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Founding Engineer

Taro Verified

Bluejay

Bluejay is the quality assurance platform for AI agents. With Bluejay, simulate a month's worth of customer interaction in 5 minutes. Catch bugs before they go into production, prevent performance regressions, and speed up development cycles from days to minutes.
San Francisco, CA, USA
$120,000 - $170,000
Backend
Mid-level
In-person
1-10 Employees
1+ year of experience

Taro Hiring Bonus Eligible

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Receive a cash bonus of up to $15,000 when you successfully land this role. You can view your bonus here.

Job Description

Bluejay is building the simulation, evaluation, and observability layer for voice + text AI agents. They raised a 4m seed backed by Floodgate, PeakXV, and YC in June, and have been doubling their growth every 3 months since inception. As a Founding Engineer, you'll be working with Fortune 500s, multi-national corporations, and startups to QA their AI agents, taking full ownership of your work. You'll architect and develop systems that simulate, analyze, and evaluate conversational AI agents, including voice and multimodal systems and design resilient, scalable infrastructure using AWS. You will develop algorithms and pipelines that surface insights, detect failure modes, and ensure agents are safe and reliable. The role involves working with React, Tailwind, TypeScript, NextJS, Python, FastAPI, Supabase, Redis, and AWS. The compensation range for this role is $120,000 - $170,000, along with equity. Bluejay offers competitive compensation, generous equity, heavily discounted housing/room and board. This is a great opportunity to have a massive impact as one of the founding engineers in a fast-growing company.


Responsibilities

  • Architect and develop systems that simulate, analyze, and evaluate conversational AI agents, including voice and multimodal systems
  • Design resilient, scalable infrastructure using AWS (Lambda, EC2, Websockets, SIP) to handle thousands of real-time conversations
  • Develop algorithms and pipelines that surface insights, detect failure modes, and ensure agents are safe, reliable, and aligned with human intent
  • Work on-site with customers
  • Build, sell, and deploy the product to real customers

Requirements

Python
React
TypeScript
Redis
  • 1+ Years Years of Exp.
  • Relevant professional experience

Benefits

Equity
  • Competitive compensation
  • Generous equity
  • Heavily discounted housing/room and board option
  • Opportunity to have a massive impact as one of the founding engineers