[Hiring] Generative AI Engineering Intern @Tractian

Role Description

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.

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 Python 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.
• Experience using LLM-powered tools within IDEs and development workflows to write, debug and test code, including reviewing and validating generated code.

Requirements

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

Benefits

• 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.