AI Solution Engineer Intern
About EasyScaleCloud
EasyScaleCloud is an innovative AI-first company specializing in enterprise-facing AI applications and solutions. We help businesses leverage cutting-edge AI technology to transform their operations and accelerate growth across various industries and business domains.
About the Role
We are seeking a motivated AI Developer to build innovative AI products that solve real-world business challenges. In this role, you will work closely with our AI Architect to develop AI applications and products throughout the complete development lifecycle, while conducting strategic research to drive product innovation.
What makes this unique: You'll build enterprise-grade AI solutions based on real client use cases, gaining exposure to cutting-edge AI technology stack while developing both technical and solution engineering skills.
Key Responsibilities
Solution Architecture: Break down complex business requirements into detailed technical specifications and solution designs
Technical Research: Conduct feasibility studies and research optimal AI technologies for enterprise applications
Solution Development: Build end-to-end AI solutions including prototypes, MVPs, and production-ready applications
Integration & Deployment: Implement cloud-based AI solutions and establish deployment pipelines
Technical Documentation: Create solution architecture documents, API documentation, and deployment guides
Required Qualifications
Essential Skills
AI Passion: Genuine enthusiasm for the AI industry with strong self-motivation and problem-solving abilities
Digital Proficiency: Comfortable using basic office software (document editing, file sharing, online collaboration)
Programming Basics: Understanding of fundamental programming concepts and basic command line operations (e.g., navigating folders, writing simple functions)
AI Tool Experience: Hands-on experience using AI assistants (ChatGPT, Claude, Gemini, or similar tools)
Core Personal Attributes
Strong Curiosity: Ability to ask probing questions, think deeply, and explore solutions independently
Clear Communication: Can articulate ideas and requirements in a structured, logical manner
Growth Mindset: Embraces challenges, learns from failures, and maintains a positive attitude when facing obstacles
Eager to Learn: Comfortable learning new technologies and concepts with guidance and resources
Preferred Qualifications
Programming Experience: Prior experience with Python or other programming languages
Version Control: Familiarity with Git/GitHub or other version control systems
Cloud Platforms: Basic understanding of cloud computing concepts (AWS, Azure, GCP)
AI/ML Knowledge: Academic or practical exposure to machine learning and AI concepts
Technical Writing: Experience creating technical documentation or guides
Don't worry if you don't have all the preferred qualifications! Our program is designed to build these technical skills. What matters most is your enthusiasm, learning ability, and willingness to dive deep into AI solution engineering.
What You Will Deliver
Complete AI Solution: A fully functioning enterprise AI solution with end-to-end implementation
Technical Architecture: Comprehensive solution design documentation and system architecture diagrams
Professional Portfolio: GitHub repository showcasing your solution engineering and technical contributions
Deployment Excellence: Cloud-deployed solution with monitoring, scaling, and maintenance capabilities
Eligibility Requirements
πΊπΈ US Citizens and Permanent Residents
β All eligible with no restrictions: High school students, undergraduate students, graduate students, and recent graduates can participate without any visa or work authorization requirements.
π International Students Outside the US
β All eligible with no restrictions: High school students, undergraduate students, graduate students, and recent graduates located outside the United States can participate without any US work authorization requirements.
π International Students in the US (F-1 Visa)
Student Status | Eligibility | Required Authorization | Notes |
|---|---|---|---|
High School Student | β Not Eligible | N/A | No CPT eligibility for high school |
College Freshman | β Not Eligible | N/A | Must complete 1 academic year |
College Sophomore+ | β Eligible | Full-time CPT authorization | Must obtain CPT approval from DSO |
Graduate Student | β Eligible | Full-time CPT authorization | Available immediately upon enrollment |
Recent Graduate | β Eligible | Full-time OPT authorization | Must be within OPT period |
Admitted Students (Pre-arrival) | β Eligible | No authorization needed | Only while still outside the US |
Special Note for Admitted Students: If you've been admitted to a US university but haven't started classes yet, you can participate only while you're still outside the United States. Once you arrive in the US and begin your studies, standard F-1 regulations apply.
Learning & Development
This internship provides comprehensive exposure to:
Enterprise AI Technologies: AWS Bedrock, Claude AI Enterprise, Vector databases
Solution Engineering: Requirements analysis, system design, architecture planning, integration patterns
Enterprise Integration: Real client use cases, business problem-solving, expectation management
Career Skills: Technical presentation, solution demos, portfolio building, interview preparation
Application Process
Submit Application: Complete our online application form with your background and interests
Interview: Phone/video call to discuss your goals and assess fit
Onboarding: Begin your AI product management journey
Ready to Shape the Future of AI?
Join EasyScaleCloud and gain hands-on experience building enterprise AI solutions that make a real impact. You'll work with cutting-edge technology, learn from experienced professionals, and build a portfolio that stands out in the competitive AI job market.
APPLY NOW to start your journey in AI solution engineering and be part of the next generation of AI innovators.
This is an unpaid internship position focused on educational and professional development outcomes. All participants gain valuable real-world experience, mentorship, and portfolio-building opportunities.