AI Engineer
Summary
Contract AI Engineer in Kowloon: build and deploy AI agents and enterprise AI platform components using Python, LangChain/LangGraph, MongoDB and REST APIs, with Azure/AWS cloud and OpenShift/CI/CD deployment. Posted by recruiter KOS International on behalf of an unnamed client; benefits include medical and annual leave.
Salary: Medical, Annual Leaves.
Key Highlights
- AI Agent Development with Python, LangChain & LangGraph
- Azure AI, AWS AI Services, OpenShift & CI/CD Deployment
- Enterprise AI Solutions, API Integration & Rapid Prototyping
Overview
Our client is seeking an AI Engineer to support the development and deployment of innovative AI-driven solutions. This role will focus on building AI agents, integrating enterprise systems, developing platform components, and delivering proof-of-technology projects using modern AI frameworks and cloud technologies.Key Responsibilities
- Develop and maintain AI agents and orchestration workflows using Python, LangChain, LangGraph, and related AI frameworks.
- Build and enhance shared AI platform components, including retrieval systems, connectors, evaluation tools, and reusable services.
- Design and implement API integrations and database connectivity to support AI applications and enterprise data access.
- Contribute to proof-of-technology initiatives, validating technical feasibility, integrations, and operational requirements.
- Deploy, test, troubleshoot, and document AI solutions using OpenShift and CI/CD pipelines while supporting operational readiness.
Requirements
- Degree in Computer Science, Information Technology, Engineering, or a related discipline.
- Hands-on experience in Python development for AI applications and system integration projects.
- Practical knowledge of LangChain, LangGraph, AI agents, and modern AI development frameworks.
- Experience with MongoDB, API integration, RESTful services, cloud platforms (Azure and/or AWS), and deployment pipelines.
- Strong problem-solving, debugging, communication, and documentation skills in a project delivery environment.