Prompt Engineering Internship
The Prompt Engineering Internship at Skilleze Technologies in Nagpur offers focused engineering work experience designing, structuring, evaluating, and optimizing complex prompts for large language models. Interns build reusable prompt libraries, systematic evaluation test suites, and structured JSON output frameworks for business, coding, research, and marketing applications.
Eligibility & Technical Prerequisites
Basic familiarity with AI tools (ChatGPT, Claude), clear analytical writing skills, and logical problem decomposition.
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:
Analyzing hallucination triggers, token constraints, system vs user instructions, and prompt structure fundamentals.
Systematic role definition, strict negative constraints, formatting rules, and guaranteed JSON schema responses.
Few-shot exemplar design, chain-of-thought decomposition, step-by-step reasoning, and domain adaptations.
Testing prompts across model variants, tracking failure rates, building reusable libraries, and project defense.
Build a validated, production-ready enterprise prompt library containing specialized templates for technical code review, legal contract summarization, market intelligence, and structured data extraction.
- Curated library of 25+ structured, versioned prompt templates
- Test suite evaluating prompt consistency across GPT-4o, Claude 3.5, and Gemini
- JSON schema validator ensuring 100% structured API output compliance
- Evaluation benchmark report documenting edge cases and hallucination mitigations
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 Prompt Engineering Internship
Select 1, 3, or 6 months. Live production projects, senior mentorship, and verifiable GitHub code proof.