G85 - Full Stack Engineer
FPT Asia Pacific Pte Ltd
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Resumo da vaga
FPT Asia Pacific Pte Ltd in Singapore is seeking Full Stack Engineers at Consultant and Senior Consultant levels to build enterprise AI services, including integrations with leading AI platforms. You will design, develop, and maintain secure, scalable applications in a large corporate environment.
Consultant-level engineers perform hands-on development and production support, while Senior Consultants lead complex workstreams, guide code reviews, and drive architectural decisions with senior
Qualificações
- Degree or Diploma in CS, SE, IT or equivalent.
- Hands-on full-stack development in production environments.
- Experience delivering secure, scalable applications.
- Experience with enterprise AI platforms is advantageous but not mandatory.
Responsabilidades
- Design, develop, test, deploy and maintain web apps, backend services, APIs and databases.
- Own engineering deliverables from development through production support.
- Troubleshoot issues and improve performance and reliability.
- Collaborate with product and cybersecurity teams on requirements.
Conhecimentos
Formação
Ferramentas
Descrição da vaga
We are seeking Full Stack Engineers at Consultant and Senior Consultant levels to develop and enhance enterprise AI services, including ChatGPT Enterprise, Microsoft 365 Copilot, Google Gemini Enterprise and emerging AI-enabled applications.
The successful candidates will be responsible for designing, developing, integrating and maintaining secure, scalable applications and services within a large-scale enterprise environment.
Consultant-level candidates will focus on hands‑on development, implementation, troubleshooting and production support under the guidance of an Engineering Manager or Technical Lead.
Senior Consultant-level candidates will take greater ownership of complex application development and integration workstreams, contribute to technical design decisions, review code and provide guidance to other engineers.
Prior experience with enterprise AI platforms or agentic AI is advantageous but not mandatory. Candidates with strong full‑stack development experience and a willingness to learn are encouraged to apply.
- Design, develop, test, deploy and maintain secure, scalable web applications, backend services, APIs and databases.
- Take ownership of engineering deliverables from development through deployment and production support.
- Troubleshoot application issues and improve software performance, reliability and maintainability.
- Develop and maintain APIs and enterprise connectors to integrate AI platforms with identity services, business applications, document repositories and existing systems.
- Ensure reliable communication and data exchange between applications and enterprise platforms.
- Develop automation solutions for user provisioning, licence management and operational workflows.
- Support AI-powered applications, Model Context Protocol (MCP) integrations and agentic AI workflows.
- Implement appropriate security controls, approval mechanisms and operational safeguards.
- Implement and maintain CI/CD pipelines, automated testing, application monitoring and deployment processes.
- Troubleshoot production issues, optimise application performance and improve system reliability.
- Support cloud-based application deployment and operational improvements.
- Apply secure coding practices throughout the software development lifecycle.
- Implement authentication, authorisation, access controls, data protection and audit logging.
- Support security assessments, vulnerability remediation and compliance with applicable security requirements.
- Collaborate with product managers, engineers, cybersecurity teams and business stakeholders to translate requirements into technical solutions.
- Participate in code reviews, technical documentation and engineering discussions.
- Promote software quality, maintainability and continuous improvement.
- Support the responsible use of AI-assisted development tools.
- Degree or Diploma in Computer Science, Software Engineering, Information Technology or a related discipline, or equivalent practical experience.
- Relevant hands‑on experience in full‑stack software development, including building, deploying and maintaining applications in production environments.
- Demonstrated ability to deliver working software and troubleshoot technical issues.
- Experience with enterprise AI platforms is advantageous but not mandatory.
- Strong programming skills in at least one language such as TypeScript, JavaScript, Python, Java or C#.
- Hands‑on experience with frontend frameworks such as React, Angular or Vue.js, and backend application development.
- Experience developing REST APIs and working with relational or NoSQL databases.
- Familiarity with Git, software testing, CI/CD pipelines and modern software development practices.
- Understanding of application security, authentication, authorisation and secure data handling.
- Ability to troubleshoot application issues and support software deployment and production operations.
- Experience with cloud platforms such as Microsoft Azure, AWS or Google Cloud, including containers or Infrastructure as Code.
- Experience integrating enterprise applications, Microsoft Graph APIs, Microsoft Entra ID or workflow automation systems.
- Exposure to generative AI, Large Language Model (LLM) APIs, tool calling, AI agents, Retrieval-Augmented Generation (RAG) or Model Context Protocol (MCP).
- Experience using AI-assisted development tools such as GitHub Copilot, Claude Code, OpenAI Codex or Cursor.
- Familiarity with application monitoring, observability and performance optimisation.
- Experience developing applications in enterprise, regulated or public-sector environments.
- Strong analytical, troubleshooting and problem‑solving skills.
- Ability to take ownership of engineering deliverables from development through production support.
- Good written and verbal communication skills, with the ability to explain technical solutions to different stakeholders.
- Ability to work independently and collaborate effectively with multidisciplinary teams.
- Adaptability, willingness to learn and interest in emerging AI technologies.
- Commitment to software quality, security, reliability and continuous improvement.
- Take ownership of complex application development and enterprise integration workstreams.
- Contribute to technical design decisions and solution implementation.
- Lead the delivery of end-to-end technical solutions.
- Review code and provide technical guidance to other engineers.
- Resolve complex technical issues and support production stability.
- Collaborate with stakeholders to translate business and technical requirements into reliable solutions.
- Drive engineering best practices and continuous improvement initiatives.
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