AI Interaction Developer

AI Interaction Developer

The next generation of Frontend Developer

AI Engineer Roadmap

Your comprehensive journey from fundamentals to AI expertise
  • Step 1
    Fundamentals (Beginner)

    Build a solid foundation in web basics and workflows

    HTML
    CSS
    JavaScript (ES6+)
    TypeScript (Highly Recommended)

    VSCode
    Git
    npm / pnpm / yarn
    Chrome DevTools

    Basic DOM manipulation
    fetch API

    Jest (Unit Testing)

    Responsive portfolio site built with TypeScript
  • Step 2
    Modern Frontend (Early-Intermediate)

    Structure productive and maintainable frontend apps

    React (Essential)
    Next.js (Recommended: SSR, Edge Functions)
    Vite-based Apps

    Tailwind CSS
    CSS Modules
    styled-components

    React Query (TanStack Query)
    Zustand
    Redux Toolkit (when needed)

    React Testing Library
    Playwright or Cypress (E2E)

    Next.js + React Query powered API dashboard
  • Step 3
    Type-Safe Fullstack (Intermediate)

    Design type-safe APIs and integrate fullstack systems

    Node.js + TypeScript
    Deno or Bun (optional)

    REST
    GraphQL (Apollo)
    tRPC (Type-safe Communication)

    PostgreSQL
    Prisma / Supabase (BaaS option)

    OAuth
    JWT
    Clerk
    Auth0

    Backend API + DB integration for AI services
  • Step 4
    AI Integration Basics

    Safely communicate with LLMs and AI APIs

    OpenAI
    Anthropic
    Hugging Face SDKs

    Manage secrets on the server
    Client calls tokenized endpoints only

    Fetch Streaming
    Server-Sent Events (SSE)
    Basic WebSocket

    Provider SDKs
    axios / fetch
    Stream Reader

    Chat UI with streaming responses — basic AI chat app
  • Step 5
    Prompt Engineering & RAG

    Build document-based Q&A and context-aware pipelines

    Prompt design
    Context window management
    Chain-of-Thought reasoning

    Pinecone
    Qdrant
    Weaviate
    Milvus
    Supabase Vector

    LangChain
    LlamaIndex (or custom pipeline)

    Chunking
    Metadata storage
    Snippet/Summary creation

    PDF upload → Embedding → Document Q&A service
  • Step 6
    Multimodal Interaction

    Connect text, image, audio, and video inputs/outputs

    MediaDevices.getUserMedia
    WebRTC
    Web Speech API (STT/TTS)
    File API
    Canvas / OffscreenCanvas

    simple-peer
    mediasoup (server)
    ffmpeg.wasm

    Client-side resize/compression
    EXIF handling
    Streaming uploads

    Multimodal chat app — image + voice input with AI response
  • Step 7
    Realtime Collaboration

    Support multi-user + AI interactions

    WebSocket
    SSE
    WebRTC
    CRDTs (Yjs, Automerge)

    Supabase Realtime
    Pusher
    Liveblocks
    Firebase Realtime

    Optimistic updates
    Conflict resolution
    Session sharing

    Collaborative document editor with AI assistance
  • Step 8
    Edge & On-device Inference

    Minimize latency and enable offline experiences

    Vercel Edge Functions
    Cloudflare Workers
    Netlify Edge

    TensorFlow.js
    ONNX Runtime Web
    WebNN / WebGPU
    WASM libraries

    Run lightweight models in-browser for privacy & cost efficiency

    Browser-based NLU/classification model demo
  • Step 9
    Security, Privacy & Compliance

    Protect user data and mitigate model risks

    Server-side secret storage
    HTTPS
    Auth/Access control
    Rate limiting
    WAF

    PII anonymization
    Data minimization
    User data deletion flow

    Prompt injection defense
    Response filtering
    Human-in-the-loop review

    GDPR
    CCPA compliance
    Data retention policies

    Privacy consent & response validation pipeline
  • Step 10
    Scaling & Observability

    Build reliable, cost-efficient systems

    Redis
    CDN-level request/response caching

    BullMQ
    RabbitMQ
    Serverless queues

    Sentry
    Datadog
    OpenTelemetry
    Structured logs & tracing

    Token-efficient model usage
    Batch processing
    Sampling strategies

    LLM cost monitoring dashboard with alert system
  • Step 11
    Tooling & CI/CD

    Automate reliable builds and improve team productivity

    GitHub Actions
    Vercel/Netlify auto deploys
    Docker
    Kubernetes (optional)

    ESLint
    Prettier
    Type checking
    Test coverage

    GitHub Copilot
    AI refactoring assistants

    Automated CI → staging → production pipeline
  • Step 12
    Product, UX & Measurement

    Design user-centered experiences and measurable improvements

    Figma (Prototyping)
    Design Systems

    Interaction Design
    Accessibility (a11y)
    Feedback Loops

    A/B Testing
    Usability metrics (efficiency, success rate)

    Documentation
    Demo video creation
    Educational content writing

    User study on improving AI response trust & usefulness
  • Step 13
    Specialized Expertise (Optional)

    Go deep in selected advanced or niche domains

    LangChain agent patterns
    Tool chain management

    LoRA
    PEFT
    Data preparation and tuning workflow

    Conversational voice UX design
    Interrupt/cancel handling

    Model interpretability
    Domain-specific model development

© 2025 AI Interaction Developer. The Future is Now.