Generative AI Developer

We’re looking for an enthusiastic and curious AI Developer Intern who can bridge the gap between data, algorithms, and real-world user experiences. You’ll work on integrating AI features into web-based products—whether that’s text generation, recommendation systems, voice-to-text, or personalized storytelling tools.

This is a hands-on, exploratory role best suited for someone who enjoys experimenting with APIs, fine-tuning models, and building human-centered features using artificial intelligence.

🧠 Key Responsibilities:

Work with LLMs (like OpenAI, Gemini, Cohere, or open-source models) to build intelligent, conversational, or generative features.

Create prompt flows, chat-based systems, and custom tools for personalized storytelling or dynamic content creation.

Fine-tune and embed models for memory recall, tagging, summarization, and more.

Design evaluation pipelines to test and improve prompt quality and model performance.

Assist with data processing (text, media metadata) and manage lightweight ML pipelines.

Explore opportunities in voice-to-text, personalization, and computer vision where applicable.

🔧 Requirements:

Proficiency in Python, with experience in at least one ML/AI framework (Hugging Face Transformers, LangChain, OpenAI API, etc.).

Strong understanding of LLMs, embeddings, prompt engineering, and generative AI workflows.

Familiarity with APIs, data pipelines, or tools like Pinecone, FAISS, or vector databases.

Bonus: Experience with Flask/Django, basic frontend integration, or WebSockets.

Bonus: Experience with text-to-speech, speech-to-text, or multimedia processing.

🚀 What You’ll Gain:

Exposure to production-grade AI integrations.

Creative freedom to explore generative storytelling or personalized AI content features.

Learn how to optimize prompt engineering and model outputs based on UX.

Portfolio-ready work in the booming field of applied AI.

Potential to transition into a core AI role post-internship.

Industries:Computer Software, Information Technology & Services, Program Development

Function: Data Science