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Actian

AI Engineer Intern, Database Performance Knowledge

Sorry, this job was removed at 06:17 p.m. (PST) on Thursday, May 21, 2026
Remote
Hiring Remotely in US
Remote
Hiring Remotely in US

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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

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

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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