Software Engineering Intern

Posted Yesterday
New York City, NY, USA
In-Office
Internship
Healthtech • HR Tech • Conversational AI
Phoebe is modernizing America's home healthcare infrastructure.
The Role
Software Engineering Interns will build full-stack features, voice and SMS agents, LLM orchestration workflows, internal operations tools, and reliability improvements. The role involves React and TypeScript frontend development, Python and FastAPI backend work, database and API development, observability, agent evaluation, and rapid feature delivery to real customers. Interns will work in person with a small startup team and may contribute to UI/UX or machine learning research.
Summary Generated by Built In

We are looking for interns for Fall or Winter (September 2026 - December 2026) and (January 2027 - April 2027). We can also accommodate different periods of time and sponsor Visa's if needed.

Feel free to apply if you're interested in UI/UX or are looking for a ML research intern role as well!

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

  • Above market salary

  • 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.

Skills Required

  • Strong generalist engineering skills with the ability to work across the stack
  • Ability to ship quickly and iterate based on real usage
  • Comfort working with ambiguity and figuring things out independently
  • Experience working with LLMs in production, or eagerness to learn
  • Interest in cutting-edge AI development workflows and coding agents
  • Desire to work in person in New York City
Am I A Good Fit?
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The Company
HQ: Allentown, PA
10 Employees

What We Do

What is Phoebe? Phoebe builds AI teammates for home health: the coordination layer for one of the largest labor markets in the country. Phoebe is an AI scheduling assistant that works alongside homecare agencies' existing EHR to help schedulers confirm and fill open shifts. The U.S. medical staffing market is $25B+ and growing, with strong demographic tailwinds as America ages. AI is changing how staffing works, and we’re building to lead that transition. As more agencies and caregivers use Phoebe, the platform gets more valuable.

Why Work With Us

We're growing fast and recently raised $9.5M from Slow Ventures and Quiet. We’re a small team, we move fast, and we’re focused on turning early traction into a durable business. The company is founded by 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.

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