Full-Stack Engineer - AI Agents & Investment Research
Summary
Full-stack engineer at a small Hong Kong fintech (ZenFinAI) building AI applications for investment research. Day-to-day: maintain and improve the web product across front end, back end and deployment, while increasingly building LLM-powered AI agent workflows and investment-research data pipelines (e.g., SEC EDGAR ingestion), primarily in Python.
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.