Full Stack AI Developer - Global Investment Bank - Hong Kong

NLS Executive Search; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

NLS Executive Search client seeks a seasoned Full Stack AI Developer in Hong Kong to design, build and maintain secure, scalable AI-driven applications across the full stack. You will collaborate with business, product and data teams to deliver production-ready solutions that align with regulated financial-service practices where possible.

The role emphasizes hands-on work with Microsoft Azure, Azure AI Foundry and Copilot technologies, plus integration of AI services with internal APIs and

Qualifications

• 3+ years of commercial experience in full-stack development.
• Strong experience building production-grade AI-powered applications.
• Hands-on Azure cloud and AI Foundry experience; familiarity with Copilot tools.

Responsibilities

• Design, develop and maintain end-to-end AI applications across UI, backend and cloud deployment.
• Integrate Azure services and Azure AI Foundry models, prompts and evaluation workflows.
• Develop Copilot-based solutions and Microsoft 365 integrations as applicable.
• Connect LLMs and AI services to internal APIs and data sources.
• Build secure APIs, data pipelines, and responsive UIs with modern frameworks.
• Apply prompt design, RAG, grounding and evaluation best practices.
• Implement identity, access control, data protection, logging and monitoring.
• Collaborate with Risk, Compliance and Security teams for responsible AI adoption.
• Participate in architecture decisions, code reviews, CI/CD and production support.

Skills

3+ years experience

Full Stack development

Azure cloud

Azure AI Foundry

Copilot & Copilot Studio

REST APIs

React/Angular

CI/CD

Security & governance

Communication skills

Tools

Azure DevOps

Git

Job description

Our client, a global investment bank, is actively seeking a Full Stack AI Developer to design and build secure, scalable AI-powered applications. You will work across the full development lifecycle, partnering with business stakeholders, product teams, data specialists, architects, and control functions to turn use cases into production-ready solutions.

The ideal candidate combines strong full-stack engineering skills with hands-on experience across Microsoft Azure, Azure AI Foundry, and Microsoft Copilot technologies. Experience delivering solutions in a regulated financial-services environment is highly valued, though not mandatory.

The role:

• Design, develop, and maintain end-to-end AI applications, from user interface through backend services and cloud deployment.
• Build and integrate solutions using Microsoft Azure services and Azure AI Foundry, including model, prompt, agent, and evaluation workflows.
• Develop applications and productivity solutions using Microsoft Copilot, Copilot Studio, and related Microsoft 365 integrations, as appropriate.
• Integrate large language models and AI services with internal APIs, enterprise data sources, and business workflows.
• Build secure APIs, backend services, data pipelines, and responsive user interfaces using suitable modern frameworks and languages.
• Apply best practices for prompt design, retrieval-augmented generation (RAG), grounding, tool use, and evaluation.
• Implement identity, access control, data protection, logging, and monitoring in line with the bank’s security and governance requirements.
• Work with stakeholders to assess use cases, clarify requirements, and deliver solutions that are useful, maintainable, and fit for purpose.
• Contribute to architecture decisions, code reviews, automated testing, CI/CD, and production support.
• Monitor application quality, performance, reliability, and AI output; investigate issues and improve solutions over time.
• Collaborate with Risk, Compliance, Information Security, and other control teams to support responsible AI adoption.

What you offer:

• 3+ years of relevant commercial experience
• Strong experience as a Full Stack Developer, building and supporting production applications across frontend and backend.
• Hands-on experience with Microsoft Azure and cloud-native application development.
• Practical experience with Azure AI Foundry, including building, testing, evaluating, or deploying generative AI applications.
• Experience with Microsoft Copilot technologies, such as Copilot Studio or Microsoft 365 Copilot integrations.
• Experience building and integrating REST APIs and working with databases, enterprise data sources, and authentication services.
• Familiarity with modern frontend frameworks such as React or Angular.
• Understanding of generative AI concepts, including LLMs, prompt engineering, RAG, embeddings, and model evaluation.
• Experience with Git, automated testing, CI/CD, and application monitoring.
• Strong communication and problem-solving skills, with the ability to work across technical and business teams.