Generative AI Engineer Intern: Build LLM‑Powered Apps

Jobs in JS

Atlanta (GA)

On-site

USD 110,000 - 170,000

Full time

4 days ago
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Job summary

Tractian is building AI-powered industrial software. The team develops backend components that connect LLMs with data sources and APIs, focusing on RAG workflows and reliable performance. You will test, debug and improve scalability while collaborating with product teams to support deployment and monitoring.

The role emphasizes hands-on experience with LLM-driven data integration, API design, and cloud deployment in a fast-growing environment.

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
LLM concepts

Education

Bachelor’s degree in Computer Science, AI, Data Science, Engineering or related field

Tools

Python
TypeScript
Go
Docker
PyTorch
Vector databases
Cloud deployment

Job description

Tractian is building AI-powered industrial software. The team develops backend components that connect LLMs with data sources and APIs, focusing on RAG workflows and reliable performance. You will test, debug and improve scalability while collaborating with product teams to support deployment and monitoring.

The role emphasizes hands-on experience with LLM-driven data integration, API design, and cloud deployment in a fast-growing environment.

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