Full-Stack Engineer - #1777

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

The Full-Stack Engineer will play a key role in developing and delivering innovative AI-powered digital services that transform how users discover, access and interact with data. The role encompasses end-to-end development of public-facing applications such as AI chatbots, AI agents, Model Context Protocol (MCP) integrations and other AI-enabled data dissemination solutions. Working in an agile and collaborative environment, the engineer will engage internal stakeholders, cross-functional teams and other technical teams to ensure seamless system integration and the successful delivery of AI initiatives.

• Develop, deploy and maintain scalable, secure and high-performance AI-enabled web applications, including frontend interfaces, backend services and APIs hosted on cloud infrastructure.

• Develop AI-powered applications, including chatbots with session and context management, streaming responses and robust error handling.

• Develop and integrate MCP servers and clients to enable AI agents and applications to access approved data, tools and internal or external services securely.

• Implement application and AI security controls, including authentication, authorisation, access management, data protection and safeguards against AI-related vulnerabilities.

• Develop automated tests and evaluations for application functionality, AI chatbot responses, MCP integrations and interoperability to support reliability and quality.

• Collaborate with DevOps and quality assurance (QA) teams to implement CI/CD pipelines, automate deployments and monitor application performance and availability.

• Monitor and optimise application performance, AI response quality, latency, resource utilisation, while maintaining technical documentation and evaluating emerging technologies where appropriate.

EXPERIENCE AND SKILLS NEEDED

AI Technologies

• Hands-on experience with integrating large language model (LLM) APIs or SDKs (e.g. Amazon Bedrock, OpenAI, Anthropic or equivalent), including prompt management, structured outputs and tool/function calling.

• Hands-on experience with developing MCP servers and integrating MCP clients using relevant SDKs, including tool definitions, resources (where applicable), access controls and schema validation.

• Experience with RAG pipelines, including data ingestion, embeddings, semantic or hybrid retrieval, vector stores where appropriate.

• Added advantage if possess hands-on experience with developing and deploying AI agents using development frameworks (e.g. OpenAI Agents SDK or LangGraph) or managed platforms (e.g. Amazon Bedrock AgentCore), including workflow orchestration, tool integration, context and memory management, testing and monitoring.

Full-Stack Development

• Knowledge of computer science and software engineering principles, supported by a Degree or Diploma in Computer Science, Computer Engineering, Information Technology or related disciplines.

• At least 3 years of relevant working experience in software development or a related IT field, with good written and verbal communication skills and the ability to collaborate effectively with technical teams and stakeholders.Experience with frontend and backend development using technologies such as JavaScript/TypeScript (React or Next.js) and Python (FastAPI) or Node.js, including responsive web applications and API integration; hands-on experience delivering production-scale conversational interfaces is an added advantage.

• Experience with designing and integrating APIs using REST, GraphQL or gRPC, and real-time communication using WebSockets where required.

• Hands-on experience with AWS cloud services and containerised deployments (e.g. Docker), with knowledge of orchestration (e.g. Kubernetes) and Infrastructure as Code (e.g. Terraform or AWS CloudFormation).

• Experience with CI/CD pipelines (e.g. GitHub Actions or GitLab CI) and automated unit, integration and end-to-end testing for applications, APIs and AI/MCP workflows.

• Knowledge of application monitoring, logging and tracing, including AI service latency, API usage, tool-call failures and operational costs.

• Knowledge of backend scalability techniques, including caching, rate limiting, load balancing, autoscaling and performance optimisation.

• Added advantage if familiar with web analytics tools such as Whole-of-Government Application Analytics (WOGAA) or Google Analytics (GA) for monitoring traffic, user behaviour, and application usage to support performance analysis and continuous improvement.

Security Best Practices

• Knowledge of web application and cloud security, including Content Security Policy (CSP), secure CORS configuration, XSS prevention, OAuth 2.0/OpenID Connect, JWT validation, IAM, secrets management, encryption and relevant OWASP guidance.

• Understanding of AI and MCP security risks, including prompt injection, sensitive-data leakage and unauthorised tool execution, and appropriate mitigations such as least-privilege access controls and input/output validation.

• Added advantage if possess knowledge of the Singapore Government Instruction Manual on Infocom Technology and Smart Systems (ICT&SS) Management (IM8), including relevant security and data protection requirements.