Generative AI Internship
The Generative AI Internship at Skilleze Technologies in Nagpur offers specialized engineering work experience building production LLM applications, enterprise document assistants, vector search engines, and RAG pipelines. Interns master token economics, context window management, structured JSON outputs, and semantic retrieval systems under senior engineer mentorship.
Eligibility & Technical Prerequisites
Python proficiency, experience with REST APIs, understanding of vector representations, and basic data processing.
Select Internship Duration
Choose your internship duration pathway to inspect the corresponding technical learning plan, project brief, and deliverables. Course duration remains independent.
1-Month Fast-Track Internship
4-Week Structured Learning Plan:
API integration, system prompts, few-shot examples, temperature tuning, and structured JSON output parsing.
PDF and markdown document ingestion, text chunking strategies, and generating embeddings.
Building vector search queries with ChromaDB and formulating contextual grounded answers.
Streamlit UI development, hallucination checks, test cases, and project presentation.
Build an interactive document question-answering assistant that accepts technical manuals, chunks content into a vector store, and provides accurate answers with exact page citations.
- Document parsing and chunking pipeline script
- ChromaDB vector collection with metadata filtering
- Streamlit web interface with real-time streaming responses
- GitHub repository with documented test queries and evaluation notes
Internship Assessment Framework (100% Total)
Objective grading weights configured for all industrial work experience tracks.
Structured video module completion, lesson checkpoints, and technical knowledge checks.
Hands-on weekly coding exercises, lab submissions, and peer code reviews.
Core production feature delivery, git commits, code architecture, and live deployment.
System architecture diagrams, repository READMEs, API specs, and live project walkthrough.
Comprehensive exit interview with senior engineering lead and technical defense.
Mentorship & Code Review Process
Interns submit pull requests through GitHub and receive detailed code comments from senior engineers within 48 hours. Weekly architecture syncs review code cleanliness, security, and optimization.
Documentation & Final Presentation
Every track requires a comprehensive README, system architecture diagram, and final technical viva defense before an official verifiable Experience Certificate and college NOC credit documents are released.
Apply for the Generative AI Internship
Select 1, 3, or 6 months. Live production projects, senior mentorship, and verifiable GitHub code proof.