Quinn Labs
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Internship

Software Engineering Intern

Hybrid (Holmdel, NJ)InternshipFlexible Hours

Build the Future with AI

This isn't just coding—it's creating intelligent systems that transform businesses. As a Software Engineering Intern at Quinn Labs, you'll work on real AI projects that solve real-world problems for companies in our community.

About the Role

As a Software Engineering Intern at Quinn Labs, you'll be an integral part of our development team, building next-generation AI solutions that make a tangible difference for businesses. We believe in learning by doing, which means you'll get hands-on experience with cutting-edge technologies while working on actual client projects.

What Makes This Role Different

This internship is designed to give you practical experience that most students don't get until their first job:

  • Work on production code that actually gets deployed to clients
  • Collaborate directly with the founding team and senior engineers
  • See how your code translates into business value
  • Experience the full development lifecycle from concept to deployment

Key Responsibilities

  • Digital Workforce Development: Build and deploy custom digital workforce members using frameworks like LangChain, OpenAI API, and Agent-to-Agent (A2A) architectures
  • AI-Assisted Development: Leverage cutting-edge AI coding assistants like Windsurf and Coursor to accelerate development workflows
  • Feature Development: Implement new features that enhance our core AI platform
  • UI/UX Implementation: Create intuitive interfaces that make AI accessible to non-technical users
  • Data Processing: Work with datasets to train and improve AI models
  • Testing & QA: Develop and run tests to ensure reliability and performance
  • Documentation: Create clear documentation for code and user-facing features
  • Technical Research: Explore new technologies and approaches that could benefit our platform

Tech Stack You'll Work With

  • • Python for AI/ML components
  • • JavaScript/TypeScript
  • • React/Next.js for frontend
  • • Node.js for backend services
  • • SQL and NoSQL databases
  • • RESTful and GraphQL APIs
  • • Cloud services (AWS/GCP)

AI Technologies

  • • Natural Language Processing
  • • Computer Vision components
  • • Predictive analytics
  • • Machine Learning pipelines
  • • Data transformation workflows
  • • LLM integrations
  • • AI agent frameworks

Requirements

  • Education: Currently pursuing a degree in Computer Science, Software Engineering, or related field
  • Programming Skills: Proficiency in at least one programming language (Python, JavaScript, or similar)
  • AI Experience: Familiarity with AI frameworks like LangChain, OpenAI API, or experience building digital workforce members is a plus
  • AI Tools: Experience with AI coding assistants like Windsurf, Coursor, GitHub Copilot, or similar tools
  • Web Technologies: Familiarity with HTML, CSS, and modern web frameworks
  • Problem-Solving: Strong analytical and problem-solving abilities
  • Learning Orientation: Eagerness to learn new technologies and apply them in practical settings
  • Collaboration Skills: Ability to work effectively in a team environment and communicate technical concepts
  • Self-Direction: Capability to manage your own tasks and seek help when needed
  • Project Experience: Some previous project work (academic or personal) that demonstrates your coding ability
  • Version Control: Familiarity with Git or similar version control systems

What You'll Learn

Technical Skills

  • • AI agent development with LangChain, OpenAI
  • • AI-assisted coding with modern tools
  • • Production-grade coding practices
  • • Full-stack development experience
  • • Software architecture principles

Professional Skills

  • • Agile development methodologies
  • • Technical communication
  • • Project planning and execution
  • • Client/stakeholder collaboration

What We Offer

  • Real-World Projects: Work on actual client implementations, not academic exercises
  • Competitive Compensation: Paid internship with performance incentives
  • Flexible Schedule: Hybrid work arrangement that respects your academic commitments
  • Technical Mentorship: One-on-one guidance from experienced engineers
  • Startup Experience: See how a growing tech company operates from the inside
  • Portfolio Building: Develop projects you can showcase to future employers
  • Growth Path: Potential for full-time opportunities for exceptional performers

How to Apply

We want to see your passion for technology. To apply, please email the following to brendan@quinnlabs.ai:

  1. Your resume highlighting technical skills and relevant experience
  2. Links to your GitHub/portfolio (if available)
  3. A brief description of a technical project you're proud of and why
  4. A short paragraph on why you're interested in AI technology

Email Subject Line: "Software Engineering Intern Application - [Your Name]"

Apply Now