Senior AI Software Engineer

Sorenson Communications; Salt Lake City (UT); Remote; USD 100,000 - 130,000; Full time

Job summary

A leading telecommunications company is seeking a Senior AI Software Engineer to develop and deploy GPU-based ML models and web applications. This fully remote position requires expertise in AWS, JavaScript, and microservices. Join a dynamic team focused on cutting-edge technology and innovation.

Qualifications

• 5 years as a Software Engineer or closely related role.

Responsibilities

• Deploy web applications and backend microservices in JavaScript hosted on AWS.
• Design, implement, and deploy GPU microservice applications and APIs.
• Build CI/CD pipelines using GitHub Actions and scripts.

Skills

GPU-based ML deployment on AWS

Python

Java

JavaScript

Object-oriented design

Cloud infrastructure

Security best practices

User Authentication

Linux shell scripting

Microservice design

Docker

CI/CD

monitoring tools

Databases

Education

Master’s degree in Computer Science

Job description

Join to apply for the Senior AI Software Engineer role at Sorenson Communications

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Company: CaptionCall, LLC

Job Title: Senior AI Software Engineer

Headquarter address: 4192 S. Riverboat Road, Salt Lake City, UT 84123.

Worksite address: Position is fully remote. Work from home benefit available.

To Apply: Please apply online at https://sorenson.com/company/careers/. Only qualified applicants should apply. Must have U.S. employment authorization. Do not apply if you are in F-1 or H-1 status or otherwise require employer sponsorship for U.S. employment authorization.

Job Duties:

1. Deploy web applications and backend microservices in JavaScript hosted on AWS.
2. Deploy GPU-based ML and AI models to AWS cloud APIs.
3. Design, implement, and deploy GPU microservice applications and APIs including REST, WebSocket, and gRPC.
4. Create high-volume data pipelines for real-time AI model training.
5. Develop automated testing pipelines with unit, end-to-end, load, and A/B tests.
6. Build highly concurrent Java software libraries.
7. Implement DevOps practices, including Infrastructure as Code with Terraform for AWS services.
8. Design API authentication solutions with Auth0 and OAuth2.
9. Build CI/CD pipelines using GitHub Actions and scripts.
10. Manage software releases and bugs with Jira and GitHub.
11. Create Docker images and Dockerfiles.
12. Develop AWS monitoring tools with CloudWatch and Dynatrace.
13. Maintain cloud and on-premises Kubernetes infrastructure.
14. Collaborate with Security Team to meet security standards.
15. Manage SQL and NoSQL databases.

Education:

Master’s degree in Computer Science, Computer Engineering, or related field.

Experience:

5 years as a Software Engineer or closely related role.

Skills:

• GPU-based ML deployment on AWS
• Python, Java, JavaScript
• Object-oriented design
• Cloud infrastructure (AWS, on-premises)
• Security best practices
• User Authentication (Auth0, OAuth2)
• Linux shell scripting
• Microservice design, Docker, CI/CD, monitoring tools
• Databases (SQL and NoSQL)

Additional info:

No travel required. Work hours: 8:00 am – 5:00 pm, Mon-Fri. Seniority level: Mid-Senior. Employment type: Full-time. Industry: Telecommunications.