Senior Engineer - Technical Staff

The role:

Savvy is hiring a Senior Engineer to lead the design and delivery of complex product and platform work. Our platform is where AI meets fiduciary advice, and the senior engineers who build it don't just use AI to go faster, they make decisions about where AI belongs in the system, how to build it reliably, and how to raise the team's ability to do the same. You'll own end-to-end delivery of high-impact projects, establish engineering patterns for the team, and help define how our platform evolves as we scale.

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, Cursor, Codex, and the rest) 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.

Must have:

• 5+ years of professional experience.
• You use AI tools aggressively in your daily workflow: Claude Code, Cursor, Codex, and whatever else is useful. You're consistently ahead of the curve on what's emerging, and you translate that into concrete decisions: what to build with AI, how to build it reliably, and where it's not worth the complexity.
• 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.
• Strong full-stack or platform engineering depth; we use Rails, React, Next.js, PostgreSQL, and GraphQL; comfortable across the stack or with the depth to close gaps fast.
• Strong system design instincts: 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:

• You've built AI-powered features or systems that customers rely on in production: LLM integrations, agentic workflows, retrieval pipelines, intelligent automations, or similar. You understand the real design tradeoffs: prompt reliability, latency, cost, failure modes, not just the happy path.
• Experience with LLM evaluation frameworks (RAGAS, LangSmith, custom harnesses) and a systematic approach to measuring reliability.
• Fintech domain knowledge: financial services, wealth management, regulatory compliance, or financial data integrations.
• 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) 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)