Bluejay — Member of Technical Staff

davidjoseph-co; San Francisco (CA); On-site; USD 160,000 - 220,000; Full time

Benefits offered by this job

Competitive equity

Job summary

Bluejay is hiring a Member of Technical Staff in San Francisco to architect and build systems that simulate, analyze, and evaluate conversational AI agents across voice and multimodal domains. You’ll own end-to-end delivery on a high-visibility project with real-time AWS infrastructure for millions of conversations.

The role emphasizes full ownership, on-site collaboration with customers, and the opportunity to impact a growing platform for AI reliability.

Qualifications

• 1+ years of experience in relevant field (JD references 2+; confirm).
• High technical bar across the stack, specifically databases, AWS, and AI engineering.
• Strong communicator and personable with customer-facing experience.
• Bachelor's degree and/or top startup experience is a strong signal.
• Able to work on-site in SF, five days a week, 9–7.

Responsibilities

• Architect and develop simulation, analysis, and evaluation systems for conversational AI (voice & multimodal).
• Build resilient, scalable AWS infrastructure for millions of real-time conversations.
• Create algorithms to surface insights, detect failure modes, and keep agents safe.
• Own work end-to-end across the full stack.
• Collaborate on-site with customers to build, sell, and deploy the product.

Skills

AWS

Databases

AI engineering

Technical leadership

Communication

Education

Bachelor's degree

Tools

Python

FastAPI

Supabase

Redis

AWS

WebSockets

CI/CD

Job description

Bluejay — Member of Technical Staff

Type: Full-time | On-site | San Francisco, CACompensation: $160,000–$220,000 + Competitive EquityHiring count: 1Visa sponsorship: None availableReports to: Founders (Faraz & Rohan)

About Bluejay

Bluejay is building the simulation, observability, and self-improvement layer for Voice AI agents, with a mission to be the trust layer between AI and humanity. Founders Faraz and Rohan left Microsoft and AWS, where they built critical infrastructure for MSFT Copilot and AWS Bedrock. Voice is the hardest modality for AI, and Bluejay builds the evaluation infrastructure to make voice agents reliable enough to succeed with real customers.

In just one year, Google, DoorDash, public healthcare companies, public banks, most drive-through fast-food chains, and corporations across five continents have used Bluejay to understand and improve their Voice AI agents. The company handles millions of calls a month, creating hard real-time product and engineering problems.

Founded: 2025 | Team size: 10 | Total funding: $4M (seed, 2025, backed by Floodgate, PeakXV, and YC) | Revenue: seven-figureIndustry: AI Tools / Voice AI infrastructureWebsite: getbluejay.aiOffice: The Sky, Union Square, San Francisco

Why Candidates Should Join

• Hard real-time problems at scale: Millions of calls a month means genuine engineering challenges in resilient AWS infrastructure and real-time conversation simulation.
• Marquee customer list, tiny team: Google, DoorDash, public banks, and drive-through chains across five continents, all served by a 10-person team on seven-figure revenue.
• Full ownership from day one: High-bar, full-stack IC role with technical execution ownership; you'll build, sell, and deploy directly to some of the world's largest companies.

Intake Call Summary

• None provided on the role page.

The Role

As a Member of Technical Staff, you'll architect and develop systems that simulate, analyze, and evaluate conversational AI agents across voice and multimodal systems, and design resilient, scalable AWS infrastructure to handle millions of real-time conversations. This is a high-bar, full-ownership, customer-facing role on a 10-person team.

What You'll Be Doing

• Architecting and developing simulation, analysis, and evaluation systems for conversational AI (voice and multimodal)
• Building resilient, scalable AWS infrastructure (Lambda, EC2, WebSockets, SIP) for millions of real-time conversations
• Building algorithms and pipelines that surface insights, detect failure modes, and keep agents safe and aligned
• Owning your work end to end, across the full stack
• Working on-site with customers to build, sell, and deploy the product

Tech stack: Python, FastAPI, Supabase, Redis, heavy AWS, WebSockets, CI/CD; Machine Learning, LLMs; Voice AI (LiveKit, Deepgram, Cartesia, ElevenLabs, Gemini, and similar); optimized DevX (skills, MCP integrations, worktrees, heavy task parallelization); observability (Sentry, PostHog, Grafana, Datadog)

Requirements

• 1+ years of experience (JD body references 2+; confirm)
• High technical bar with proficiency across the stack, specifically databases, AWS, and AI engineering
• Ability to obsess over details and lead technical execution, ideally with experience building high-traffic features at scale
• An exceptional signal: a strong bachelor's degree and/or prior experience at a top fast-growing startup
• Strong communicator and personable (customer-facing role)
• Able to work in person in SF, 5 days a week, 9-7

Green Flags

• Exceptional signal: strong bachelor's and/or a top fast-growing startup background (Mercor is a target company)
• Has handled immense scale as an IC or senior SWE
• Technical lead experience owning projects end to end
• Super opinionated about design with deep systems intuition and a highly optimized dev workflow
• Strong, personable communicator comfortable in front of customers

Red Flags

• Cannot work fully on-site in SF at a 9-7, 5-day cadence
• Needs visa sponsorship or a transfer (not available)
• Weak communicator or not comfortable being customer-facing
• No evidence of a high technical bar or of building anything at meaningful scale

Role Details

• Salary — $160,000–$220,000
• Equity — Competitive
• On-site policy — Fully on‑site, SF, 5 days/week, 9-7
• Visa sponsorship — None available
• Employment type — Full-time
• Location — San Francisco, CA

Screening Questions

• None supplied on the role page. (The body poses "What's your workflow for 100x engineering?" as a signal prompt rather than a formal screening question.)

Interview Process

Stage 1 — Pending Approval — Candidates awaiting initial approval.Stage 2 — Intro Chat — Introductory conversation.Stage 3 — Live Leetcode — Live coding. Candidates review Bluejay's technical interview prep guide (getbluejay.ai/careers/technical-interview-preparation).Stage 4 — System Design / Live Project Coding — Design and hands‑on project coding.Stage 5 — Work Trial — One‑day trial.Stage 6 — Offer Extended — Offer has been extended.Stage 7 — Candidate Hired — Candidate accepts and starts.

Ideal Companies & Backgrounds

Updated Aug 10, 2026Top fast-growing startups — Mercor (named target company)

Only one company was explicitly named on the role page; no full Ideal Companies list was provided.