Full Stack Developer Internship

About Horrazon.AI:

• Horrazon.AI is building a next-generation AI-powered Marketing Analyst Agent designed to help businesses make intelligent, data-driven marketing decisions autonomously.
• The platform integrates predictive machine learning (CLTV & ROAS models) with a full-stack SaaS architecture to deliver actionable insights and automated campaign optimization.

Technology Stack:

• Frontend: React.js
• Backend: Go (Golang)
• ML Layer: Python (XGBoost, DNN models)
• Architecture Direction: Scalable, multi-tenant AI systems with planned AWS deployment

Product Status:

• The product has successfully transitioned from ideation to a functional full-stack prototype.
• The platform is now entering the critical integration and scaling phase.

Role Overview:

• Looking for highly motivated Full-Stack Developer Interns to build and integrate core components of the AI-driven SaaS platform.
• The role involves working across frontend, backend, and system integration layers in a fast-paced startup environment.
• Interns will contribute to transforming a production-grade AI system from prototype to scalable deployment.

Key Responsibilities:

Frontend Development:

• Develop and optimize responsive user interfaces using React.js.
• Build reusable components for dashboards, analytics, and conversational UI.
• Integrate frontend with backend APIs and ensure smooth data flow.
• Improve performance using lazy loading, code splitting, and efficient state management.

Backend Development:

• Design and implement RESTful APIs using Go (Golang).
• Work on authentication systems (JWT-based secure auth).
• Handle multi-tenant data architecture and secure access control.
• Optimize backend for concurrency and performance.

System Integration:

• Integrate frontend (React), backend (Go), and ML services (Python).
• Work with API communication patterns (REST / gRPC).
• Assist in building data pipelines for real-time marketing analytics.

AI/ML Interaction:

• Support integration of ML models for Customer Lifetime Value (CLTV).
• Support integration of ML models for Predictive ROAS.
• Support integration of ML models for CAC Analysis.
• Work with data flow between the inference services and the application layer.

Cloud & Infrastructure:

• Exposure to AWS-based architecture (S3, SageMaker, RDS, etc.).
• Assist in deployment pipelines and scalable backend setup.

Required Skills:

Core Technical Skills:

• Strong proficiency in TypeScript and React.js/Nextjs.
• Solid understanding of backend development (Go).
• Knowledge of REST APIs, GRPC, and client-server architecture.
• Familiarity with databases (SQL or NoSQL).

Fundamentals:

• Understanding of data structures and algorithms.
• Knowledge of Git and version control workflows.
• Basic understanding of authentication and web security concepts.

Preferred Skills:

• Experience with Golang.
• Familiarity with machine learning concepts or data pipelines.
• Knowledge of AWS or cloud platforms.
• Understanding of SaaS architecture and multi-tenancy.
• Experience working on startup or product-based projects.

What You Will Gain:

• Hands-on experience building a real-world AI SaaS product.
• Exposure to end-to-end system design (UI → Backend → ML → Cloud).
• Opportunity to work closely with founders and core engineering team.
• Practical experience with scalable architectures and AI integration.
• High-impact ownership and learning in a fast-paced environment.

Eligibility Criteria:

• Currently pursuing or recently completed a degree in Computer Science, IT, AI, Data Science or related fields.
• Strong problem-solving mindset and willingness to learn.

How To Apply:

• Submit your application via Unstop.
• Updated resume.
• GitHub / portfolio links (mandatory).
• Brief description of projects or work done.

Selection Process:

• Resume Screening.
• Technical Interview.
• Final Discussion.

Important Note:

• This role is ideal for candidates who want to work on cutting-edge AI and full-stack systems and are comfortable operating in a high-ownership startup environment.