Paid internships, student projects, and engineering cohorts.
Start your technical journey in Full-Stack Development, AI Applications, or Software Testing. We welcome university students, recent graduates, self-taught builders, and career switchers from all academic disciplines.
A computer science degree is not required. We look for curiosity, problem-solving, and a dedication to craft.
Flexible schedules aligned with academic semester commitments.
Direct Engineer Mentorship
Hands-on code reviews, architecture discussions, and production best practices.
Active internship opportunities
Review the starting skills and responsibilities below, then submit your application directly online.
Paid internship · Hybrid
Full-Stack Development Intern
Build practical web features across frontend and backend systems.
20 hours/week · Stipend and duration discussed individually
View opportunity
What you’ll work on
Responsive user interfaces
Backend APIs and database integration
Authentication and application workflows
Debugging, testing, and technical documentation
Git-based collaboration and code reviews
Starting skills
Basic HTML, CSS, JavaScript, and familiarity with a programming language. Personal or academic projects are welcome.
Expected commitment: 20 hours per week. Schedule and onsite arrangements are discussed during selection.
Paid internship · Hybrid
AI Application Development Intern
Help build applications that turn AI capabilities into useful product experiences.
20 hours/week · Stipend and duration discussed individually
View opportunity
What you’ll work on
Python-based application features
AI model and API integrations
Document processing and retrieval workflows
Prompt development and response evaluation
Testing, debugging, and documenting AI features
Starting skills
Basic Python, familiarity with APIs, and an interest in AI applications. Prior AI projects are helpful but not compulsory.
Expected commitment: 20 hours per week. Schedule and onsite arrangements are discussed during selection.
Paid internship · Hybrid
Software Testing / QA Intern
Help improve software quality by finding problems and making features more reliable.
20 hours/week · Stipend and duration discussed individually
View opportunity
What you’ll work on
Test scenarios and test cases
Manual testing of web applications
Clear, reproducible bug reports
API testing and regression testing
Test automation as your skills develop
Starting skills
Logical thinking, attention to detail, and clear communication. Basic knowledge of software testing is helpful.
Expected commitment: 20 hours per week. Schedule and onsite arrangements are discussed during selection.
Student opportunities & college project collaboration
We collaborate with university students, final-year engineering candidates, and college departments on real-world modular software capstones. Work on production-grade architecture, receive mentor reviews, and earn verifiable completion documentation.
Academic Capstone
Final-Year Project & Capstone Collaboration
Collaborate with QueueGenAI engineers on real-world modular software projects. Designed for 3rd and 4th-year engineering, MCA, and MSc students.
Core Focus Areas
Modern web application architecture with Next.js, React, and TypeScript
Secure backend API endpoints and relational data schemas
Document workflow systems with cryptographic verification
Automated testing suites and continuous integration
Format: Remote or hybrid · Aligned with college semester requirements
Applied AI Track
Applied AI & Automation Research Projects
Hands-on project work applying AI models, document processing, and intelligent pipelines to real operational workflows.
Core Focus Areas
Document data extraction and schema-validated entity parsing
Source-grounded question-answering with citation verification
Context retrieval, embeddings, and prompt evaluation systems
Latency optimization and deterministic fallback handling
Deliverables: Co-mentored technical architecture, benchmark evaluation, and code review.
Format: Guided project track · 8 to 16 weeks duration
Academy & guided training programs
Structured, exercise-driven cohorts currently in development. Our engineers build production software every day; our academy programs translate those exact production workflows into guided learning.
Planned Cohort
Production Full-Stack Engineering
Moving beyond tutorials to build, test, and ship resilient production web applications with clean architecture.
Curriculum Topics
Next.js App Router, Server Components & state isolation
Relational data modeling, migrations & API contracts
Format & Approach: Exercise-driven curriculum with direct code reviews from working software engineers.
Planned Cohort
Applied AI & Workflow Automation
Building practical AI features that solve actual operational problems with source grounding and human review.
Curriculum Topics
AI APIs, structured outputs & schema validation
Document ingestion, OCR & contextual chunking
Retrieval-augmented workflows & verification
Production monitoring, guardrails & token economics
Format & Approach: Code-first project modules with real-world enterprise workflow scenarios.
Open Interest
Express Your Interest
Don’t see an exact opening or looking for custom college project collaboration? Share your details and what you want to learn or build with our engineering team.
Who can apply?
Students from any academic discipline, recent graduates, self-taught developers, and career switchers are welcome. Meet the starting requirements of your chosen role and be ready to explain your work and thinking.
What you can expect
Compensation recorded in your formal offer before you start
Defined responsibilities and practical, production-level project work
Direct collaboration, PR reviews, and feedback from our engineering team
Opportunities to strengthen technical, architectural, and communication skills
Hiring Pipeline
Our selection process
A transparent, 5-stage progression focused on your technical approach.
01
Apply
Tell us about your skills, interests, and availability. Share a resume, project, or portfolio link if you have one.
5-10 min online
02
Skills review
We review the practical requirements of your chosen role, not your college degree discipline.
48h turnaround
03
Practical assessment
Complete a short, role-relevant task to demonstrate your approach and current technical skills.
Hands-on task
04
Interview
Discuss your work, explain your architectural decisions, and meet our engineering team.
Engineering chat
05
Selection & offer
Selected applicants receive an offer covering compensation, responsibilities, duration, and working arrangements.
Clear terms
A fair opportunity to apply.
No application or selection fee. No requirement to purchase any course or training. No preference based on course enrollment.
Selection is strictly through practical skills assessments and interviews. Employment after an internship is considered based on performance and openings, but is not guaranteed.
Frequently asked questions
Can I apply without a computer science degree?
Yes. Applicants from all academic backgrounds are welcome, provided they meet the starting requirements of the role.
Do I need previous work experience?
Previous employment is not required. You can demonstrate your skills through personal projects, academic work, practice exercises, or the assessment.
Are the internships paid?
Yes. All formal internship roles at QueueGenAI Technologies are paid. The stipend and duration are discussed individually and recorded in your offer before you accept.
Do I need a portfolio or GitHub profile?
Not necessarily. If you do not have one, describe something you have built, tested, or learned. Resume and portfolio links are optional.
Can college students collaborate on final-year projects with QueueGenAI?
Yes. We collaborate with undergraduate and postgraduate students on scoped capstones and academic projects where students build real-world engineering modules with mentor code review.
Are the Academy cohorts currently open for enrollment?
Academy programs are currently in development. We focus strictly on hands-on production engineering rather than generic video tutorials. You can express interest to be notified when syllabus details and cohort dates are announced.
Is there any application fee or course purchase required to apply?
Never. There are zero application fees, zero screening charges, and no requirement to purchase any course or training. Selection is purely merit-based through practical assessments and interviews.
Can an internship lead to a full-time role?
Future employment may be considered based on performance, business needs, and available positions. It is not guaranteed.
