Fullstack Engineer

Quiet Capital; New York (NY); On-site; USD 162,000 - 198,000; Full time

Benefits offered by this job

Base salary $180k+

Equity

In-person in NYC

Small team

Job summary

Phoebe is building the future of home healthcare tech in the US. We are seeking a hungry, high-throughput generalist engineer to help scale our platform. You’ll work across the stack, learn the domain, and deploy LLM-driven workflows that automate engineering, observability, and product delivery.

Join a fast-growing startup with PMF, work on voice/SMS automation, and ship features that touch real customers within days. NYC presence is expected, with equity and a competitive base salary.

Qualifications

• Strong generalist who can work across the stack.
• Experience with AI dev workflows and coding agents.
• Proven ability to ship features quickly.
• Comfort with ambiguity and learning on the job.

Responsibilities

• Ship features end-to-end from design to production.
• Improve reliability and observability of voice/messaging stack.
• Own a feature area such as an EHR integration or tooling for ops.
• Collaborate across engineering, product and GTM to automate workflows.

Tools

React/TypeScript

FastAPI

Python

PostgreSQL

Twilio

AWS

Job description

About Phoebe

Phoebe is modernizing America's home healthcare infrastructure. This is the coordination layer for one of the largest labor markets in the country.

We're looking for hungry, high-throughput generalist engineers as we scale into the multi-millions over the next 6 months.

About You

We're looking for hungry, high-throughput generalist engineers as we scale into the multi-millions over the next 6 months. You might want to start your own company one day, but aren’t sure what to build yet. You might have spent time at a larger unicorn and want to join a fast growing startup with PMF.

You will:

• Get a clear view into engineering, product, go-to-market, and the iterative loop that connects all 3

• Learn the Vertical AI playbook

  • how to embed into an industry, learn the domain, and build LLM-driven workflows to automate it.

  • How to generate demand with modern GTM techniques across B2B and B2C

What You'll Build

• Voice and SMS agents that automate the 24/7 shift lifecycle (confirmations, clock-ins, notes, last-minute coverage)

• LLM orchestration across prompt engineering, tool use, context management, and evals that keep agents reliable as we scale

• Internal ops tooling so our team can monitor agent performance, handle edge cases, and onboard new customers fast

• Reliability and observability improvements across our voice and messaging infrastructure

• Full-stack features from data model to API to UI, shipped to real customers within days

Your First 90 Days

• Month 1: Ship something real. You'll pair-program with the team immediately and ship features within your first week. By the end of month one, you'll own a complete feature from design to production.

• Month 2: Go deep on the orchestration layer. You'll improve reliability and observability across our voice and messaging stack, and contribute to how we evaluate agent quality at scale.

• Month 3: Take ownership. You'll scope and lead a feature area yourself, such as a new EHR integration, an improvement to the talent agent product, or better tooling for our ops team.

Our Tech

• React / TypeScript / Vite on the frontend

• FastAPI / Python on the backend

• Postgres (RDS)

• Twilio for voice and SMS

• LLMs throughout

• AWS

• Linear, Notion
  

You're a Good Fit If

• You're a strong generalist who can work across the stack

• You stay on the cutting edge of AI dev workflows and love using coding agents to automate engineering, observability, and the entire development workflow.

• You ship fast and iterate based on real usage

• You're comfortable with ambiguity and figuring things out as you go

• You've worked with LLMs in production (or are eager to)

• You want to be early at a company that's growing very quickly

What We Offer

• Interesting, high-leverage work at a company growing very fast

• $180k+ base salary with above-market equity

• Small team where your work ships to customers immediately

• In-person in NYC - we work in the same room

• Multiple second-time founders to learn from - Justin (CEO) sold Bayes (YC S19) to Airtable. Dave built and sold Kamana, an app for travel nurses.