Senior Platform Engineer - Technical Staff

About the role

Savvy is hiring a Senior Engineer to lead the design and delivery of complex product and platform work. Our platform integrates AI with fiduciary advice, and the senior engineers who build it are responsible for making decisions about where AI fits within the system, how to build it reliably, and how to improve the team's ability to do the same.

What You'll Do

• 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.

Senior Engineer Expectations

• Own the design and delivery of complex features and systems, establish best practices, and lead projects end-to-end with minimal direction.
• Lead medium-to-large projects from scoping through production: define the approach, manage dependencies, and communicate progress clearly to stakeholders.
• Raise code and system quality through design reviews, RFCs, and strong testing and observability standards.
• Stay consistently ahead of the curve on AI tooling and model capabilities. Translate this into concrete decisions: what to build with AI, how to build it reliably, and where it's not worth the complexity.
• Mentor engineers on technical and product judgment as they develop.
• Has strong product instincts and exercises them: engineers at Savvy own outcomes, not just tasks.

MUST HAVE

• 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 HAVE

• 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.).

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)
• Access to counseling for stress management, dependent care, nutrition, fitness, legal, and financial issues (Guardian WorkLifeMatters EAP)