Opportunity brief
boastitup is hiring for Python & Applied AI Intern!
About the Company:
boastitup is building practical, business-focused solutions that bring together 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.
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:
- 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.