Full-Stack Software Engineer, AI Applications

Hong Kong
Permanent
Full-time

9 days ago

Join a leading enterprise operating in a highly regulated environment to build and ship AI-powered web applications. You’ll partner with data scientists and AI engineers to integrate generative AI models into production services, ensuring compliance, scalability, and reliability.Key Responsibilities

Collaborate with data science and AI engineering teams to design, implement, and deploy AI and Generative-AI features (Retrieval-Augmented Generation, large language models) within web applications.
Develop and maintain full-stack components: user interfaces, back-end services, and data access layers.
Architect and implement microservices for model inference, feature stores, and real-time data pipelines.
Build, optimize, and document GitLab CI or Jenkins pipelines for automated testing, container builds, and environment promotions.
Establish and enforce QA/testing processes using frameworks such as Cypress, Selenium, or Playwright, and manage test cases in TestRail, Zephyr, or similar.
Ensure solutions meet security, compliance, and audit requirements in a regulated setting.
Monitor application performance, troubleshoot issues, and drive continuous improvements.

Required Qualifications

Minimum of 4 years of professional experience in full-stack web development.
Proficiency in JavaScript/TypeScript and one of the following front-end frameworks: React, Angular, or Next.js.
Strong back-end skills using Node.js, with experience building RESTful or GraphQL APIs.
Hands-on experience with PostgreSQL or equivalent relational databases, including schema design and performance tuning.
Proven track record of designing and maintaining CI/CD pipelines in GitLab CI or Jenkins.
Experience with automated testing frameworks and test management tools.
Familiarity with cloud platforms (AWS, Azure, or GCP) and container orchestration via Kubernetes.
Excellent communication skills and ability to thrive in cross-functional, regulated teams.

Preferred Qualifications

Experience integrating AI/ML frameworks such as TensorFlow, PyTorch, or LangChain into microservices.
Background working within financial services, healthcare, or similarly regulated industries.
Knowledge of feature engineering, data versioning, and model governance best practices.
Exposure to serverless architectures or edge deployments for AI inference.

Technologies & Tools

Front-End: JavaScript, TypeScript, React, Angular, Next.js
Back-End: Node.js, Express, NestJS
Database: PostgreSQL
CI/CD: GitLab CI, Jenkins
Testing: Cypress, Selenium, Playwright; TestRail, Zephyr
Cloud & Infrastructure: AWS, Azure, GCP; Docker, Kubernetes
AI/ML Integration: TensorFlow, PyTorch, LangChain

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