Skip to main content
Savvy Wealth logo

Software Engineer, Applied AI

Savvy Wealth

New This Week
ML EngineeringWealth ManagementMid-Level (3-5 yrs)On-siteFintech Startup

Builds AI-powered copilots, agents, and automation for financial advisors at a well-funded wealth management startup modernizing the $545B advisory industry.

AI → Finance

Location

New York, NY

Salary Range

$165,000 – $260,000

Posted

Mar 29, 2026

Insider Signals

Beta
Growing AI Team

Savvy Wealth is in the growing stage of its AI organization. Great time to join.

Company AI Context

AI Maturity

growing

Tech Stack

pythonreactnext.jspostgresqlgraphqlrag

Savvy Wealth is building the most advisor-centric platform in wealth management — a digital-first solution that modernizes human financial advice.

## About the Role Savvy Wealth is building the most advisor-centric platform in wealth management — a digital-first solution that modernizes human financial advice. Advisors who partner with Savvy tap into AI-powered software, automated sales and marketing, and seamless back office workflows. Savvy has raised over $105M from Thrive Capital, Index Ventures, Canvas Ventures, and others. ## Responsibilities - Build AI-powered features including copilots, agents, and automations for financial advisors - Rapid prototyping using modern AI tools while maintaining engineering standards - Own end-to-end product development lifecycle from concept to production - Build RAG systems and agentic workflows for advisor tooling - Collaborate with Product, Design, and Data teams ## Requirements - Experience scaling web applications with measurable business impact - Full-stack proficiency with Rails, React, Next.js, PostgreSQL, and GraphQL - System design expertise for emerging AI development patterns - Passion for AI tools — using them daily for personal and work projects - Fintech domain knowledge preferred

Skills & Technologies

pythonreactnext.jspostgresqlgraphqlragllmagentic-ai

Best Backgrounds

  • machine learning engineering
  • software engineering
  • data engineering
  • applied mathematics

Related Titles to Explore

  • ML Engineer
  • Applied Scientist
  • ML Platform Engineer
  • AI Engineer

Career Bridge Playbook

Beta

Career paths into this role

software engineer
data engineer
data scientist
research scientist

Where this role leads

ML lead
head of AI
principal engineer
AI research scientist

Transition Difficulty

high

Key Skill Gaps to Close

  • financial domain knowledge
  • regulatory awareness
  • model risk management

Skills used in this role

Technical

pythonreactnext.jspostgresqlgraphqlragllmagentic-ai

Domain

model-developmentfeature-engineeringmodel-deploymentrisk-modeling

Soft Skills

cross-functional-collaborationtechnical-communicationproblem-solving

Interested in this role?

Apply directly on the company's career page.

Apply Now

Roles like this, before they trend

Get weekly intel on who's hiring in AI x Finance, plus hidden gems most people miss.

Unsubscribe anytime. We never share your email.