Our client is a well-funded, early-stage AI company with a bold mission to reinvent wealth management by building a unified, AI-native platform to automate the entire wealth management stack.
Requirements
- Proven experience building real-world applied AI projects.
- Expertise in the company's tech stack: Python, Django, TypeScript, and Vercel.
- Familiarity with AI tools and APIs like ChatGPT and Claude Code.
- Experience with cloud infrastructure like AWS ECS, RDS/Postgres, Redis, or Terraform.
Responsibilities
- Building core platform components that unify fragmented wealth management tools.
- Designing and building end-to-end AI-powered workflows that automate financial advisor processes.
- Developing multi-agent AI workflows to deliver intelligent financial insights.
- Architecting scalable systems for real-time financial data orchestration.
- Making critical technical decisions with a high degree of autonomy.
Other
- 5–10 years of experience as a full-stack engineer at a Tier 1 venture-backed startup (Series B or earlier).
- A track record of extended stints at previous companies (avoiding short job hops).
- Willingness to work in-person, 5 days a week, in NYC.
- Prior experience as a founder or founding engineer.
- A CS or STEM degree from a top 25 university.
