Software Engineering Intern

Phoebe; New York (NY); On-site; USD 34,000 - 55,000; Part time

Benefits offered by this job

Visa sponsorship

In-person in NYC

Job summary

Phoebe in New York is seeking interns for Fall/Winter 2026–2027 with flexible timeframes and visa sponsorship if needed. You can explore UI/UX or ML research paths and join a fast-moving startup as a generalist engineer.

The role offers exposure to engineering, product, and market strategies, with hands-on experience across stack and modern AI workflows. You will learn the Vertical AI playbook, embed into industries, and help build LLM-driven workflows, while contributing to how we acquire

Qualifications

• Internship for Fall/Winter 2026–2027 with visa sponsorship available.
• Interest in UI/UX or ML research roles and willingness to learn across stack.

Responsibilities

• Get a clear view into engineering, product, go-to-market and the iterative loop that connects all three.
• Learn the Vertical AI playbook and embed into an industry to build LLM-driven workflows.
• Help generate demand with modern GTM techniques across B2B and B2C.

Skills

UI/UX

Generalist engineer

ML research

Tools

React

TypeScript

Vite

FastAPI

Python

Postgres

Twilio

LLMs

AWS

Notion

Job description

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.