Full-Stack AI Engineer — Production-Ready & Scalable

KNOVEL ENGINEERING PTE. LTD.; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

Knovel Engineering Pte. Ltd. in Singapore seeks a Software Engineer (Full Stack) to build scalable backend services, APIs, and AI-powered workflows across Python, JavaScript, and Golang stacks.

You will containerize with Docker and orchestrate with Kubernetes, collaborating with product and research teams to move AI ideas into production. You should have a degree in CS/SE and 1–6 years of full stack experience, plus hands-on work with cloud/on‑prem environments and API design.

Qualifications

• Diploma/Degree in Information System, Computer Science or Computer Engineering or equivalent.
• 1–6 years of experience building full stack applications and production software.
• Strong Python and JavaScript/Typescript proficiency.
• Experience with Docker and Kubernetes is preferred.
• Experience designing and consuming REST/GraphQL APIs.

Responsibilities

• Design, build, and maintain full stack applications using Python, JavaScript, Next.js, Golang.
• Design and implement AI-powered workflows with multi-step tasks and tool integration.
• Containerize services and deploy with Docker and Kubernetes.
• Collaborate with product, research and engineering teams from idea to production.

Skills

Python

JavaScript/Typescript

Golang

Frontend and backend development

AI/ML concepts

Problem solving

Ownership mindset

Education

Diploma/Degree in Information System/Computer Science/Computer Engineering

Tools

Docker

Kubernetes

REST APIs

Cloud technologies

Job description

Knovel Engineering Pte. Ltd. in Singapore seeks a Software Engineer (Full Stack) to build scalable backend services, APIs, and AI-powered workflows across Python, JavaScript, and Golang stacks.

You will containerize with Docker and orchestrate with Kubernetes, collaborating with product and research teams to move AI ideas into production. You should have a degree in CS/SE and 1–6 years of full stack experience, plus hands-on work with cloud/on‑prem environments and API design.