Member of Technical Staff

Bluejay; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Restaurant d'entreprise

Indemnités de stage/alternance

Job summary

Bluejay is building the simulation, observability, and self-improvement layer for Voice AI agents. The role focuses on architecting and delivering scalable infrastructure on AWS to support millions of concurrent conversations while developing advanced AI/evaluation tooling.

You will work with a small team of ~10, own projects end-to-end, and engage directly with customers in a San Francisco office located in Union Square.

Qualifications

• 2+ years of experience as a senior engineer
• Experience leading technical execution and delivering high-traffic features
• Proficiency across the stack with emphasis on databases, AWS and AI engineering
• Strong design instincts and a track record of building scalable systems
• Comfortable working directly with customers on-site and delivering end-to-end solutions
• Ability to own projects from concept to production in a small team setting

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 millions of real-time conversations
• Develop algorithms and pipelines that surface insights, detect failure modes, and ensure agents are safe and aligned with human intent
• Work on-site with customers, building, selling, and deploying the product to real customers

Skills

2+ years of senior engineering

DevX

Deep system design

OPINIONATED about design decisions

Deep intuition from previous scaling

100x engineering workflow

Technical leadership experience

On-site customer engagement

Tools

Python

FastAPI

Supabase

Redis

AWS

LiveKit

Deepgram

Cartesia

Elevenlabs

Gemini

Websockets

CI/CD

Job description

Bluejay is building the simulation, observability, and self-improvement layer for Voice AI agents. Rohan and Faraz left AWS and Microsoft, where they built critical infrastructure for MSFT Copilot and AWS Bedrock to start Bluejay. Bluejay builds evaluation infrastructure for Voice AI.

In just one year since inception, Google, Doordash, public healthcare companies, public banks, most drive-through fast food chains, and corporations across 5 continents now use Bluejay to understand and improve their Voice AI agents. We raised a 4m seed backed by Floodgate, PeakXV, and YC in 2025, and have been sustaining ourselves through our growth and revenue. We handle millions of calls a month, presenting challenging engineering problems to sustain real-time simulated conversations and production monitoring at scale.

We are looking for experienced senior engineers with 2+ YOE who want to play a pivotal technical role in Bluejay’s team. We want senior, experienced engineers who obsess over the details, can lead a project’s technical execution, and have built high-traffic features at scale. We hold a high technical bar and expect proficiency across the stack, specifically in databases, AWS, and AI engineering.

At Bluejay, you’ll be working with some of largest companies in the world to test, monitor, and improve their Voice AI agents. You’ll be working with tech across the stack, and taking full ownership for your work. We are small team of 10 punching well above our weight, and expect you to do so as well!

Our (beautiful) office, The Sky, is located in Union Square, San Francisco.

Here Are Some Skills That We Are Looking For

DevX

• Optimized developer setup (skills, mcp integrations, worktrees, and immense task parellelization)
• Observability experience (Sentry, Posthog, Grafana, Datadog)

Backend

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

Desirable Quirks

• SUPER OPINIONATED about design decisions
• DEEP INTUITION from previous experience designing systems
• optimized developer workflow (what is your workflow for 100x engineering?)

Desirable Experiences (any of these will pique our interest)

• Has worked at a company that has handled immense scale as an IC or Senior SWE
• Has been a technical lead, and handled projects end to end

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 millions 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. You’ll be building, selling, and deploying the product to real customers.