Bluejay — Member of Technical Staff
OtherMember Of Technical Staff
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Quick Summary
Key Responsibilities
Python, FastAPI, Supabase, Redis, heavy AWS, WebSockets, CI/CD; Machine Learning and LLMs; voice AI tooling (LiveKit, Deepgram, Cartesia, ElevenLabs, Gemini and similar); observability (Sentry,
Technical Tools
OtherMember Of Technical Staff
Responsibilities
~1 min read- →Architecting 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
- →Developing 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, deploy, and iterate on the product
Tech stack: Python, FastAPI, Supabase, Redis, heavy AWS, WebSockets, CI/CD; Machine Learning and LLMs; voice AI tooling (LiveKit, Deepgram, Cartesia, ElevenLabs, Gemini and similar); observability (Sentry, PostHog, Grafana, Datadog)
Requirements
~1 min read- At least 1–2 years of professional engineering experience
- A high technical bar with genuine full-stack proficiency, particularly across databases, AWS, and AI engineering
- A detail-obsessed approach and the ability to lead the technical execution of a project, ideally having built high-traffic features at scale
- A standout signal in your background — a strong bachelor's degree and/or time at a top fast-growing startup
- A strong, personable communicator who's comfortable working directly with customers
- Able to work fully on-site in San Francisco, five days a week (9-7)
Nice to Have
~1 min read- Experience handling significant scale as an IC or senior engineer
- Technical lead experience owning projects end to end
- Strong, opinionated design instincts with deep systems intuition and a highly optimized developer workflow
- Comfort and polish in front of customers
What We Offer
~1 min read✓Hard, real-time engineering problems at serious scale — millions of calls a month
✓A marquee enterprise customer base served by a lean, high-caliber team
✓Full ownership from day one, with the chance to build, deploy, and sell directly to the world's largest companies
- Location — San Francisco, CA
- Work policy — Fully on-site, 5 days/week (9-7)
- Compensation — $160,000–$220,000 + equity
- Visa sponsorship — Not available
- Employment type — Full-time
Location & Eligibility
Where is the job
San Francisco, United States
On-site at the office
Who can apply
US
About this job
- Who can apply
- United States
- Posted
- 66 days ago
Listing Details
- First seen
- August 11, 2026
- Last seen
- August 27, 2026
Posting Health
- Days active
- 66
- Repost count
- 0
- Trust Level
- 19%
- Scored at
- October 16, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
External application
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