- Hong Kong Hong Kong
Match Talent Limited Hiring! Full Time AI Engineer in Hong Kong - Ricebowl
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Job Description
Responsibilities
MatchTalent is Asia’s trusted partner that identifies the high demands to the flourishing digital sphere. Our mission is to empower businesses and pioneer their future with leading digital talents and to successfully refer digital talents for their next career enhancement.
We trust our ability to do a great deal in the Digital, FinTech, Information Technology, Marketing, Data Science, to Creative sectors.
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.
If you are interested please send your CV via our website: *************
Contract
We trust our ability to do a great deal in the Digital, FinTech, Information Technology, Marketing, Data Science, to Creative sectors.
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.
If you are interested please send your CV via our website: *************
Contract
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