AI-Driven Full-Stack Engineer

ANCHOR GLOBAL CONSULTING PTE. LTD.; Singapore; On-site; SGD 90,000 - 135,000; Full time

Job summary

ANCHOR GLOBAL CONSULTING PTE. LTD. is seeking a capable Front to Back Software Engineer to design, develop, and deploy modern digital solutions. You will work across the full stack from UI to APIs, leveraging AI-assisted coding tools and integrating AI capabilities into product features.

The role emphasizes rapid delivery, scalable architecture, and collaboration with data scientists and solution architects to turn prototypes into production-ready software.

Qualifications

• 3 years of professional experience building and delivering production web applications as a full stack developer.
• Strong hands-on proficiency in at least one backend stack: Node.js, Golang, Python.
• Strong hands-on proficiency in at least one frontend framework: React/Angular/Vue.
• Solid understanding of API design (REST/JSON; GraphQL a plus) and microservices.
• Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).

Responsibilities

• Design, develop, test, and deploy end-to-end web applications across frontend, backend, APIs, and data layers.
• Translate requirements into well-architected software components using design patterns.
• Develop microservices and REST/GraphQL APIs using modern stacks.
• Build responsive, accessible UIs with modern JS frameworks.
• Collaborate with data scientists and architects to deliver AI-enabled features.

Skills

Full stack development

AI-assisted tools

Java/Spring Boot

React/Angular/Vue

SQL/NoSQL

CI/CD

Docker/Kubernetes

Cloud platforms

REST/GraphQL

TypeScript

Education

Bachelor's/Master's in CS/Engineering

Tools

GitHub Copilot

Cursor

Claude Code

JetBrains AI Assistant

Tabnine

Job description

ANCHOR GLOBAL CONSULTING PTE. LTD. is seeking a capable Front to Back Software Engineer to design, develop, and deploy modern digital solutions. You will work across the full stack from UI to APIs, leveraging AI-assisted coding tools and integrating AI capabilities into product features.

The role emphasizes rapid delivery, scalable architecture, and collaboration with data scientists and solution architects to turn prototypes into production-ready software.