Full-Stack Engineer - AI Agents & Investment Research

ALPHA FINTECH LTD; Sha Tin; Hybrid; HKD 420,000 - 650,000; Full time

Job summary

ALPHA FINTECH LTD in Hong Kong is seeking a full-time full-stack developer to maintain ZenFinAI and build new features. You will work directly with the founder to turn ideas into working software and later focus on AI agent development and investment-research workflows.

The role requires solid Python skills, front-end and back-end web development experience, and the ability to learn quickly. Mandarin fluency and the right to work in Hong Kong are expected; fresh grads welcome.

Qualifications

• Solid programming skills, with Python preferred and full-stack web development experience.
• Experience using LLM APIs and building reliable AI agent applications is desirable.
• Ability to learn quickly, troubleshoot independently, and take features from code to deployment.
• Degree in Computer Science or related field, or equivalent practical experience.

Responsibilities

• Maintain and improve ZenFinAI across front end, back end, deployment and production troubleshooting.
• Build and ship product features, integrate APIs and manage data flows and databases.
• Develop AI agent workflows, including LLM integration, agent orchestration and evaluation.
• Build investment-research data pipelines, including SEC EDGAR ingestion and information extraction.
• Evaluate AI models/tools for quality, reliability, latency and cost; automate tasks.

Skills

Python

Frontend development

Backend development

LLM APIs

Troubleshooting

Education

Bachelor's degree in Computer Science or related field

Tools

LLM APIs

Job description

About Us

Alpha FinTech Limited is a Hong Kong fintech company developing AI applications for investment research. Our platform, ZenFinAI (zenfinai.com), focuses on US and Hong Kong equity research and strategy analysis. We are a small, founder-led team, and you will be one of our first engineers.

The Role

Your initial focus will be full-stack development, website maintenance and product reliability. Over time, the role will place greater emphasis on AI agent development and investment-research workflows. You will work directly with the founder and help turn product ideas into working features.

What You'll Do

• Maintain and improve ZenFinAI across the front end, back end, deployment and production troubleshooting.
• Build and ship product features, integrate APIs and manage data flows and databases.
• Develop AI agent workflows, including LLM integration, agent orchestration, prompt design and output evaluation.
• Build investment-research data pipelines, including SEC EDGAR filing ingestion and LLM-based information extraction.
• Evaluate AI models and tools for quality, reliability, latency and cost; automate research and monitoring tasks.

What We're Looking For

• Solid programming skills, preferably Python, plus practical front-end and back-end web development experience.
• Hands-on experience using LLM APIs and an interest in building reliable AI agent applications.
• Ability to learn quickly, troubleshoot independently and take a feature from implementation to deployment.
• A degree in Computer Science or a related field, or equivalent practical experience.
• Fluent Mandarin and the ability to read English technical documentation independently.
• Interest in investing and financial markets; a finance background is not required.
• Existing legal right to work in Hong Kong. The company does not provide employment visa sponsorship.
• Junior and mid-level candidates are welcome, including fresh graduates who can demonstrate a complete, working project. Practical project experience and delivery ability matter more than job titles.

Nice to Have

Experience with financial data or SEC EDGAR; RAG, knowledge graphs or vector databases; local LLM deployment; quantitative backtesting; or agent frameworks.

Working Arrangements

• Full-time position, with a five-day work week and MPF contributions.
• Hong Kong-based hybrid working. You must be available to attend our Fo Tan office when needed.
• Direct collaboration with the founder, meaningful product responsibility and input into technical decisions.