Founding Engineer
AI Summary
Second engineer in a small early-stage team building real-time voice, LLM orchestration, and a self-improving agent for revenue conversations. Owns implementation from agent core to generative UI and debugging tools.
About this role
Hobbes is a self-improving agent that runs product demos today and full sales conversations soon. Arjun (CTO) and Chirag (CEO) are the team today. You'd be the second engineer: real-time voice, generative UI that redraws itself based on who's watching, custom LLM orchestration, eval loops that actually move the needle. The roadmap isn't written. You'll help write it.
About Hobbes
A company's most valuable asset is the conversation it has with a buyer. Most B2B websites lose that conversation at the "request a demo" form. Hobbes runs real, conversational product demos 24/7. That's Phase 1. The real bet is a self-improving agentic layer that runs the revenue side of a business.
Every conversation a prospect has with the agent is logged, measured, and fed back into the product. Five prospects tell Hobbes they want to buy but need Hubspot integrated as a non-starter? Hobbes creates the PR autonomously and updates those prospects that it's ready to go-live.
We have secured $6M in funding and have tripled since February, mostly on inbound. One customer 2x'd their revenue within 8 weeks of deploying Hobbes. Another closed a deal within 2-hours of Hobbes going live on their site.
What you'll build
The agent. LLM orchestration, conversation flow, tool use, voice.
Generative UI that adapts in real time to what the prospect cares about.
The eval loop. Demos get smarter without manual intervention.
The platform customers use to configure, review, and tune their agent.
And yes: CSS, migration scripts, customer debugging. Early-stage means all of it.
What we're looking for
You've shipped LLM systems to production and can talk about what broke and what you did about it.
You move fast without creating hidden problems. You've also killed features that weren't working.
You take ownership without being asked.
Comp
Base: $180-230K
Equity: Founding-caliber
Location: In-person, San Francisco
Process
4 rounds: Arjun, Chirag, async case study, paid 3-day work trial in the office. About 2 weeks from first conversation to offer.
Skills
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