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