Building the next generation of wealth. Backed by Y Combinator.
About the role
**Build an AI deep research analyst that can synthesize deal documents, market data, news articles, and comparable deals into actionable, well-sourced insights—while surfacing nuances rather than hiding it.
What they're looking for
- 6+ years of software engineering experience, with deep hands-on work in applied AI / ML systems
- Strong fundamentals in Python and backend system design
- Proven experience with LLMs (prompting, fine-tuning, RAG, agentic workflows, or evaluation tooling)
- Experience owning ambiguous, high-impact systems from concept to production
- Comfort making architectural tradeoffs under real-world constraints
- Ability to think at the system level while still shipping high-quality code
More about this role
Goodfin is an AI-native wealth platform focused on private markets. We’re building intelligent, agentic systems that help accredited investors research, evaluate, and act on private investment opportunities with clarity and confidence.
This is not an AI “feature.” AI is the product.
As a Staff AI Engineer, you’ll be a technical leader responsible for designing, building, and hardening the core intelligence systems behind Goodfin—systems used by real investors making real financial decisions.
This is a hands-on role for someone who wants to work at the boundary of what’s reliable in applied AI—and make it production-grade. You’ll own end-to-end systems: from architecture and modeling decisions through deployment, evaluation, and iteration. You’ll also help define technical standards and shape how we build AI as a company.
- Architecting LLM-powered, agentic systems for private market research, analysis, and decision support
- Designing hybrid reasoning pipelines that combine LLMs with retrieval, structured financial data, rules, and tools
- Building robust RAG pipelines over unstructured, noisy, and proprietary data (PPMs, decks, filings, internal memos)
- Developing evaluation...
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