Software Engineering Intern

Phoebe is modernizing America's home healthcare infrastructure through a coordination layer for a major labor market. The Software Engineering Intern will build full-stack features, voice and SMS agents, LLM orchestration, internal operations tooling, and reliability improvements for production systems while gaining exposure to engineering, product, and go-to-market workflows.

What you'll do:

• 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
• 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
• 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

What they're looking for:

• • 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

Benefits:

• Interesting, high-leverage work at a company growing very fast
• Small team where your work ships to customers immediately
• 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.