Generative AI Intern

**Role: Generative AI Intern** **Industry:** Influencer Marketing | Marketing Technology (MarTech) **Location:** Remote (Work from Anywhere) **Duration:** 3–6 Months (Performance-based PPO Opportunity) **About Adfluence Hub** Adfluence Hub is a fast-growing Influencer Marketing and Marketing Technology company helping brands connect with creators through data-driven campaigns and AI-powered solutions. As we expand our AI initiatives, we're looking for passionate individuals eager to build practical AI applications and solve real-world business challenges. **About the Role** We're looking for a curious and motivated **Generative AI Intern** to work on AI-powered products, automation workflows, LLM applications, and internal tools. You'll collaborate with our product and engineering teams to build impactful solutions while gaining hands-on industry experience. **What You'll Do** * Build AI-powered applications using LLMs and AI APIs. * Develop automation workflows and AI agents. * Experiment with prompt engineering and RAG-based solutions. * Integrate AI models with internal products and tools. * Research emerging AI technologies and suggest improvements. * Collaborate with cross-functional teams to ship production-ready features. **Requirements** * Currently pursuing or recently completed a degree in Computer Science, AI, IT, Data Science, or a related field. * Basic understanding of Python and AI fundamentals. * Familiarity with APIs, Git, and databases. * Exposure to OpenAI, Claude, Gemini, LangChain, LlamaIndex, or similar AI frameworks is a plus. * Strong analytical, problem-solving, and communication skills. * Self-driven with a willingness to learn and experiment. **What We Offer** * Hands-on experience building real AI products. * Mentorship from experienced engineers. * Exposure to modern AI tools and technologies. * Fast-paced startup environment with significant learning opportunities. * Performance-based PPO for exceptional interns. **Selection Process** 1. HR Screening 2. Technical Assessment/Assignment 3. Technical Interview 4. Final Discussion