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Unpaid Back-end Programmer Intern Python and AI

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Unpaid Back-end Programmer Intern Python and AI

ReadyChatAI LLC

ReadyChatAI LLC

Salary: Gross salary $100
Type: Full time

Tags: Python Git REST API JSON

Company: ReadyChatAI LLC — Automating social media with ChatGPT and LLM.

About the project: This internship sits at the intersection of backend development, AI tooling, and data-driven product iteration. You will contribute to building scalable Python-based services that power AI-enabled features for social media automation, analytics, and internal tooling. You will partner with data analysts and product teams to ship reliable backend components that handle data ingestion, processing, and integration with AI models.

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Job functions

  • Develop and maintain backend services using Django and Python.
  • Integrate and experiment with AI frameworks such as LangChain to support chatbot and automation workflows.
  • Work with LLM APIs (OpenAI, Anthropic, etc.) to design and implement AI-driven features.
  • Collaborate with the frontend team to design APIs and support end-to-end functionality.
  • Participate in code reviews, testing, and debugging to improve code quality.
  • Research and prototype new AI capabilities for real-world applications.

Qualifications and requirements

  • Strong foundation in Python programming.
  • Basic experience with Django (models, views, serializers, REST API).
  • Understanding of RESTful APIs and JSON.
  • Curiosity and willingness to learn AI frameworks like LangChain.
  • Familiarity with Git and version control workflows.
  • Clear written and verbal communication in English.

Desirable skills

  • Prior experience with LangChain, LLM APIs (OpenAI, Hugging Face, etc.), or chatbot frameworks.
  • Knowledge of databases (PostgreSQL, MySQL) and query optimization.
  • Familiarity with cloud platforms (AWS, GCP, or Azure).
  • Interest in AI/ML research, prompt engineering, or vector databases.

Benefits

Real-world experience using Power BI in a high-growth startup. Mentorship and guidance on data analysis and storytelling. Visibility into how analytics supports product development, marketing, and operations. The opportunity to make a measurable impact with your work.

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Source: GetOnBoard | Main Category: Other