AI Engineer

Match Talent Limited; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

Match Talent Limited is seeking a skilled AI Platform Engineer to develop and maintain AI agents and orchestration flows in Python. You will build platform components, enable robust API integrations, and deploy services using OpenShift and CI/CD pipelines.

Experience with LangChain and LangGraph is essential, and DeepAgent is a plus. The role involves PoT work to test feasibility and ensure smooth integration with existing systems, using Azure/AWS AI services as primary tools, with Google Cloud

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 against stores.
• Experience integrating systems via APIs (REST or equivalent).
• Experience deploying applications with CI/CD pipelines.
• Hands-on use of Azure and/or AWS AI services; Google Cloud is a plus.
• Experience with AI-assisted development or rapid prototyping is an advantage.

Responsibilities

• Develop and maintain AI agents and orchestration flows in Python.
• Build platform components to support agent delivery and evaluation hooks.
• Contribute to PoT work to test feasibility and constraints.
• Implement data queries and API integrations with existing systems.
• Package and deploy services on OpenShift and standard pipelines.
• Utilize Azure and AWS AI services; Google Cloud as needed.
• Debug, test and document implementations for IT handover.
• Collaborate with Delivery Lead and Forward Deployed Engineer.

Skills

Python

LangChain

LangGraph

DeepAgent

MongoDB

REST APIs

CI/CD

Azure

AWS

Google Cloud

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline

Tools

LangChain

LangGraph

DeepAgent

MongoDB

REST APIs

CI/CD

Azure

AWS

Google Cloud

Job description

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.