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Retell AIRetell AIRedwood City, CA

Applied AI Engineer

Build and deploy production Voice AI applications directly with enterprise customers, integrating APIs and SDKs, debugging complex systems, and guiding implementations from proof of concept through launch. The role requires 2+ years of relevant experience, strong programming skills, and excellent customer communication.

200k – 300k/yr
On-site2+ YOESolutions Architecture

About the role

Responsibilities

Build AI Solutions with Customers

  • Design, build, and deploy production AI voice applications.
  • Partner with customer engineering teams to integrate Retell APIs and SDKs.
  • Develop custom workflows, automations, and conversational AI experiences.
  • Help customers architect scalable AI systems for production.

Solve Complex Technical Problems

  • 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 when needed.
  • Own technical implementation from proof of concept through production launch.

Drive Customer Success

  • Lead technical onboarding for enterprise customers.
  • Serve as the primary technical advisor during implementation.
  • Guide customers on AI best practices, architecture, and deployment strategies.
  • Help customers expand into new AI use cases across their organizations.

Influence the Product

  • Partner closely with Product and Engineering to improve the platform.
  • Turn customer feedback into product improvements.
  • Identify recurring customer pain points and propose scalable solutions.
  • Help define best practices for deploying enterprise Voice AI.

Requirements

Must Have

  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
  • 2+ years of software engineering or customer-facing technical experience building and deploying production applications.
  • Strong programming skills in Python, TypeScript, or similar languages.
  • Experience working with APIs, SDKs, and distributed systems.
  • Excellent debugging and problem-solving skills.
  • Strong communication skills and the ability to work directly with technical customers.
  • Availability to work standard U.S. business hours with overlap with the Pacific Time team and enterprise customers.

Nice to Have

  • Experience building AI or LLM-powered applications.
  • Experience with Voice AI, speech technologies, or conversational AI.
  • Experience with cloud infrastructure such as AWS, GCP, or Azure.
  • Experience with telephony, SIP, Twilio, or real-time communications.
  • Startup experience.
  • Customer-facing engineering, solutions engineering, or consulting experience.
  • Willingness to travel up to 10% for customer workshops, launches, and onsite engagements.

Compensation and Benefits

  • Cash compensation: $200,000–$300,000.
  • Meaningful equity.
  • 100% coverage for medical, dental, and vision insurance.
  • $70/day DoorDash credit for breakfast, lunch, dinner, and snacks.
  • $200/month wellness reimbursement.
  • $300/month commuter reimbursement.
  • $75/month phone bill reimbursement.
  • $50/month internet reimbursement.
  • Choice of three cash-equity balance options.
  • Above-market compensation and significant equity.
  • Offers tied to interview performance rather than experience or past salaries.

Skills

PythonTypeScriptAPIsSDKsDistributed Systemsvoice aillm applicationsConversational AIAWSGCPAzuretelephonysiptwilioWebhooks

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