Applied AI Engineer (Customer Facing)

Retell AI

On-sitePosted August 3, 2026

About the role

Retell AI is hiring an Applied AI Engineer to work directly with enterprise customers to design, build, and deploy production AI voice applications. This full-time role is based in Redwood City, California, and sits at the intersection of AI, software engineering, and customer success. You will partner with customer engineering teams to integrate Retell APIs and SDKs, develop custom workflows and conversational AI experiences, and help customers architect scalable AI systems for production.

Responsibilities

Build AI solutions with customers by designing, building, and deploying production AI voice applications; collaborate with customer engineering teams to integrate Retell APIs and SDKs; develop custom workflows, automations, and conversational AI experiences; help scale Voice AI in production.
Debug production issues across APIs, webhooks, telephony, SIP, authentication, latency, and infrastructure; investigate AI behavior and improve prompt quality, reliability, and performance; work directly in customer codebases; own implementation from PoC to production launch.

Applied AI Engineer (Customer Facing)

Retell AI

On-sitePosted August 3, 2026

About the role

Retell AI is hiring an Applied AI Engineer to work directly with enterprise customers to design, build, and deploy production AI voice applications. This full-time role is based in Redwood City, California, and sits at the intersection of AI, software engineering, and customer success. You will partner with customer engineering teams to integrate Retell APIs and SDKs, develop custom workflows and conversational AI experiences, and help customers architect scalable AI systems for production.

Responsibilities

Build AI solutions with customers by designing, building, and deploying production AI voice applications; collaborate with customer engineering teams to integrate Retell APIs and SDKs; develop custom workflows, automations, and conversational AI experiences; help scale Voice AI in production.
Debug production issues across APIs, webhooks, telephony, SIP, authentication, latency, and infrastructure; investigate AI behavior and improve prompt quality, reliability, and performance; work directly in customer codebases; own implementation from PoC to production launch.

Drive customer success by leading technical onboarding for enterprise customers; serve as the primary technical advisor during implementation; guide customers on AI best practices for architecture and deployment strategies; help customers expand into new AI use cases across their organizations.

Influence the Product by partnering with Product and Engineering to improve the platform; turn customer feedback into product improvements; identify recurring pain points and propose scalable solutions; h

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