AI Engineer

KOS International Holdings; Hong Kong; On-site; HKD 864,000 - 1,056,000; Full time

Job summary

KOS International Holdings is seeking an AI Engineer in Hong Kong to develop and maintain AI agents and orchestration flows using LangChain, LangGraph, and DeepAgent. You will integrate data with MongoDB, build platform components, and deploy on OpenShift with CI/CD pipelines.

You will work with Azure and AWS AI services as primary stacks, with Google Cloud as an optional advantage. Strong Python skills and API integration experience are required.

Qualifications

• Degree in computer science, engineering, information systems, or a related discipline.
• Proficiency in Python for application and AI service development.
• Practical experience with LangChain and LangGraph; DeepAgent is an advantage.
• Working knowledge of MongoDB and writing data queries.
• Experience integrating systems via APIs (REST or equivalent).
• Experience deploying apps with CI/CD or similar pipelines.
• Hands-on use of Azure and AWS AI services; Google Cloud is an advantage.

Responsibilities

• Develop and maintain AI agents/applications and orchestration flows in Python using LangChain, LangGraph and DeepAgent.
• Build and extend platform components that support agent delivery, including shared tools, retrieval paths, connectors and evaluation hooks.
• Contribute to PoT work to test feasibility, integration and operating constraints.
• Implement data queries and API integrations so agents and platform services can use existing systems and data stores, including MongoDB.
• Package and deploy services on OpenShift and through standard deployment pipelines.
• Use Azure and AWS AI stacks as primary model and platform services; Google Cloud may be used where present.
• Debug, test and document implementations for handover to Delivery Lead and IT teams.

Skills

Python

LangChain

LangGraph

DeepAgent

APIs

CI/CD

MongoDB

OpenShift

Azure AI

AWS AI

Education

Bachelor's degree in Computer Science or related field

Tools

MongoDB

OpenShift

Azure AI

AWS AI

Google Cloud

LangChain

LangGraph

DeepAgent

CI/CD

Job description

TBD-788

Top

Aviation

U2XRJ2

AI Engineer

40,000

2

• Python Development, LangChain, LangGraph & AI Agent Engineering
• API Integration, MongoDB & Data Access Layer Development
• Azure AI, AWS AI Services, OpenShift & CI/CD Deployment
• AI Solution Development, Rapid Prototyping & System Integration

Responsibilities

• Develop and maintain AI agents/application and orchestration flows in Python using LangChain, LangGraph and DeepAgent, under the direction of the Delivery Lead and Forward Deployed Engineer.
• Build and extend platform components that support agent delivery, including shared tools, retrieval paths, connectors and evaluation hooks.
• Contribute to proof-of-technology (PoT) work to test feasibility, integration and operating constraints before a wider build.
• Implement data queries and API integrations so agents and platform services can use existing systems and data stores, including MongoDB.
• Package and deploy services on OpenShift and through standard deployment pipelines, including build, release and basic operational checks.
• Use the Azure and AWS AI stacks as the primary model and platform services. Google Cloud AI services may be used where already present.
• Debug, test and document implementations so they can be handed to the Delivery Lead, Forward Deployed Engineer and supporting IT teams.

Qualifications/Requirements

• Degree in computer science, engineering, information systems, or a related discipline.
• Proficiency in Python for application and AI service development.
• Practical experience with LangChain and LangGraph. Experience with DeepAgent is an advantage.
• Working knowledge of MongoDB and of writing data queries against operational or document stores.
• Experience integrating systems through APIs (REST or equivalent), including authentication, error handling and data mapping.
• Experience deploying applications with a CI/CD or equivalent deployment pipeline.
• Hands-on use of Azure and/or AWS AI services (for example model APIs, search, document intelligence or related platform services). Google Cloud is an advantage only.
• Experience with AI-assisted development or rapid prototyping is an advantage.

2026-01-01

12

Airport Area

12

960000