AI Engineer Intern, Database Performance Knowledge
Role summary
Actian is seeking AI Engineer Interns for its 2026 Summer Internship Program. This 12-week remote program, starting June 8th, offers structured learning, a dedicated buddy, and a capstone project. Interns will engage in virtual events, connect with executives, and participate in workshops. The role involves creating a RAG pipeline to gather system performance and administrative data for optimizing HCL Informix Database Server configurations. Responsibilities include configuring chat clients, developing tools for metric capture, building vectorized knowledge bases, and implementing the RAG workflow using Actian's technologies. The internship is hybrid, with an onsite orientation in Austin, Texas.
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 8 th
, 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
The position is to create a Results Augmented Generation (RAG) pipeline that can obtain system performance information, and relevant administrative documents for use by the LLM to recommend changes to the HCL Informix Database Server configuration.
Responsibilities:
- Configure a chat client (VSCode) to interact with the configured MCP Server(s)
- Create new MCP Tools to capture needed metrics from the running server
- Create a database with vectorized Knowledge Base documents using the HCL Vector blade for HCL Informix,
- Implement the RAG workflow using the HCL Informix database, Actian MCP for HCL Informix, and the Actian HCL Vector Blade for HCL Informix.
Nice to Haves:
- Python Experience required
- RAG pipeline experience recommended
- VSCode experience recommended
- MCP concepts
- SQL recommended
- AI Course work
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.