AI Software Engineer (LLM & MLOps Focus)

Finoverse Limited; Hong Kong; On-site; HKD 420,000 - 660,000; Full time

Job summary

Finoverse Limited is seeking an AI Development & Maintenance engineer in Hong Kong to design, implement, and refine AI applications, focusing on LLM integration and scalable pipelines. You will evaluate multiple models, optimize performance, and stay abreast of AI/ML advances to drive product value.

The role requires 2–4 years in software engineering with at least 1 year in AI/ML or LLM work, strong Typescript and Python skills, and experience with ML tooling and cloud infra.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, AI/ML, or related field.
• 2–4 years of professional software engineering experience with at least 1 year in AI/ML or LLM development.
• Portfolio or links to AI/software projects are a plus.

Responsibilities

• Design, develop, and maintain AI applications with a focus on integrating and fine-tuning LLMs.
• Implement and optimize AI pipelines: data prep, model training, inference, deployment.
• Evaluate and compare LLMs for NLU, summarization, and automation tasks.
• Stay updated with AI/ML advancements and propose innovative solutions.
• Develop and execute test plans; benchmark LLMs against metrics; document results.

Skills

Typescript

Python

LLM development

Hugging Face Transformers

LangChain

LlamaIndex

PyTorch

REST APIs

Git

Docker

Kubernetes

AWS

GCP

Azure

Testing

CI/CD

Education

Bachelor’s degree in CS/SE/AI/ML or related field

Tools

Docker

Kubernetes

AWS

GCP

Azure

Job description

Finoverse Limited is seeking an AI Development & Maintenance engineer in Hong Kong to design, implement, and refine AI applications, focusing on LLM integration and scalable pipelines. You will evaluate multiple models, optimize performance, and stay abreast of AI/ML advances to drive product value.

The role requires 2–4 years in software engineering with at least 1 year in AI/ML or LLM work, strong Typescript and Python skills, and experience with ML tooling and cloud infra.