Software Engineer, Applied AI (all levels)

ABOUT SAVVY WEALTH: Wealth management is a $545 billion industry in the US, yet remains archaic and inefficient with low technology penetration. 75% of financial advisors don’t offer digital communication beyond email, and 62% still build financial plans manually in Excel. This leads to a poor client experience and results in financial advisors spending over 70% of their time on non-client facing, manual work. Savvy is changing that. We’re 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 to scale faster and spend more time with clients. We’ve raised over $105M to date from Thrive Capital, Index Ventures, Canvas Ventures, Mark Casady (former LPL Financial CEO), and other top-tier investors. Our team is made up of repeat founders and operators who’ve helped build Airbnb, Square, Brex, Carta, Facebook, $200B+ RIAs, and more. Savvy is at a pivotal point in its growth trajectory, having established strong product-market fit in providing a modern platform to financial advisors. We’ve surpassed $5.1 billion in AUM in less than three years, grown 600%+ in the last 18 months, and are entering the next phase of the company which involves rapid expansion of our product offering and continued revenue growth. Come help us scale! RESPONSIBILITIES - Build AI-powered product features for advisors and Savvy operations teams (e.g., copilots, skilled agents, automations, summarization, routing, extraction, recommendations), with a bias toward shipping quickly - Rapidly prototype and deliver using modern AI tooling (e.g., Claude Code, OpenAI Codex, Cursor, Devin, etc.) while maintaining high engineering standards - from using individual tools to get work done all the way up to leveraging a complex orchestration layer to string together a dozen tools to get things done even faster - Own the end-to-end product development lifecycle - identify opportunities, design solutions, ship to production, and iterate - Produce production-grade, readable, maintainable code with good testing discipline - Partner tightly with Product, Design, Data, and business stakeholders to define scope, de-risk execution, and deliver high-impact outcomes - Work directly with our customers (financial advisors) to learn their workflows and needs directly from the source - Run fast! LEVEL-SPECIFIC EXPECTATIONS MID-LEVEL - Implement AI workflows using established patterns (prompting, tool/function calling, retrieval, evals) and improve over time - Ship well-scoped features independently; break ambiguous problems into concrete tasks - Contribute to code quality via reviews, tests, and documentation across your team SENIOR - Build Savvy AI systems (RAG, classification/extraction pipelines, agentic workflows) - Establish team patterns for rapid AI development (prompt/versioning strats, eval harnesses (ours and/or with vendors), rollouts, observability, testing) - Lead projects (medium to large) end-to-end - Mentor others on best practices as they emerge STAFF - Set technical direction for applied AI across multiple product areas - Drive roadmap shaping with Engineering/Product/Design/Leadership (including CxO leadership) - Define platform primitives for AI development (shared tooling, libraries, evaluation frameworks, guardrails, cost/perf opts) - Raise the bar org-wide, even beyond the reach of engineering MUST HAVE: - You’re in AI tools day and night, tinkering on work projects as well as personal - You've built scaling web applications with obvious business impact - System design expertise as it applies to emerging AI software development trends, for example, system designs that maximize the use of context windows with strong separation between components - Full-stack proficiency (or evidence you can cover your gaps via AI tools) - We use Rails; React; Next, Postgres, GraphQL - Proven collaboration abilities in cross-functional startup environments with mentoring experience and strong technical communication skills NICE TO HAVE: - Fintech domain knowledge including financial services, wealth management, regulatory compliance, or financial data integrations - Modern development ecosystem experience with macOS toolchains, CI/CD pipelines, IaaS providers, and observability platforms (eg, Datadog) BENEFITS: - Competitive salary and equity package - Unlimited PTO + paid company holidays - Access to holistic medical, dental, and vision plans - Company 401(k), Commuter, and HSA/FSA plans - NYC office in the heart of Manhattan - Lunch and snacks provided in the office - Access to virtual mental health care (Spring Health), vision related benefits (XP Health), and health concierge (Rightway) to help you find the right care - Access to counseling for stress management, dependent care, nutrition, fitness, legal, and financial issues (Guardian WorkLifeMatters EAP)