Founding Engineer

Bluejay | San Francisco, California, United States | 3w ago

skills: react, tailwind, typescript, nextjs, python, fastapi, supabase, redis, aws, livekit, deepgram, cartesia, elevenlabs, gemini, pydantic ai, openai, websockets, ci/cd, lambda, ec2, sip, voice ai, text ai

apply →

Bluejay is building the simulation, evaluation, and observability layer for voice + text AI agents.

We work with Fortune 500s, multi-national corporations, and startups to make sure their AI agents perform as intended. We raised a 4m seed backed by Floodgate, PeakXV, and YC in June, and have been doubling our growth every 3 months since inception.

We are looking for cracked, FULL STACK, founding engineers with 1-2 years of experience who would like to join the Bluejay rocketship. We want fresh, scrappy engineers who get really excited building cool shit. We hold a high technical bar and expect proficiency across the stack.

At Bluejay, you’ll be working with some of the largest companies in the world to QA their voice and text AI agents. You’ll be working with tech across the stack, and taking full ownership for your work. We are a super small team punching well above our weight, and expect you to do so as well!

Frontend

React, Tailwind
TypeScript
NextJS

Backend

Python, FastAPI
Supabase, Redis
AWS (a lot of it)
Voice AI: LiveKit, Deepgram, Cartesia, Elevenlabs, Gemini, etc
Text AI: Pydantic AI, OpenAI, agentic frameworks
Websockets
CI/CD chops

Desirable Quirks

super opinionated about random design decisions
enjoys keeping a clean room (codebase cleanliness)
physically cringes when seeing inefficient code or poorly designed systems
has good intuition when designing new systems
aesthetic, inspired, artsy, in touch

Desirable Experiences (any of these will pique our interest)

Has worked at a YC company as a founding engineer for over 6 months
Has worked in the voice AI space
Has built beautiful frontend websites
Is a technical, ex-VC-backed founder

What You’ll Do

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. This early on, you’ll be building, selling, and deploying the product to real customers.

Benefits

4m seed funding · yc backing

Get new builder jobs daily: