Senior Full Stack Software Engineer (AI)

Location: Hong Kong; hybrid work

Company

hirify.global operates AI-powered personal finance aggregation and comparison platforms across Singapore, Hong Kong, Taiwan, and the Philippines, covering banking, insurance, rewards, and loyalty products.

What you will do

• Own production features across React frontends, backend microservices, APIs, partner integrations, event-driven processing, and data models from scoping through operation.
• Build AI-powered financial product discovery features, including conversational assistants and personalised recommendations that are accurate, explainable, and safe.
• Develop insurance quote, comparison, purchase, and policy-management journeys with insurer integrations.
• Evolve rewards, membership, and loyalty systems across four markets, including eligibility tracking, claims validation, reconciliation, fraud controls, and audit trails.
• Write specifications, direct AI coding tools, review and correct generated output, and improve standards, tests, CI gates, templates, and internal tooling.
• Contribute to architecture and design reviews, mentor engineers, maintain AWS services and CI/CD pipelines, and handle monitoring, incidents, security, and root-cause fixes.

Requirements

• 8+ years of software engineering experience building secure, scalable, high-performance applications; financial services experience is preferred.
• Direct experience working with business stakeholders, gathering requirements, agreeing scope and trade-offs, communicating progress and risks, and owning outcomes through production.
• Strong architecture skills in microservice boundaries, event-driven systems, API contracts, and data modelling for high-load systems, with the ability to lead design reviews.
• Solid hands-on React experience and at least one of Node.js with TypeScript, C# with .NET, or Java; willingness and ability to become productive in another backend language.
• Regular production use of AI coding tools, including writing specifications and prompts and critically reviewing AI output for correctness, security, and edge cases.
• Experience with test strategy and automation, CI/CD, static analysis, observability, technical specifications, and design documents.
• Experience with microservices, APIs, third-party integrations, message queues, relational and document data models, AWS, containers, and secure coding for regulated financial environments.
• Excellent written and spoken English, including the ability to explain technical trade-offs and write clear specifications.

Nice to have

• Experience building team-level tooling for AI agents, including rules, skills, MCP servers, or evaluation systems.
• Experience building product features on large language models, including prompt design, evaluation, and guardrails.
• Professional experience in banking, insurance, trading, or fintech.
• Cantonese or Mandarin.

Culture & Benefits

• Hybrid work in Hong Kong within an engineering organisation supporting four markets.
• Work on financial products serving millions of monthly users and focused on improving financial decision-making.
• AI-first delivery supported by written specifications, codified standards, automated testing, security scanning, human review, monitoring, and incident feedback.
• Inclusive and diverse working environment with equal-opportunity hiring.

Hiring process

• No take-home task; the technical interview is a live, AI-assisted session using an AI coding tool.
• Demonstrate how you direct and review AI output, write specifications, reject incorrect solutions, and explain technical decisions.