T Hub - Full Stack Developer Intern – AI-Powered Business Process Automation (6 months internship)

About the Team

Our team focuses on transforming business processes through Artificial Intelligence, automation, and cloud technologies. We design and develop AI-powered solutions that help organizations automate manual tasks, streamline workflows, improve employee productivity, and unlock value from business data.

We leverage modern technologies including Generative AI, Large Language Models (LLMs) and custom web applications to deliver intelligent automation solutions across various business functions.

About the Role

We are looking for a motivated Full Stack Developer Intern who is passionate about software development and excited about the practical application of Artificial Intelligence in business environments.

Your responsibilities

• You will work closely with software developers and AI engineers to develop applications and intelligent automation solutions that solve real business challenges.

• Support the development of web applications used for AI-powered business process automation.

• Build and maintain frontend and backend components for automation solutions.

• Develop APIs and integrations between enterprise systems and AI services.

• Assist in integrating Large Language Models (LLMs) and Generative AI capabilities into applications and workflows.

• Work with data, documents, and business systems to enable intelligent process automation.

• Contribute to testing, troubleshooting, and technical documentation.

• Collaborate with engineers, analysts, and business stakeholders in an Agile environment.

Our requirements

• Bachelor's degree (BSc/BEng) in Computer Science, Software Engineering, Data Science, Information Technology, or a related field.

• Basic knowledge of JavaScript or TypeScript.

• Familiarity with React or another modern frontend framework.

• Basic understanding of backend development using Node.js, Python, or similar technologies.

• Basic knowledge of SQL and databases.

• Familiarity with Git.

• Strong analytical and problem-solving skills.

• Good written and verbal communication skills in English.

• Knowledge of Python.

• Understanding of Machine Learning, Generative AI, LLMs, or Prompt Engineering concepts.

• Familiarity with AI frameworks such as LangChain, LangGraph, OpenAI APIs, or similar technologies.

• Basic knowledge of Google Cloud Platform (GCP).

• Experience with personal, academic, or hackathon projects involving AI or automation.

• Familiarity with Docker and CI/CD concepts.