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Open nowFirst seen 4 days ago

M74 - Full Stack Engineer

FPT Asia Pacific Pte Ltd266 open roles

Where
Singapore
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Your applicationOpen nowM74 - Full Stack EngineerFPT Asia Pacific Pte Ltd · Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on FPT Asia Pacific Pte Ltd's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. FPT Asia Pacific Pte Ltd postings stay open a median of 5 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.6%30 days
  6. 59.1%60 days
This job: first seen 4 days ago

FPT Asia Pacific Pte Ltd median: 5 days open

The posting

About the Role

We are seeking a skilled Full-Stack Engineer to design, develop and maintain scalable AI-powered digital applications and services. The role focuses on building AI-enabled solutions, including chatbots, AI agents, Model Context Protocol (MCP) integrations and data-driven applications.

The successful candidate will work closely with cross-functional teams and stakeholders to deliver secure, high-performance applications and support the integration of emerging AI technologies.

Key Responsibilities

  • Design, develop, deploy and maintain scalable, secure and high-performance full-stack web applications, including frontend interfaces, backend services and APIs.
  • Build AI-powered applications and chatbots with session management, contextual understanding, streaming responses and error handling.
  • Develop and integrate MCP servers and clients to enable secure access to data, tools and internal or external services.
  • Integrate Large Language Models (LLMs), AI agents and Retrieval-Augmented Generation (RAG) solutions into applications.
  • Implement security controls, including authentication, authorisation, access management, data protection and AI security safeguards.
  • Develop automated tests and evaluations to ensure application reliability, AI response quality and system interoperability.
  • Collaborate with DevOps and QA teams to implement CI/CD pipelines, automate deployments and monitor application performance.
  • Optimise application performance, AI response quality, latency and resource utilisation.
  • Maintain technical documentation and evaluate emerging technologies to support continuous improvement.

Requirements

Education & Experience

  • Diploma or Degree in Computer Science, Computer Engineering, Information Technology or a related discipline.
  • Minimum 3 years of relevant experience in software development or a related IT field.
  • Strong problem-solving, communication and stakeholder collaboration skills.

Full-Stack Development

  • Proficiency in JavaScript/TypeScript, with experience in React or Next.js.
  • Experience in backend development using Python (FastAPI) or Node.js.
  • Experience designing and integrating REST, GraphQL or gRPC APIs, including WebSockets for real-time communication.
  • Hands-on experience with AWS cloud services, Docker and containerised application deployments.
  • Familiarity with Kubernetes and Infrastructure as Code tools such as Terraform or AWS CloudFormation.
  • Experience with CI/CD pipelines using GitHub Actions or GitLab CI, along with automated unit, integration and end-to-end testing.
  • Understanding of application monitoring, logging, tracing, caching, load balancing, rate limiting and performance optimisation.

AI & MCP Technologies

  • Hands-on experience integrating LLM APIs or SDKs such as Amazon Bedrock, OpenAI, Anthropic or equivalent platforms.
  • Experience with prompt management, structured outputs and tool/function calling.
  • Hands-on experience developing MCP servers and integrating MCP clients, including tool definitions, access controls and schema validation.
  • Experience implementing RAG pipelines, including data ingestion, embeddings, semantic or hybrid search and vector databases.
  • Understanding of AI application testing, response evaluation, monitoring and performance optimisation.

Security

  • Knowledge of web application and cloud security best practices, including OAuth 2.0, OpenID Connect, JWT, IAM, encryption and secrets management.
  • Familiarity with OWASP guidelines, Content Security Policy (CSP), CORS configuration and XSS prevention.
  • Understanding of AI security risks, including prompt injection, sensitive-data leakage and unauthorised tool execution.

Good to Have

  • Experience developing and deploying AI agents using OpenAI Agents SDK, LangGraph or Amazon Bedrock AgentCore.
  • Experience with AI workflow orchestration, tool integration, context and memory management.
  • Experience delivering production-scale conversational AI applications.
  • Familiarity with web analytics tools such as WOGAA or Google Analytics.
  • Knowledge of Singapore Government IM8 security and data protection requirements.
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