Senior Full Stack AI Software Engineer (Cybersecurity & AI SaaS)

About Momentum Z

We’re not your typical “suite-and tie” cybersecurity firm.

Established in 2020, Momentum Z is a Singapore-based, award-winning cybersecurity consultancy with deep roots in defence and a passion for making the digital world safer.

We help organisations navigate the increasingly complex world of cybersecurity, risk management and data privacy — turning complex requirements into practical solutions that businesses can actually use.

Think of us as digital bodyguards for businesses — helping our clients understand their risks, protect what matters and stay ahead in a rapidly changing digital landscape.

We’re a growing team that values curiosity, initiative and getting things done. We’re not big on unnecessary hierarchy or rigid corporate processes. If you see a better way to do something, we want you to speak up, try it and make it happen.

About the Role

You will be part of an exciting team that involve in thedesign, development, security, and continuous improvement of our AI platform.

You will build secure enterprise-grade software thatcombines:

• AI
• Cybersecurity
• Cloud
• UX
• Data Engineering
• Automation

You will work directly with the product owner to shape the future of the platform.

What You'll Do

• Full Stack Development
• Design and build scalable web applications
• Develop reusable frontend components.
• Develop secure backend APIs.
• Build responsive UI suitable for SME users.
• Improve application performance.
• Refactor legacy code.
• Implement enterprise architecture.
  
  AI Engineering

• Design AI workflows.
• Integrate OpenAI, Claude, Azure OpenAI and future LLMs.
• Implement Retrieval Augmented Generation (RAG).
• Reduce LLM token consumption.
• Improve AI response quality.
• Implement prompt engineering.
• Develop AI agents.
• Build AI evaluation and testing frameworks.
• Detect and minimize hallucinations.
• Create AI guardrails.
  
  Cybersecurity Engineering
  
• Implement secure coding practices.
• Perform code security reviews.
• Implement authentication and authorization.
• Strengthen API security.
• Implement audit logging.
• Implement secure login.
• Secure file uploads.
• Conduct threat modelling.
• Perform vulnerability remediation.
• Design secure multi-tenant architecture.
  
  Cloud & DevOps
  
• Deploy production workloads.
• Manage Azure cloud services.
• Implement CI/CD pipelines.
• Manage Docker containers.
• Monitor system performance.
• Improve scalability.
• Reduce infrastructure costs.
• Implement automated testing.
  
  Product Engineering
  
• Collaborate with UX designers.
• Design workflows for SME users.
• Build intuitive interfaces.
• Conduct usability improvements.
• Reduce user complexity.
• Translate business requirements into production-ready features.
  
  AI Cost Optimisation
  
• Monitor LLM usage.
• Reduce unnecessary AI calls.
• Implement caching.
• Build AI usage dashboards.
• Implement cost accounting by organisation.
• Design AI rate limiting.
• Monitor token consumption
  
  Software Quality
  
• Write automated tests.
• Perform regression testing.
• Conduct code reviews.
• Improve maintainability.
• Document software architecture.
• Maintain coding standards.

Required Technical Skills

Frontend

• React
• JavaScript / TypeScript
• HTML5
• CSS3
• Tailwind CSS
• Responsive Design
• Component Libraries
  Backend
• Node.js
• Express
• REST APIs
• Authentication
• Role Based Access Control
• Multi-tenancy
  Database
• PostgreSQL
• SQL
• Database Optimisation
• Query Performance
  AI
• Experience with one or more:
• OpenAI
• Anthropic Claude
• Azure AI
• LangChain
• Vector Databases
• Pinecone
• Embeddings
• Prompt Engineering
• AI Agents
  Cloud
  Experience with:
• Azure
• Azure Functions
• Azure Storage
• Azure SQL
• Azure App Services
  Experience with AWS is advantageous.
  
• DevOps
• Git
• GitHub
• Docker
• CI/CD
• Monitoring
• Logging
  
  Security Knowledge
  Understanding of:
• OWASP Top 10
• Secure Coding
• Authentication
• Encryption
• API Security
• Secrets Management
• Multi-factor Authentication
• Vulnerability Management
  
  Preferred Experience
  Experience building one or more:
• AI SaaS Platforms
• GRC Applications
• Cybersecurity Platforms
• Endpoint Monitoring
• Compliance Software
• Document Management Systems
• Enterprise Dashboards
• AI Copilots
  Experience working in regulated industries is highly desirable.

We are looking for someone who:

• Thinks like an engineer, not just a programmer.
• Challenges existing designs with better solutions.
• Prioritizes security by design.
• Writes clean, maintainable code.
• Enjoys solving complex technical problems.
• Understands AI beyond simply calling APIs.
• Can balance user experience with enterprise security.
• Is passionate about continuous learning.
• Works independently while collaborating effectively.
  
  Nice to Have
• Cybersecurity certifications
• AI certifications
• Azure certifications
• Experience with ISO 27001
• Experience with PDPA or GDPR
• Experience with SOC 2
• Experience with penetration testing
• Experience with endpoint security
• Experience building browser or desktop agents
  

You'll Thrive at Momentum Z If...

You will help build an AI-first cybersecurity platform that protects SME across Asia.
This role provides the opportunity to work on:

• Artificial Intelligence

• Enterprise Security

• Cybersecurity

• Privacy Compliance

• Cloud Engineering

• Product Design

• AI Agents

• Large Language Models

You'll work directly with experienced cybersecurity leadersand have the opportunity to influence both product strategy and technicalarchitecture.

If you enjoy solving meaningful technical challenges while building secure AI products that make compliance easier for organizations, we'd love to hear from you.