Python & Applied AI Internship
boastitup
RemoteFresher1h agovia Unstop
About the Company
boastitup builds practical, business-focused solutions integrating marketing analytics, automation, data processing, and applied artificial intelligence. This internship offers the opportunity to work on meaningful prototypes and contribute to product-oriented initiatives involving intelligent workflows and emerging AI technologies.
Key Responsibilities
- Develop Python scripts for data extraction, processing, analysis, and workflow automation.
- Collect, clean, and structure information using APIs, web scraping, and third-party integrations.
- Apply NLP, sentiment analysis, clustering, and customer segmentation techniques to marketing and customer data.
- Create automated technical SEO audits, monitoring workflows, and analytical tools.
- Experiment with large language models, generative AI applications, and agent-based systems using tools such as LangGraph and Pydantic AI.
- Test, debug, and evaluate AI outputs for quality, accuracy, and reliability.
- Work with marketing and product teams to translate business needs into functional prototypes.
Requirements & Tech Stack
- Working knowledge of Python and libraries such as pandas.
- Understanding of APIs, JSON, and foundational data-processing concepts.
- Familiarity with Git, debugging, and basic software development practices.
- Basic understanding of machine learning, NLP, or generative AI.
- Strong interest in LLMs, AI agents, automation, and emerging AI technologies.
- Strong problem-solving ability, curiosity, and willingness to experiment.
- Exposure to LangChain, LangGraph, Pydantic AI, OpenAI APIs, SEO, web crawling, or digital marketing analytics is an advantage but not mandatory.
This is a remote, full-time internship for 3 months with a monthly stipend of ₹12,000 and a potential job offer based on performance.
Interns will gain practical exposure to Python development, generative AI, prompt engineering, agent orchestration, data analytics, workflow automation, and production-oriented AI engineering.