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Founding AI Engineer (Real-Time Voice Agent)

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Join an early-stage B2B SaaS team as its founding AI engineer, building the core of a real-time voice agent that supports sales conversations and product demos. You will build agent reasoning, tool use, memory, and recovery for live conversations, develop evaluation pipelines, improve browser automation reliability, and ship product features end to end. Requires four to seven years of AI engineering experience, at least one year with real-time or voice AI systems, and proficiency in TypeScript, Node.js, and Next.js.

Key Highlights
Founding AI engineer for a real-time voice agent supporting sales conversations and product demos
Owns agent technical direction, architecture, and model choices
Builds agent reasoning, tool use, memory, and recovery under tight latency
Develops evaluation pipelines and drives measurable improvements
On-site in New York; visa sponsorship available
Key Responsibilities
Build agent reasoning, tool use, memory, and recovery for live conversations while meeting tight latency requirements
Develop evaluation pipelines and use call data to drive measurable improvements, including fine-tuning where effective
Improve reliability of browser automation so the agent can demonstrate products in a live browser while speaking with buyers
Ship product features end to end using TypeScript, Node.js, and Next.js
Work with customers and design partners to shape the product and set direction on models, methods, and build-versus-buy decisions
Technical Skills Required
TypeScript Node.js Next.js
Benefits & Perks
Visa sponsorship available
Nice to Have
Experience with browser automation tools such as Playwright
Working directly with customers or design partners
Background in voice AI, AI sales, browser agents, or sales technology

Job Description

About the Role

Join an early-stage B2B SaaS team as its founding AI engineer, building the core of a real-time voice agent that supports sales conversations and product demos. You will own the agent's technical direction, from architecture and model choices to measuring and improving performance.

What You'll Do

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