AI Engineer
Summary
Build and maintain AI systems that power fundamental equity research for Asian markets, including retrieval, reasoning, and workflow automation using Python and LLM technologies.
Founded in 2008 and headquartered in Singapore, Dymon Asia Capital is a leading Asia-focused alternative investment manager. With offices in Singapore, Hong Kong, Shanghai, Tokyo and Dubai, the firm invests in local talent to build deep expertise across Asia's markets.
This role sits at the core of our Equities equity-research AI team — building the applied AI that powers fundamental research across Greater China, Japan and Korea.
We are hiring AI Engineers to build applied AI systems for fundamental equity research. You will work on the core AI capabilities, application logic, evaluation workflows, and infrastructure needed to support high-quality research tools.
This role is open to candidates with at least 3 years of relevant experience. We also welcome more senior engineers who have built production-grade AI or data-intensive systems.
We are particularly interested in experienced senior engineers and builders, who can take a lead role for Dymon's equity-research AI effort — working closely with portfolio managers and directly supporting investment decision-makers.
WHAT YOU'LL DO
- Build AI-enabled applications and services for research workflows.
- Develop systems for retrieval, reasoning, evaluation, and workflow automation.
- Improve reliability, observability, performance, and cost efficiency.
- Work with analysts and product partners to turn research needs into technical capabilities.
- Productionize prototypes into maintainable services and internal tools.
- For senior hires: set technical direction for the equity-research AI stack, mentor other engineers, and own architecture and build-vs-buy decisions end to end.
WHAT WE'RE LOOKING FOR
- 3+ years of software engineering experience, with more senior profiles welcome (staff / principal / founding-engineer level strongly encouraged).
- Hands-on experience building LLM or AI-enabled applications.
- Strong Python skills; TypeScript or modern web application experience is a plus.
- Experience with APIs, data pipelines, cloud deployment, and production systems.
- Good judgment around evaluation, reliability, and user-facing AI behavior.
- Interest in financial research, markets, or data-rich professional workflows.
NICE TO HAVE
- Experience with retrieval systems, agents, workflow automation, or AI evaluation.
- Experience with financial data, research tools, or enterprise data systems.
- Familiarity with cloud infrastructure, CI/CD, observability, and production operations.
- Mandarin Chinese ability; exposure to Chinese-market data such as Wind.