AI-Powered Full-Stack Engineer

Jobster Private Ltd; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Jobster Private Ltd in Singapore seeks an experienced Full-Stack Engineer to build AI-powered web apps and services. You will integrate LLM APIs, MCP servers, and data tools to deliver scalable solutions with secure access and high performance.

You'll work in an agile environment with DevOps and QA teams to implement CI/CD, monitor latency, and optimise architectures while exploring emerging AI technologies.

Qualifications

• Degree or Diploma in Computer Science, Computer Engineering or IT.
• Minimum 3 years in software development with frontend and backend delivery.
• Experience with React/Next.js and Python(FastAPI) or Node.js.
• Strong API design using REST/GraphQL/gRPC and WebSocket where needed.
• Cloud and containerised deployments with AWS, Docker and Kubernetes.

Responsibilities

• Develop, deploy and maintain AI-enabled web apps and APIs on cloud infrastructure.
• Build AI-powered apps including chatbots with session/ context management.
• Integrate MCP servers/clients for data access and tool integration.
• Implement authentication, authorization and data protection controls.
• Write automated tests and support CI/CD pipelines with DevOps/QA.
• Monitor performance, latency and costs; document systems and enable improvements.

Skills

LLM APIs integration

MCP server/client experience

RAG pipelines

OpenAI Bedrock / AI frameworks

React/Next.js

Python (FastAPI) / Node.js

REST/GraphQL/gRPC

AWS & Docker

Kubernetes & Terraform

CI/CD (GitHub Actions/GitLab)

Education

Degree or Diploma in Computer Science/Engineering or IT

Tools

Docker

Kubernetes

Terraform

AWS

GitHub Actions

GitLab CI

React

Next.js

Python

FastAPI

OpenAI SDKs

Job description

Jobster Private Ltd in Singapore seeks an experienced Full-Stack Engineer to build AI-powered web apps and services. You will integrate LLM APIs, MCP servers, and data tools to deliver scalable solutions with secure access and high performance.

You'll work in an agile environment with DevOps and QA teams to implement CI/CD, monitor latency, and optimise architectures while exploring emerging AI technologies.