Branewise
Internships & Training

Build. Learn. Ship Real AI.

The Branewise AI Engineering Internship is a 3‑month remote program focused on practical AI engineering — build Generative AI, Agentic AI and cloud-native systems with mentorship from senior engineers.

Real Projects
Project-based learning
1:1
Mentorship
Mentorship
Engineering feedback
Portfolio
Project showcase
Learning Tracks

Choose Your Path, Build Real Things

Every track pairs cutting-edge technology with real enterprise project work — so you graduate with a portfolio, not just a certificate.

Technology Tracks

Python · LLMs · RAG · Embeddings
GenAI Engineer
Build production-oriented Generative AI applications using Python, LLM APIs, RAG and vector databases.

Sample Projects

  • Build a document Q&A system using RAG with vector search
  • Train and deploy a custom classification model for invoice categorization
  • Create an LLM-powered code review assistant
React · Next.js · TypeScript · Node.js
AI Product Engineer
Build complete AI-powered products from frontend to backend, integrating AI APIs and deployment pipelines.

Sample Projects

  • Build a real-time collaboration dashboard with WebSocket updates
  • Design and implement a multi-tenant SaaS onboarding flow
  • Create a role-based admin panel with audit logging
AWS · Terraform · Docker · CI/CD
AI Cloud Engineer
Deploy and operate AI applications using cloud-native architecture, infrastructure as code and modern DevOps practices.

Sample Projects

  • Set up a zero-downtime blue-green deployment pipeline
  • Build a multi-region disaster recovery architecture on AWS
  • Create a monitoring and alerting stack with Prometheus and Grafana
ETL · Vector DBs · Pipelines
Data & ML Engineering
Design data and ML pipelines for feature stores, embeddings, and scalable data infrastructure.

Sample Projects

  • Build a real-time event streaming pipeline with Kafka and Spark
  • Design an Airflow-orchestrated ETL pipeline for multi-source data ingestion
  • Create a data lake architecture with partitioned storage and query optimization

Business Domain Tracks

Tracking · Forecasting · Optimization
Logistics & Supply Chain
Apply technology to real logistics challenges — visibility, demand planning, and route optimization.

Sample Projects

  • Build a shipment tracking dashboard with real-time carrier integration
  • Create a demand forecasting model using historical order data
Processing · Detection · Compliance
Finance & Banking
Work on financial systems that handle real transactions — invoice automation, fraud detection, and regulatory compliance.

Sample Projects

  • Build an invoice processing pipeline with OCR and validation rules
  • Develop a fraud detection model using transaction pattern analysis
Assessment · Analytics · Engagement
EdTech
Build tools that improve learning outcomes — assessment engines, analytics dashboards, and adaptive content delivery.

Sample Projects

  • Integrate an AI-powered assessment engine with LMS platforms
  • Build a learning analytics dashboard tracking student progress and engagement
Recommendations · Pricing · Personalization
E-Commerce
Power online retail with intelligent systems — product recommendations, dynamic pricing, and personalized experiences.

Sample Projects

  • Build a recommendation engine using collaborative filtering
  • Create a dynamic pricing system based on demand and competitor signals
Program Details

Built for Your Growth

Everything you need to transition from learning to leading — structured support, real responsibility, and a clear path forward.

Duration

3 months — focused, project-based learning with mentor support.

Mentorship

1:1 engineering mentorship with regular code reviews and architecture guidance.

Batch Size

Small cohorts (5–10 participants) to ensure hands-on guidance and meaningful collaboration.

Completion Certificate

A Branewise certificate based on completed projects and demonstrated skills.

Remote

Remote-friendly program with async collaboration and periodic live reviews.

Ready to Start Building?

Applications open for the next cohort. Send your resume and preferred track — we'll review and follow up with next steps.

quantzeo@gmail.com