Senior Platform Engineer - Technical Staff
About The Position
Savvy Wealth is a rapidly growing fintech company aiming to modernize wealth management through a digital-first platform that enhances human financial advice. The company has secured significant funding and experienced substantial growth, surpassing $5.1 billion in AUM in under three years. Savvy is seeking a Senior Engineer to lead the design and delivery of complex product and platform initiatives, focusing on integrating AI into their core systems. This role involves owning end-to-end project delivery, establishing engineering best practices, and contributing to the platform's evolution as the company scales. The ideal candidate will be instrumental in shaping the future of AI within fiduciary advice systems.
Requirements
- Track record of leading projects end-to-end with measurable business impact: you've taken ambiguous problems from 0 to production and held the quality bar throughout.
- Hands-on experience incorporating AI into products or systems you've shipped: you apply tools like Claude Code, Codex, or Cursor aggressively in your own workflow. You understand the design tradeoffs (prompt reliability, latency, cost, failure modes) not just the happy path.
- Strong full-stack or platform engineering depth: we use Rails, React, Next.js, PostgreSQL, and GraphQL; you're comfortable across the stack or have the engineering depth to close gaps fast.
- Strong system design instincts: you think carefully about data models, service boundaries, failure modes, and how systems hold up at scale.
- Strong technical communication: you write clearly, give effective feedback, and collaborate well across functions in a startup environment.
Nice To Haves
- Fintech domain knowledge: financial services, wealth management, regulatory compliance, or financial data integrations.
- Experience with LLM evaluation frameworks (RAGAs, LangSmith, custom harnesses) and a systematic approach to measuring reliability.
- Experience with vector databases, embedding pipelines, or retrieval-augmented generation at production scale.
- Modern development ecosystem fluency: macOS toolchains, CI/CD pipelines, IaaS (AWS/GCP), and observability platforms (Datadog, Honeycomb, etc.).
Responsibilities
- Lead the design and delivery of complex product features and platform systems, from scoping and architecture through production and iteration.
- Establish engineering patterns and standards for the team: how we build, test, observe, and iterate across both product and platform work.
- Apply and champion AI tooling (Claude Code, Codex, Cursor) to accelerate your own output and raise the team's velocity.
- Drive architectural decisions (data models, service boundaries, system tradeoffs) and communicate them clearly to technical and non-technical stakeholders.
- Mentor engineers, give substantive feedback, and be a go-to resource for technical judgment across the team.
- Partner with Product and Design to shape scope and de-risk execution on high-ambiguity problems.
- Work directly with our customers (financial advisors) to understand their workflows and bring that context into how you build.
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)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
