SWE Intern

Posted Yesterday
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San Francisco, CA, USA
In-Office
Internship
Artificial Intelligence • Machine Learning • Software • Industrial
The Role
Intern-level product engineer role owning full-stack features for voice agents, real-time pipelines, vector-based memory, CRM integrations, and multi-tenant infrastructure. Ship production-ready systems, work with customers, and make technical tradeoffs across models and infrastructure.
Summary Generated by Built In
About Chasi

Every building, road, warehouse, and farm runs on equipment like tractors, cranes, forklifts, etc. Over 100K dealers and rental companies across North America keep those machines bought, sold, rented, and serviced, but most still operate on phone calls, paper, and decades-old software, with fewer people to do the work every year.

Chasi is building the future of equipment commerce. We help dealers and rental companies sell faster, respond to customers around the clock, and keep machines in the field instead of sitting in a shop or a yard. This is one of the biggest opportunities to bring real-world AI to an industry that software has barely touched. We're based in San Francisco, backed by YCombinator and other top investors, and already working with CAT, John Deere, Bobcat, and other top OEM dealers.

The Role

Product engineer intern hire. You own the product - helping design the infra, building the product, handling customers relationships and onboarding.

What You'll Own
  • Ship production features across the entire platform: voice agents, workflow automation, memory architecture, and the customer-facing UI
  • Design and build the real-time voice pipeline: response delivery in sub-second latency
  • Evolve our memory system: vector stores that make every agent conversation contextually intelligent
  • Build integrations that enterprises actually need: Salesforce, HubSpot, and custom CRM connectors
  • Architect multi-tenant infrastructure that scales from 10 to 10,000 organizations
  • Make direct technical decisions: model selection, infrastructure tradeoffs, build vs. buy, etc

The Stack
Next.js · TypeScript · PostgreSQL · Redis · Twilio · LiveKit · OpenAI · Anthropic · Deepgram · Vector DBs

What We're Looking For
  • 1+ years of internships building production software, ideally full-stack TypeScript/React with real backend depth
  • Waterloo Interns: Final internship
  • You've worked with LLMs beyond the tutorial stage: prompt engineering, tool use, embeddings, retrieval-augmented generation
  • Comfortable in real-time systems: WebSockets, streaming, audio pipelines, or telephony infrastructure
  • Strong opinions on architecture, loosely held. You make tradeoffs fast because you've shipped enough to know what matters
  • You thrive in ambiguity. You talk to customers, identify what to build, and ship it
  • Ownership mentality — this is a founding role with founding-level equity and founding-level responsibility

Why This Role
Real customers, real revenue, real problems. Every line of code moves the needle. If you ever wanted to build your own startup, this is the best learning ground for you!

Details:
📍 SF, in person, 6 days a week
💰️ Competitive Salary + Equity + Free meals 🤤
🇨🇦 We can sponser TN visas

Skills Required

  • 1+ years of internships building production software
  • Full-stack TypeScript/React experience with backend depth
  • Hands-on experience with LLMs: prompt engineering, tool use, embeddings, RAG
  • Comfortable with real-time systems: WebSockets, streaming, audio pipelines, telephony infrastructure
  • Experience with vector stores / Vector DBs and retrieval-augmented systems
  • Familiarity with PostgreSQL and Redis
  • Experience integrating with enterprise CRMs (Salesforce, HubSpot)
  • Ownership mentality and ability to make technical decisions quickly
  • Waterloo interns: final internship
Am I A Good Fit?
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The Company
2 Employees
Year Founded: 2025

What We Do

Chasi builds an AI Revenue Engine for the equipment industry, deploying 24/7 AI agents that automate sales, rentals and service workflows for equipment dealers and rental companies. The platform plugs into existing dealer stacks to handle inquiries, follow-ups, CRM updates and outreach, speeding responses, increasing fleet utilization and closing more deals without adding headcount.

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