Senior AI Software Engineer

Company: Hobbsnews
Location: Salt Lake City
Posted on: June 1, 2025

Job Description:

Company: CaptionCall, LLCJob Title: Senior AI Software EngineerHeadquarter 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 . 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:

• Deploy web applications and backend microservices in the JavaScript programming language hosted on Amazon Web Services (AWS).
  • Deploy Automatic Speech Recognition (ASR) and other graphics processing unit (GPU)-based Machine Learning (ML) and Artificial Intelligence (AI) models to AWS cloud-based production Application Programming Interfaces (APIs).
  • Design, implement, and deploy GPU-based microservice-based applications and APIs including REST, WebSocket, and gRPC.
  • Design and implement high volume microservice data pipelines for real-time training of streaming AI models.
  • Design and implement automated testing pipelines including writing unit tests using PyTest and JUnit, end-to-end tests, load tests using Locust, and A/B testing using LaunchDarkly.
  • Design, implement, and optimize highly concurrent (multi-threaded and/or multi-process) object-oriented software libraries in the Java programming language.
  • DevOps fundamentals including writing Infrastructure as Code Terraform scripts to deploy AWS services including VPC, subnets, security groups, NAT gateways, ECS, EKS, API Gateway, and Lambda.
  • Design and implement API user authentication solutions using Auth0 and OAuth2.
  • Design and build automatic Continuous Integration and Continuous Deployment (CI/CD) pipelines using GitHub Actions, Python scripts, and Linux operating system shell scripts.
  • Decompose large projects and bug fixes into sprint goals and plan and track software releases and bugs/issues using Jira and GitHub.
  • Develop Dockerfiles and deliver Docker images.
  • Design and develop AWS monitoring tools using CloudWatch and Dynatrace dashboards to monitor software service health and performance.
  • Deploy and maintain the stability of private (on-premises) and public cloud infrastructure for Kubernetes cluster based microservices.
  • Collaborate with the Security Team and use security fundamentals and best practices to ensure environments and resources meet the company's minimum-security requirements.
    • Design, implement, and manage both SQL and NoSQL databases.Education: Master's degree in Computer Science, Computer Engineering, or related field.Experience: 5 years of experience as a Software Engineer or closely related occupation.Special Requirements (Skill Set):Demonstrable knowledge of and prior experience in:
      • Deploying GPU-based ML models to AWS cloud-based production systems.
      • Python, Java, and JavaScript programming languages.
      • Object-oriented software design and implementation.
      • Private (on-premises) and public cloud infrastructure.
      • Security fundamentals and best practices.
      • Amazon Web Services (AWS)
      • User Authentication using Auth0
      • Linux operating system shell scripts.
      • GPU based microservice design.
      • High-volume real-time, streaming microservice system design.
      • Developing Dockerfiles and delivering Docker images.
      • Plan and track software release and bugs/issues using Jira and GitHub.
      • Writing: testable code, unit tests using PyTest and JUnit, end-to-end tests, load tests using Locust, and A/B test using LaunchDarkly.
      • Designing and building automatic CI/CD pipelines using GitHub Actions, Python scripts, and Linux operating system shell scripts.
      • Designing, implementing, and managing both SQL and NoSQL databases.
      • DevOps fundamentals including writing Infrastructure as Code scripts using Terraform.
      • AWS networking infrastructure, including VPC, subnets, security groups, route tables, and NAT gateway.
      • AWS CloudWatch and Dynatrace dashboard monitoring tools.
      • Deploying ASR and other GPU-based ML and AI models to AWS cloud-based APIs.Travel Requirements: No travel requirements.Work Hours: 8:00 am - 5:00 pm, Monday - Friday.QualificationsEqual Opportunity Employer/Protected Veterans/Individuals with Disabilities
        This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the notice from the Department of Labor.
        #J-18808-Ljbffr

Keywords: Hobbsnews, Draper , Senior AI Software Engineer, IT / Software / Systems , Salt Lake City, Utah