Python Developer Intern

TechFlow, Inc.
Remote

About The Position

TechFlow has an immediate opportunity for a remote Python Developer Intern to assist in building and improving workflows to automate various company processes within an AI tool. In this role, you will work closely with our development team to help design, implement, and optimize solutions using Python. This is a great opportunity to gain hands-on experience with Python, AI technologies, and workflow automation in a real-world setting. Here at TechFlow, we are a company of individuals who work hard to have an impact, care about the future, and want to make a difference. The ideal candidate for our team is driven to learn and passionate about developing a career in the ever evolving technology space. This internship will have a 3-month duration.

Requirements

  • Actively pursuing a degree in Computer Science, Data Science, Information Systems, or a related field with at least one year of completed coursework.
  • Solid understanding of Python programming and API usage.
  • Familiarity with basic AI concepts and tools is a plus.
  • Experience or coursework related to data manipulation, APIs, or automation tools is beneficial.
  • Strong analytical, problem-solving, and debugging skills.
  • Excellent communication and teamwork skills.
  • Ability to manage time effectively and work independently when required.

Nice To Haves

  • Any experience with AI technologies (such as machine learning, natural language processing, etc.).
  • Familiarity with cloud services (AWS, GCP, etc.), APIs or other relevant platforms and services.
  • Understanding of databases, data structures, algorithms, and software development principles.
  • Understanding of data scrapers, AI tool use or MCP servers.

Responsibilities

  • Collaborate with the CTO and users to design and implement Python-based solutions for automating business processes.
  • Develop and integrate efficient workflows to enhance the functionality of the AI tool.
  • Write clean, maintainable, and efficient Python code.
  • Troubleshoot and debug issues within workflows or automation processes.
  • Assist with testing and validating the accuracy and efficiency of new features and tools.
  • Participate in project team meetings and provide insights on automation opportunities.
  • Continuously improve workflows and processes based on feedback and performance data.
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