About Us
At InzpireU, we are on a mission to
amplify human potential
through AI-powered mentorship, learning, and accountability. We believe AI should serve as an enabler of growth—not a replacement for people. As an AI Intern, you will be part of a passionate team building next-gen solutions that combine
AI, data, and human guidance
to transform how individuals and organizations learn, grow, and succeed.
Role Overview
We are seeking a motivated
AI Intern
who is eager to gain hands-on experience in applied AI, product development, and data-driven solutions. You will support the design, development, and testing of AI features across mentorship, learning personalization, and outcome tracking.
This is an excellent opportunity to
learn, experiment, and build
real-world AI applications in a fast-paced startup environment.
Key Responsibilities
Assist in building and fine-tuning AI / ML models (LLMs, recommendation engines, NLP, etc.).
Support integration of AI features into our platform (e.g., Co-Guru, APEX™ assessments, document writers).
Research emerging AI tools and frameworks (e.g., LangChain, OpenAI, Gemini, vector databases) and provide insights for adoption.
Help design conversational AI prompts, workflows, and evaluation strategies.
Work with the engineering team to clean, label, and prepare datasets.
Document experiments, findings, and best practices to build internal AI knowledge.
Collaborate with product managers and mentors to align AI solutions with user needs.
Requirements
Currently pursuing a degree in
Computer Science, AI / ML, Data Science, or related field .
Basic understanding of
Python , ML libraries (TensorFlow, PyTorch, scikit-learn), or LLM frameworks.
Familiarity with
APIs, databases, and cloud services
(AWS / GCP / Azure is a plus).
Strong interest in
Generative AI, NLP, and applied machine learning .
Analytical mindset with eagerness to learn and experiment.
Good communication skills and ability to work in a collaborative, remote-first team.
Preferred (Nice to Have)
Hands-on experience with
LangChain, RAG pipelines, vector databases (Pinecone, Weaviate, FAISS) .
Exposure to
AI ethics, bias mitigation, and responsible AI frameworks .
Prior projects (academic or personal) in
chatbots, recommendation systems, or predictive analytics .
What You’ll Gain
Real-world exposure to
AI product development in a startup environment .
Mentorship from experienced engineers and AI innovators.
Opportunity to contribute to features that directly impact users.
Potential pathway to a
full-time AI Engineer role
upon successful completion.
Intern • Delhi, India