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(Senior) Software Engineer at nahc.io in 香港 Hong Kong | Swiftcruit
Our client is an AI-enabled corporate services platform is seeking a experienced engineer to lead software development across its HK and global footprints. Backed by an established institutional ecosystem, the firm is modernizing the corporate governance sector with an AI-native operational platform and automated partner portals. You will own end-to-end architecture, product delivery, and technical strategy while collaborating directly with compliance and operations teams.
What You Will Do
Own the full product direction, including internal compliance and workflow engines, entity management consoles, and external client portals.
Drive hands-on technical execution across architecture, full-stack delivery, system reliability, and roadmap prioritization.
Partner directly with founders, compliance officers, and operational staff to convert complex regulatory workflows into scalable software solutions.
Direct production LLM integrations, agentic task orchestration, structured data extraction, and human-in-the-loop verification systems.
Maintain high technical standards across type safety, automated testing, CI/CD pipelines, observability, and overall system maintainability.
Lead and build out the engineering team as the company scales its core technical capabilities and market footprint.
What You Will Bring
5+ years of full-stack software engineering experience, including prior leadership exposure
Demonstrated success as a founding or early-stage startup engineer owning production systems end-to-end prior to structured team processes.
Hands-on experience deploying production-grade AI solutions, LLM orchestration, structured output generation, and agentic workflows.
Deep proficiency with modern web stacks, specifically TypeScript, Node.js, Next.js is preferred
Strong relational database design skills (e.g., PostgreSQL, data modeling, role-based security policies, and operational data integrity).
Ability to translate complex regulatory requirements into clear software architectures and pragmatic technical trade-offs.
