Claude AI Engineer

A 7-day execution bootcamp designed to land the Claude AI Engineer role: API fundamentals, tool use, agentic patterns, RAG, Node.js automation, SFCC context, and interview readiness.

Created by Baljeet Dogra

What You'll Build

This bootcamp is designed to be practical. Every day ships something you can demo: a tool-use agent loop, a RAG pipeline, a streaming workflow, and a capstone assistant.

Tool-use Agent Loop

Implement the full Claude tool use loop with schema-driven tools, error handling, and iteration guards.

RAG Pipeline

Chunk → embed → store → retrieve → augment. Compare RAG vs non-RAG answers and learn evaluation basics.

Node.js Automation

Build production-minded workflows in Node.js 18+: streaming, testing, lint tooling, and developer experience patterns.

SFCC Context (Plus)

Learn enough SFCC to talk architecture and integration points confidently, with a practical “where Claude helps” mindset.

Capstone Assistant

A demoable CLI assistant combining tools + RAG + streaming for a realistic dev workflow automation story.

Interview Readiness

Mock interview prompts, system design framing, and clear explanations of agentic patterns and trade-offs.

7-Day Curriculum

A focused, role-aligned plan. Each day includes a clear goal and outputs you can reuse in a portfolio or live demo.

Day 1 · Anthropic API Foundations & Tool Use

Set up the SDK, make your first call, master message format and tool use.

• Anthropic SDK setup (Node.js)
• Tool schemas, strict inputs, tool_use → tool_result loop
• Error handling and iteration guards

Day 2 · Agentic Patterns & Claude Code

Design multi-step agent loops with context management, orchestration and subagents.

• ReAct and tool planning
• Context pruning / summarisation strategies
• Orchestrator-worker pattern

Day 3 · RAG (Retrieval-Augmented Generation)

Build a complete RAG pipeline: chunk → embed → store → retrieve → augment Claude.

• Chunking strategies + overlap
• Vector store basics and retrieval tuning
• Expose retrieval as a Claude tool

Day 4 · Node.js 18+ & Developer Workflow Automation

Demonstrate production-grade Node.js skills and build an AI-powered dev tool.

• Streaming patterns, async iteration
• Built-in testing with node:test
• Tooling: linting, formatting, and DX

Day 5 · Salesforce Commerce Cloud (SFCC)

Learn enough SFCC to discuss architecture and AI integration points confidently.

• Cartridges, SFRA, Business Manager fundamentals
• OCAPI vs SCAPI and integration patterns
• Identify “high leverage” automation opportunities

Day 6 · Capstone: SFCC Dev Assistant

Build a demoable CLI assistant combining tools + RAG + streaming.

• CLI interface and structured outputs
• Tools: docs search, scaffolding, mock OCAPI, lint runner
• Streaming UX and iteration safety

Day 7 · Interview Prep: System Design & Storytelling

Walk in confident: technical sharpness + clear system design + portfolio demo.

• Mock system design: “AI-powered SFCC developer workflow automation”
• Agent safety, evaluation, and cost controls
• STAR stories and demo walkthrough

Want a tailored plan for the Claude AI Engineer role?

Share your current background and target timeline and we’ll adapt the bootcamp into a personalised schedule with the right depth (Node.js vs Python, RAG focus, SFCC optional).