AI Connector Engineer - Intern

American Fork, Utah

Domo

Strengthen your entire data journey with Domo’s AI and data products. Connect and move data from any source, prepare and expand data access for exploration, and accelerate business-critical insights.

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COMPANY OVERVIEW

Domo's AI and Data Products Platform lets people channel AI and data into innovative uses that deliver a measurable impact. Anyone can use Domo to prepare, analyze, visualize, automate, and build data products that are amplified by AI.

POSITION SUMMARY

This role is required to be in office 5 days a week.

We are seeking a motivated Software Engineer Intern to join our team and contribute to integrating the Domo analytics platform with external Machine Learning (ML) models and Large Language Models (LLMs). This internship offers a unique opportunity to work at the intersection of data engineering, AI, and business intelligence, helping enhance our analytics capabilities with AI-driven insights.

KEY RESPONSIBILITIES

  • Develop and implement APIs to connect Domo with external ML models and LLMs.
  • Work with data pipelines, ensuring seamless data transfer between Domo and AI-driven services.
  • Collaborate with data scientists and engineers to optimize model performance and integration.
  • Assist in automating workflows for real-time data processing and analysis.
  • Troubleshoot and optimize performance, ensuring scalable and efficient integration.
  • Document technical processes, ensuring maintainability and knowledge sharing.
  • Software development experience (internship experience ok) and coursework in development areas such as algorithms, databases, and distributed systems;
  • Help with the design and development of Domo’s data analysis platform;
  • Work with other engineering teams to optimize the usage and efficiency of Domo’s data analysis platform;
  • Help develop methods and tools to monitor the performance and reliability of Domo’s data analysis platform.

JOB REQUIREMENTS

  • Software development experience (internship experience ok) and coursework in web technologies such as HTML/CSS, Java, JavaScript, and Python;
  • Demonstrated aptitude for learning new technologies;
  • Ability to communicate and interface with technical and non-technical members of the organization;
  • Capable of learning and understanding complex concepts quickly;
  • Working on a College degree in Computer Science, Information Systems, or related field and/or equivalent combination of experience and education.

LOCATION: American Fork, UT

Domo is an equal opportunity employer.

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Tags: APIs Business Intelligence Computer Science Data analysis Data pipelines Distributed Systems Engineering Java JavaScript LLMs Machine Learning ML models Pipelines Python

Region: North America
Country: United States

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