INTERNSHIP DETAILS

Generative AI Engineering Intern

CompanyTractian
LocationAtlanta
Work ModeOn Site
PostedOctober 1, 2026
Internship Information
Core Responsibilities
You will build backend components to connect LLMs with data sources and APIs while implementing retrieval-augmented generation workflows. Additionally, you will write tests, debug performance issues, and collaborate with product teams on system deployment and monitoring.
Internship Type
intern
Company Size
881
Visa Sponsorship
No
Language
English
Working Hours
40 hours
Apply Now →

You'll be redirected to
the company's application page

About The Company
Tractian provides asset intelligence solutions that combine hardware sensors and AI software to monitor machine health in real time, so industrial teams can catch failures before they happen, prioritize what matters, and act with confidence. Our approach is built on physical AI: sensors deployed directly on critical assets, feeding AI models trained on data from the largest industrial database available. The result is asset intelligence that goes beyond alerts, telling you what's wrong, why, and what to do next before a failure becomes a breakdown. Trusted by 1,500+ manufacturers across the Americas - including McKesson, Air Liquide, Verizon, Cummins, Ingredion, and Whirlpool - Tractian has returned $304M to customers through earlier failure detection and helped teams avoid 97,631 hours of downtime. Tractian was named to the Forbes AI 50 and ranked #24 Fastest-Growing Company in North America on the Deloitte Technology Fast 500™. A smarter way to monitor, prioritize, and act. Learn more at tractian.com.
About the Role
Why Join Us
Tractian combines hardware, software and AI to help industrial teams detect equipment problems early and prevent costly downtime. Our technology supports more than 1,200 facilities, with over 100,000 sensors deployed globally. A Y Combinator company, we’ve been recognized on the Forbes AI 50, named a G2 Leader and ranked No. 24 on Deloitte’s Technology Fast 500 in North America. We’re building technology that keeps industry running and looking for people who want to help shape what comes next.

Generative AI at Tractian
Our engineers build and improve applications powered by large language models (LLMs). The work combines retrieval-augmented generation (RAG), API integration and backend engineering, with a focus on testing, scalability and reliable performance.

What You Will Do
Work with our engineering team to develop and improve an AI application. You’ll help connect models with data and APIs, test functionality and troubleshoot issues that affect performance and reliability.

Responsibilities
  • Build backend components that connect LLMs with data sources and APIs.
  • Help implement and improve retrieval-augmented generation (RAG) workflows.
  • Write tests, debug failures and improve application performance and reliability.
  • Collaborate with software and product teams to support integration, deployment and system monitoring.

Requirements
  • Pursuing or recently completed a bachelor’s, master’s or PhD in Computer Science, AI, Data Science, Engineering or a related technical field.
  • Strong programming skills and experience building and debugging backend applications with APIs, databases and Git.
  • A working LLM project you can explain, including your contribution, technical decisions and testing approach. Coursework, research and independent projects are welcome.
  • Understanding of retrieval-augmented generation (RAG) and how to connect language models with external data.

Helpful Experience
Experience with TypeScript or Go, vector databases, PyTorch, Docker or cloud deployment. Familiarity with LLM inference or model optimization is a plus.

What You Will Gain
  • Hands-on experience building LLM applications with RAG and API integrations.
  • Engineering mentorship on backend development, testing and system reliability.
  • Exposure to how AI applications are deployed, monitored and maintained.

Key Skills
Generative AILarge Language ModelsRAGAPI IntegrationBackend EngineeringTypeScriptGoVector DatabasesPyTorchDockerCloud DeploymentGitDatabase ManagementSoftware TestingDebugging
Categories
TechnologySoftwareEngineeringData & Analytics
Benefits
Engineering mentorshipHands-on experience