Member of Technical Staff

Description

The company 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 the company. The company 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 the company to understand and improve their Voice AI agents. 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 mid-level engineers with 2+ YOE who want to play a pivotal technical role in the company’s team. We want experienced, mid-level 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 the company, you’ll be working with some of the 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 Supabase, Clickhouse AWS (a lot of it) Redis 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 mid-level SWE Has been a technical lead, and handled projects end to end

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, reliable, and aligned with human intent.
• Work on-site with customers. You’ll be building, selling, and deploying the product to real customers.
• Skills: Amazon Web Services (AWS), Python, Machine Learning, LLMs
• Experience: 3+ years
• Visa: US citizen/visa only