Frontline AI Engineer Intern — Build & Deploy Real Solutions

Retell AI

San Francisco (CA)

On-site

USD 34,000 - 55,000

Part time

6 days ago
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Job summary

Retell AI is seeking a Forward Deployed Engineer Intern to work directly with customers and our engineering team in the San Francisco Bay Area. You will help build, test, and deploy AI voice solutions for real-world use cases and troubleshoot production issues, working closely with customers to ensure reliable outcomes.

This internship is hands-on, not a side project. You’ll ship code, deploy solutions, and bring customer learnings back into the product to improve the platform for real

Qualifications

  • Pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
  • Experience programming in Python, TypeScript, JavaScript, or a similar language.
  • Interested in AI and want to work on systems that are actually used by customers.

Responsibilities

  • Build & Deploy: Build and deploy technical solutions for real customer use cases.
  • Work with Customers: Join customer calls, understand their problems, and help turn those problems into technical solutions.
  • Solve Problems: Debug issues across APIs, integrations, data, and AI systems.
  • Ship Quickly: Write code, test solutions, and get them into production.
  • Improve the Product: Identify patterns across deployments and work with engineering to turn them into product improvements.
  • Own Projects: Take projects from an initial customer problem through deployment and iteration.

Skills

Python
TypeScript
JavaScript

Education

Bachelor’s or Master’s degree in CS/CE/EE

Job description

Retell AI is seeking a Forward Deployed Engineer Intern to work directly with customers and our engineering team in the San Francisco Bay Area. You will help build, test, and deploy AI voice solutions for real-world use cases and troubleshoot production issues, working closely with customers to ensure reliable outcomes.

This internship is hands-on, not a side project. You’ll ship code, deploy solutions, and bring customer learnings back into the product to improve the platform for real

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