Full Stack Engineer (Gen AI) -
Posted
Summary
Senior/Lead full-stack engineer designing and deploying applications with embedded Generative AI for Singapore government digital platforms, working across React/TypeScript frontends, NodeJS/Python backends, and secure REST APIs under public-sector compliance.
Full Stack Engineer (Gen AI) - Senior / Lead
/ ABOUT THE ROLE
Responsible for designing, developing, and deploying full‑stack applications that integrate
Generative AI capabilities . The Full Stack Engineer will work across frontend, backend, and API layers, supporting government digital platforms and services. The role interacts with product owners, UX designers, data scientists, and infrastructure teams, ensuring secure, scalable, and user‑centric solutions. The overall purpose is to accelerate digital transformation by embedding GenAI into citizen‑facing and internal government applications. / KEY RESPONSIBILITIES Design and develop full‑stack applications
using NodeJS, Python, React, JavaScript/TypeScript.
Integrate Generative AI models and APIs
into government platforms to enhance functionality and user experience.
Build and maintain RESTful APIs
for secure and scalable data exchange.
Collaborate with cross‑functional teams
(UX, product, data science, DevOps) to deliver end‑to‑end solutions.
Implement secure coding practices
aligned with public‑sector compliance requirements.
Conduct unit, integration, and UAT testing
to ensure reliability and performance.
Support deployment and CI/CD pipelines
in collaboration with DevOps engineers.
Troubleshoot and resolve production issues
across frontend, backend, and AI integration layers.
Document technical designs, APIs, and workflows
for knowledge sharing and audit readiness.
Champion continuous improvement
by exploring new GenAI frameworks, libraries, and tools.
/ MUST-HAVE REQUIREMENTS Technical Hands‑on experience with
NodeJS, Python, React, JavaScript/TypeScript .
Strong knowledge of
API development and integration .
Practical experience embedding
Generative AI models/APIs
into applications.
Experience in
full‑stack application development .
Understanding of
secure software delivery
in regulated environments.
Minimum 5 years in software engineering, with at least 2 years in full‑stack roles.
Proven track record delivering
production‑ready applications .
Degree/Diploma in Computer Science, Information Systems, or related discipline.
Government / Public Sector technology delivery.
Citizen services, e‑government platforms, or compliance‑driven environments.
AI/ML application development in enterprise or public‑sector contexts.
/ GOOD-TO-HAVE REQUIREMENTS Experience in
Singapore Government / Public Sector projects .
Familiarity with
SHIP‑HATS
or similar compliance frameworks.
Exposure to
cloud platforms
(AWS, Azure, GCP).
Knowledge of
AI/ML frameworks
(TensorFlow, PyTorch, Hugging Face).
Agile/Scrum delivery experience.
Relevant certifications (e.g. AWS Certified Developer, TensorFlow Developer).
/ TECHNICAL SKILLS Frontend:
React, JavaScript, TypeScript.
Backend:
NodeJS, Python.
APIs:
RESTful APIs, JSON, OAuth.
GenAI:
Hugging Face, OpenAI APIs, LangChain (preferred).
Cloud:
AWS, Azure, GCP (advantageous).
DevOps:
CI/CD pipelines, GitLab CI, Jenkins (preferred).
Testing:
Unit testing, Integration testing, UAT.
Security:
Secure coding practices, vulnerability scanning.
Generative AI capabilities . The Full Stack Engineer will work across frontend, backend, and API layers, supporting government digital platforms and services. The role interacts with product owners, UX designers, data scientists, and infrastructure teams, ensuring secure, scalable, and user‑centric solutions. The overall purpose is to accelerate digital transformation by embedding GenAI into citizen‑facing and internal government applications. / KEY RESPONSIBILITIES Design and develop full‑stack applications
using NodeJS, Python, React, JavaScript/TypeScript.
Integrate Generative AI models and APIs
into government platforms to enhance functionality and user experience.
Build and maintain RESTful APIs
for secure and scalable data exchange.
Collaborate with cross‑functional teams
(UX, product, data science, DevOps) to deliver end‑to‑end solutions.
Implement secure coding practices
aligned with public‑sector compliance requirements.
Conduct unit, integration, and UAT testing
to ensure reliability and performance.
Support deployment and CI/CD pipelines
in collaboration with DevOps engineers.
Troubleshoot and resolve production issues
across frontend, backend, and AI integration layers.
Document technical designs, APIs, and workflows
for knowledge sharing and audit readiness.
Champion continuous improvement
by exploring new GenAI frameworks, libraries, and tools.
/ MUST-HAVE REQUIREMENTS Technical Hands‑on experience with
NodeJS, Python, React, JavaScript/TypeScript .
Strong knowledge of
API development and integration .
Practical experience embedding
Generative AI models/APIs
into applications.
Experience in
full‑stack application development .
Understanding of
secure software delivery
in regulated environments.
Minimum 5 years in software engineering, with at least 2 years in full‑stack roles.
Proven track record delivering
production‑ready applications .
Degree/Diploma in Computer Science, Information Systems, or related discipline.
Government / Public Sector technology delivery.
Citizen services, e‑government platforms, or compliance‑driven environments.
AI/ML application development in enterprise or public‑sector contexts.
/ GOOD-TO-HAVE REQUIREMENTS Experience in
Singapore Government / Public Sector projects .
Familiarity with
SHIP‑HATS
or similar compliance frameworks.
Exposure to
cloud platforms
(AWS, Azure, GCP).
Knowledge of
AI/ML frameworks
(TensorFlow, PyTorch, Hugging Face).
Agile/Scrum delivery experience.
Relevant certifications (e.g. AWS Certified Developer, TensorFlow Developer).
/ TECHNICAL SKILLS Frontend:
React, JavaScript, TypeScript.
Backend:
NodeJS, Python.
APIs:
RESTful APIs, JSON, OAuth.
GenAI:
Hugging Face, OpenAI APIs, LangChain (preferred).
Cloud:
AWS, Azure, GCP (advantageous).
DevOps:
CI/CD pipelines, GitLab CI, Jenkins (preferred).
Testing:
Unit testing, Integration testing, UAT.
Security:
Secure coding practices, vulnerability scanning.