Generative AI Engineer Intern — Build LLM Apps & RAG

InternHunt; Atlanta, Northern (GA, KY); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Tractian combines hardware, software and AI to help industrial teams detect equipment problems early and prevent downtime. Our AI-focused team is building applications powered by large language models to connect data and APIs, test performance and ensure reliability.

You will work with engineers to develop and improve an AI application, integrate LLMs with data sources, write tests and troubleshoot issues affecting performance, reliability and deployment.

Qualifications

• 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.
• Understanding of retrieval-augmented generation (RAG) and how to connect language models with external data.

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.

Skills

Backend development

APIs

Databases

Git

RAG

LLMs

TypeScript

Go

Docker

Cloud deployment

PyTorch

Education

Bachelor's degree in Computer Science/related field

Tools

Docker

Git

APIs

Job description

Tractian combines hardware, software and AI to help industrial teams detect equipment problems early and prevent downtime. Our AI-focused team is building applications powered by large language models to connect data and APIs, test performance and ensure reliability.

You will work with engineers to develop and improve an AI application, integrate LLMs with data sources, write tests and troubleshoot issues affecting performance, reliability and deployment.