Job Title: AI Intern
Experience: 0-1 year
Location: Remote
Role Type: Internship | Applied AI + Prototyping

About Productize Tech:

Productize Tech builds AI-powered digital products and engineering solutions across generative AI, analytics, computer vision, Edge AI, and product platforms. We work with clients across multiple industries and help them move from experimentation to production-ready outcomes.

Role Overview:

We are looking for an AI Intern who is curious, hands-on, and excited to learn by building. You will work alongside engineers and AI specialists on prototypes, prompt workflows, data preparation, and internal experimentation across LLM and machine learning use cases. This role is ideal for someone who wants practical exposure to applied AI delivery.

Key Responsibilities:

• Assist in building and testing AI and LLM-based workflows
• Support prompt design, evaluation, and experimentation tasks
• Help prepare datasets, clean structured and unstructured data, and document findings
• Contribute to internal proofs of concept across NLP, computer vision, or predictive analytics
• Research tools, frameworks, and techniques relevant to project needs
• Collaborate with mentors to summarize outcomes and suggest improvements

Required Skills and Qualifications:

• Strong interest in AI, machine learning, LLMs, or data-driven products
• Basic understanding of Python and common ML or data libraries
• Familiarity with prompts, APIs, notebooks, or model experimentation workflows
• Good written communication and comfort documenting observations clearly
• Eagerness to learn quickly and take ownership of assigned tasks

Good to have:

• Exposure to LangChain, vector databases, OpenAI APIs, Hugging Face, or similar tools
• Basic experience with Git, Jupyter notebooks, or cloud environments
• Understanding of evaluation concepts, embeddings, or fine-tuning fundamentals

What you’ll love here:

• Real exposure to AI delivery work instead of purely academic exercises
• Mentorship from engineers and specialists working on practical AI systems
• Opportunity to contribute to experiments that shape client solutions
• Remote-first work environment with strong learning focus

Why Join Us:

• Fast learning curve with hands-on project support
• Opportunity to build a strong applied AI foundation
• Collaborative and supportive engineering culture
• Exposure to real-world AI product and services work