Next.js, FastAPI, PostgreSQL, AI, LangChain, LangGraph, CI/CD

Department: HOT HK
Salary: 20% increment

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RECRUITER SUMMARY

HOT HK IT Infrastructure, Next.js FastAPI PostgreSQL AI LangChain LangGraph CI/CD, Negotiable Salary

30/04/2026

Candidate Background

Nationality:
Chinese
Residence:
HongKong
Education:
B.Sc. in Enterprise Information Systems
Languages:
English – Fluent Cantonese & Mandarin – Native
Experience:
5+ years of experience in the industryCurrent & Previous Employers and jobs include: Senior Software Engineer at XXXX Senior Full-Stack Developer/Full-Stack Developer/Web Developer at XXXX Software Engineer & Web Developer at XXXX
Motives:
Is just open for opportunities. Open for similar or related job roles in Hong Kong
Current Salary:
42k HKD per month
Expected Salary:
20% increment
Notice Period:
2 Weeks
Interview Availability:
Requires a day of notice

Interview Assessment Notes

1.       Could you introduce yourself and tell us about you? Your current / recent jobs and employers? Previous companies and jobs?

He is a Software Engineer with 5+ years of experience delivering scalable web applications from concept to production. Currently, he is a Senior Software Engineer at XXXX, where he serves as a primary technical strategist, enabling enterprises to transition from manual workflows to AI-agent-driven productivity. He engineered an in-house platform to manage, build, and deploy AI agents at production scale, achieving a 90% reduction in deployment time. He also built AIOps infrastructure for BEA (Bank of East Asia), developing agents that analyze client data to promote insurance schemes and financial products with surgical precision. And architected core modules serving 100+ enterprise users, owning everything from the frontend interface to the backend ML training pipelines. Before this, he was at XXXX, where he led the transition from standard web apps to “AI-Infused” systems, serving as both a technical lead and a mentor for junior engineers. He developed a specialized AI SaaS platform using LangGraph, LangChain, and LangSmith, focusing on multi-turn chatbots and marketing agents that identify corporate research trends. And delivered over 10 production projects that improved client workflow efficiency by 50% through automated content generation and data-driven decision tools. Moreover, he spearheaded the migration of CI/CD workflows across GitLab and GitHub Actions, automating deployments to AWS and Azure and cutting deployment time by 80%. And has managed end-to-end delivery across Laravel, .NET, FastAPI, and Next.js, demonstrating a rare versatility in both enterprise and startup stacks.

2.       What skill(s) / experience would you self-describe as strongest or specialist in?  

Strongest skills would be full-stack. He is expert at developing FastAPI and Node.js backends specifically designed to handle the asynchronous demands of LLMs and multi-agent systems. And also consistently achieves 95+ Lighthouse performance scores, ensuring that even data-heavy AI dashboards (built with React, Vue, or Angular) remain lightning-fast and user-friendly.

3.       Do you have the lists of key criteria’s according to the clients’ requirements?

He is a Software Engineer with 5+ years of experience delivering scalable web applications from concept to production. He has extensive experience building robust backend systems with Next.js, FastAPI, and Express, paired with PostgreSQL and PostgreSQL/pgvector equivalents. He has built and deployed AI Agent platforms at production scale using LangChain, LangGraph, and LangSmith. His work includes reducing model and agent deployment times by 90% through optimized AIOps and training pipelines. He has led digital transformation projects for major institutions like BEA, focusing on enterprise-level chatbots and marketing AI Agents. Moreover, he is expert in multi-cloud (AWS, Azure, GCP) and automated CI/CD workflows using GitHub Actions and GitLab, which cut deployment times by 80%. He led the delivery of 10+ production projects and mentored junior developers while driving architectural decisions for AI-infused systems.

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