# MyEngineeringPath
> Free GenAI Engineer career guide — roadmap, interview questions, salary, and tools. Written by senior engineers, updated for 2026.

MyEngineeringPath is a free, open-source career guide for GenAI Engineers.
All content is written by senior engineers. No paywalls, no accounts required.

## GenAI Engineer Career Path

- [GenAI Engineer Career Path](https://myengineeringpath.dev/genai-engineer/): Full career overview, who it's for, and next steps
- [GenAI Engineer Roadmap 2026](https://myengineeringpath.dev/genai-engineer/roadmap/): Stage-by-stage career progression with tools, skills, and milestones
- [RAG Architecture Guide](https://myengineeringpath.dev/genai-engineer/rag/): Production RAG systems from chunking to RAGAS evaluation
- [AI Agents Guide](https://myengineeringpath.dev/genai-engineer/agents/): LLM agent patterns, ReAct, tool use, multi-agent systems
- [Agentic AI Design Patterns](https://myengineeringpath.dev/genai-engineer/agentic-patterns/): ReAct, Plan-and-Execute, Reflection, Supervisor patterns
- [Prompt Engineering Guide](https://myengineeringpath.dev/genai-engineer/prompt-engineering/): Chain-of-thought, few-shot, structured output techniques
- [LLM Evaluation Guide](https://myengineeringpath.dev/genai-engineer/evaluation/): RAGAS, LLM-as-judge, A/B testing, offline vs online evals
- [GenAI System Design](https://myengineeringpath.dev/genai-engineer/system-design/): Production architecture, latency budgets, cost, observability
- [GenAI Tech Stack 2026](https://myengineeringpath.dev/genai-engineer/tools/): LLM APIs, frameworks, vector DBs, cloud platforms
- [Interview Questions 2026](https://myengineeringpath.dev/genai-engineer/interview-questions/): 50+ real GenAI engineer interview questions with answers
- [Portfolio Projects](https://myengineeringpath.dev/genai-engineer/projects/): 20 project ideas from beginner RAG chatbots to production agentic systems
- [Salary Guide 2026](https://myengineeringpath.dev/genai-engineer/salary/): GenAI engineer compensation by level, company, and location

## Tools & Technical Comparisons

- [Tools Overview](https://myengineeringpath.dev/tools/): Complete index of GenAI tools, frameworks, and platform comparisons
- [LangChain vs LangGraph](https://myengineeringpath.dev/tools/langchain-vs-langgraph/): Architecture differences, use cases, and when to use each
- [LangChain Tutorial](https://myengineeringpath.dev/tools/langchain-tutorial/): Beginner-to-production LangChain guide with code examples
- [LangGraph Tutorial](https://myengineeringpath.dev/tools/langgraph-tutorial/): Build stateful AI agents with cycles, persistence, and human-in-the-loop
- [LangChain vs LlamaIndex](https://myengineeringpath.dev/tools/langchain-vs-llamaindex/): Agent orchestration vs RAG optimization — when to use each
- [LangSmith vs Langfuse](https://myengineeringpath.dev/tools/langsmith-vs-langfuse/): LLM observability platforms compared for tracing and evaluation
- [PydanticAI Guide](https://myengineeringpath.dev/tools/pydantic-ai/): Type-safe AI agents with structured outputs and dependency injection
- [Vector Database Comparison](https://myengineeringpath.dev/tools/vector-db-comparison/): Pinecone, Weaviate, Qdrant, Chroma compared for RAG
- [Fine-Tuning vs RAG](https://myengineeringpath.dev/tools/fine-tuning-vs-rag/): Decision framework for production GenAI applications
- [Agentic AI Frameworks](https://myengineeringpath.dev/tools/agentic-frameworks/): LangGraph, CrewAI, AutoGen, Semantic Kernel compared
- [AI Code Editors](https://myengineeringpath.dev/tools/agentic-ides/): Cursor, GitHub Copilot, Windsurf, Claude Code compared
- [Cursor vs Claude Code](https://myengineeringpath.dev/tools/cursor-vs-claude-code/): AI IDE vs CLI — architecture, workflow, and pricing comparison
- [Antigravity vs Cursor](https://myengineeringpath.dev/tools/antigravity-vs-cursor/): Next-gen AI IDE challenger vs the market leader
- [MCP Server Tutorial](https://myengineeringpath.dev/tools/mcp-server-tutorial/): Build Model Context Protocol servers from scratch
- [Model Context Protocol (MCP)](https://myengineeringpath.dev/tools/mcp/): What it is, how it works, real integrations
- [Cloud AI Platforms 2026](https://myengineeringpath.dev/tools/cloud-ai-platforms/): AWS Bedrock vs Google Vertex AI vs Azure AI Foundry
- [AWS Bedrock Guide](https://myengineeringpath.dev/tools/aws-bedrock/): Managed LLM API for production GenAI on AWS
- [Google Vertex AI Guide](https://myengineeringpath.dev/tools/google-vertex-ai/): Gemini API, Model Garden, and production deployment
- [Azure AI Foundry Guide](https://myengineeringpath.dev/tools/azure-ai-foundry/): Enterprise LLM platform for the Azure ecosystem

### AI Model Comparisons

- [Claude Sonnet vs Haiku](https://myengineeringpath.dev/tools/claude-sonnet-vs-haiku/): Anthropic's models compared — speed vs capability tradeoffs
- [Claude vs Gemini](https://myengineeringpath.dev/tools/claude-vs-gemini/): Anthropic vs Google — coding, reasoning, and multimodal compared
- [Claude vs ChatGPT](https://myengineeringpath.dev/tools/claude-vs-chatgpt/): Anthropic vs OpenAI — architecture, pricing, and use cases
- [GPT vs Gemini](https://myengineeringpath.dev/tools/gpt-vs-gemini/): OpenAI vs Google — benchmarks, pricing, and ecosystem comparison

## Programming Guides

- [Python for GenAI Engineers](https://myengineeringpath.dev/programming/python/python-for-genai/): Async, Pydantic, and LLM production patterns
- [Async Python Guide](https://myengineeringpath.dev/programming/python/async-python/): asyncio fundamentals for LLM and GenAI applications

## Optional

- [Sitemap](https://myengineeringpath.dev/sitemap-index.xml)
- [GitHub](https://github.com/mohitsaxenacs/)
- [LinkedIn](https://linkedin.com/in/mohitsaxena21)