writing code compliant with Web Content Accessibility Guidelines (WCAG) 2.2 Level A and AA
• Familiarity with assistive technologies and screen readers such as VoiceOver, NVDA, and TalkBack
• Willingness to learn digital accessibility regulations and best practices