System Analyst, AI Transformation + Fullstack

HKT

Hong Kong Island

On-site

HKD 180,000 - 280,000

Full time

3 days ago
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Job summary

HKT is seeking a System Analyst for AI Transformation and Fullstack, focusing on AI-enabled platform development across multiple domains. You will oversee secure, scalable implementations using Python, NodeJS and React, and lead offshore teams to deliver high-performance solutions.

You will apply prompt engineering, AI-safe practices, and agile methodologies to align with business goals while maintaining compliance and robust security.

Qualifications

  • 3+ years of hands-on experience in system design and architecture with AI integration.
  • Experience building AI-driven applications and scalable platforms.
  • Proficiency in Python, NodeJS and React; knowledge of Java Spring Boot/Spring Cloud is a plus.
  • Familiarity with AI tools/frameworks such as MCP and safety frameworks.

Responsibilities

  • Lead offshore development teams (2-3 per team) for AI-enabled software delivery.
  • Define AI strategies with stakeholders and implement prompt engineering best practices.
  • Promote vibe coding and Agile methods for AI projects.
  • Mentor teams on new AI technologies and secure development practices.
  • Ensure security is integrated throughout the SDLC and conduct risk assessments.

Skills

AI integration
System design
Python
NodeJS
React
Agile

Education

Tools

Model Context Protocol
Agentic Frameworks
RooCode
Cursor
GitHub Copilot

Job description

System Analyst, AI Transformation + Fullstack

Design and implement multiple sub-systems for an in-house developed AI-integrated platform across various business domains.

Oversee the development of secure, scalable, and AI-enhanced solutions using Python, NodeJS and React.

Leverage prompt engineering and vibe coding for innovative development practices.

Manage cross-functional teams and offshore team to deliver cutting-edge, AI-driven solutions while aligning with business goals and compliance standards.

Implement secure SDLC practices with AI, including threat modelling, secure coding, and vulnerability management, to ensure system integrity.

Conduct risk assessments for software projects and develop strategies to mitigate identified risks.

Your Role

Lead and work with offshore development team (2-3 per team) in developing and deploying AI-enhanced software solutions, ensuring high performance, reliability, and security.

Collaborate with stakeholders to define AI strategies and implement prompt engineering best practices for optimizing AI model outputs.

Foster a culture of innovation through vibe coding and other AI-assisted development methodologies.

Mentor and guide teams in adopting new AI technologies and secure development practices, ensuring alignment with organizational objectives.

Drive the adoption of Agile methodologies for AI-focused projects, ensuring iterative delivery and continuous improvement.

Ensure security is integrated throughout the SDLC, from requirements gathering to deployment and maintenance.

Perform risk assessments for software projects, identifying potential threats and implementing mitigation strategies.

Take an active, hands-on role in project delivery, balancing strategic oversight with technical contributions to overcome challenges and meet deadlines.

To Succeed in this Role

3+ years of hands-on experience in system design and architecture, with a focus on AI integration and agentic solutions. Candidates with more experiences will be considered as Senior System Analyst

Proficiency in Python, NodeJS and React, with experience in building AI-driven applications, knowledge of Java Spring Boot, and Spring Cloud will also be considered

Expertise in prompt engineering to optimize AI model performance and ensure accurate, contextually relevant outputs.

Familiarity with AI tools and frameworks, such as Model Context Protocol (MCP), Agentic Frameworks, AI Safety Framework, to ensure responsible AI deployment would be an advantage.

Experience with vibe coding practices in both frontend and backend knowledge, utilizing AI assistants (e.g., RooCode, Cline, Cursor, WindSurf, GitHub Copilot) for rapid prototyping and development on full SDLC.

Strong understanding of cloud platforms (AWS, Azure, GCP) for scalable solution deployment.

Deep knowledge and hands-on SDLC processes, with a particular emphasis on integrating security throughout the lifecycle (DevSecOps).

Proven experience in conducting risk assessments for software projects and implementing risk mitigation strategies.

Knowledge of security standards and best practices, such as OWASP, ISO 27001, or ISO 42001, and experience applying them in software development.

Strong communication skills to articulate technical concepts, AI strategies, and security requirements to both technical and non-technical stakeholders.

Passionate about leveraging AI to optimize operations and drive innovation across inhouse development platforms.

Strong communication skills to convey AI strategies, technical designs, and business value effectively.

Committed to staying updated on AI advancements, including Model Context Protocol, Agentic Frameworks, safety frameworks, prompt engineering, and AI-assisted coding trends.

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