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AI Engineering Intern

💰 $41k-$62k

Job Description

Company

At Actian we believe data should be a competitive advantage. Through the deployment of data technology, underpinned by a relentless and trusted service commitment, we help business critical systems transact and integrate at their very best. As a trusted leader in data management, integration, and analytics, our mission is to helping businesses unlock the full potential of their data to drive better decision-making and innovation wherever it resides — in the cloud, on-premises, or hybrid environments.

With a global team of experts and a culture of innovation, we’re dedicated to helping our customers solve their most complex data challenges.

Internship Overview

We are looking for interns to join us for our 2026 Summer Internship Program! This 12-week program is set to begin June 8th, so if you are looking for an incredible opportunity to partner with the best and brightest minds in the industry, apply today. This program has been designed with our interns in mind and includes structured learning plans, a dedicated buddy, and a focused capstone project that you will have the opportunity to present in our Internship Showcase!

What It’s Like Interning with Us!

  • Intern Events— just because the internship is remote, doesn’t mean we don’t have time for fun! Regular intern events will be hosted throughout your 12-weeks with us!
  • Time with Executives— Interns all get a chance to connect with our executive team through panel discussions, 1:1s, Q&A meetings, and events
  • Workshops — Interns participate in workshops geared towards helping new professionals
  • Opportunity to travel – we will fly you out for onsite orientation at our Austin, Texas office location!

Position Overview

We are seeking a motivated AI Engineering Intern to join our software development team. In this role, you will contribute to the design, development, and deployment of AI-powered applications and tools. Working alongside experienced engineers, you’ll gain hands-on experience building production-quality software that integrates machine learning models into real-world products and services.

Responsibilities:

  • Develop, test, and maintain software components that integrate AI/ML models into applications, APIs, and internal tools.
  • Write clean, well-documented code and participate in code reviews to uphold team quality standards.
  • Collaborate with cross-functional teams — including data scientists, product managers, and senior engineers — to translate project requirements into technical solutions.
  • Assist in building and improving data pipelines, model-serving infrastructure, and evaluation frameworks.
  • Troubleshoot and debug issues across the software stack, from backend services to model integration layers.

Nice to Haves:

  • Familiarity with Python and at least one additional programming language such as Java, C++, or TypeScript.
  • Exposure to agentic AI frameworks, such as Langchain
  • Exposure to machine learning frameworks or experience working with LLM APIs.
  • Prior internship, project, or coursework experience involving full-stack development, cloud platforms (AWS, GCP, Azure), or containerization tools like Docker.
  • Strong problem-solving skills and a genuine curiosity about how AI systems are built and deployed at scale.

Requirements:

  • Must be actively enrolled in a college degree program
  • Must be legally authorized to work in the United States

$20 - $30 an hour

We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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