Alex Chen
AI Engineer & Technical Writer
Alex Chen is an AI engineer and technical writer covering practical guides for building, deploying, and scaling AI agent systems. With experience across LangChain, CrewAI, and production ML infrastructure, Alex writes hands-on tutorials and framework comparisons for the AgenticCareers.co blog.
Articles by Alex (22)
The AI Agent Engineer System Design Interview
RAG, multi-agent orchestration, evaluation, and PII guardrails — here is what senior agent system design interviews actually probe, and what separates the candidates who get the offer.
April 14, 2026
IndustryFrom Prompts to Context: The New Engineering Paradigm
Most agent failures in production are not model failures — they are context failures. Here is why the industry is abandoning prompt engineering for context engineering, and what changes.
April 14, 2026
AI AgentsMastering the Model Context Protocol (MCP)
MCP solves the training-cutoff problem by letting agents query external systems at runtime. Code execution + MCP can cut context overhead by up to 98.7%. Here is why it is becoming mandatory.
April 14, 2026
CareersFrom DevOps to AI Agent Engineering: The Complete Career Transition Guide
Your infrastructure, reliability, and observability skills transfer directly. Here is the fastest path from DevOps to AI agent engineering in 2026.
April 12, 2026
GuidesThe 7 Best AI Agent Frameworks to Learn in 2026, Ranked by Job Demand
We analyzed 1,700+ job listings to rank the most in-demand AI agent frameworks. Here are the ones worth your time, with learning resources.
April 12, 2026
Guides10 Side Projects That Will Actually Land You an AI Agent Engineering Job
Specific project ideas — from beginner to advanced — that demonstrate the exact skills hiring managers evaluate for AI agent roles.
April 12, 2026
GuidesThe AI Agent Engineer's Toolkit: Essential Tools and Dev Environment Setup for 2026
Every tool, library, and configuration you need to build production AI agents — from IDE setup to observability to local LLM testing.
April 12, 2026
GuidesPrompt Injection and AI Agent Security: What Every Engineer Needs to Know
Prompt injection is the SQL injection of the AI era. This guide covers the threat landscape, real-world incidents, and the defensive patterns that protect production AI agents from adversarial attacks.
April 1, 2026
GuidesThe AI Agent Observability Stack: LangSmith, Langfuse, Arize, Helicone, and Braintrust Compared
You cannot improve what you cannot measure. This guide compares the five leading AI agent observability platforms across tracing, evaluation, cost tracking, and production monitoring for 2026.
March 31, 2026
GuidesBuilding Multi-Agent Systems: 4 Architecture Patterns Every Engineer Should Know
Supervisor, peer-to-peer, hierarchical, and swarm — each multi-agent architecture pattern has distinct trade-offs. This guide breaks down when to use each, with real production examples.
March 30, 2026
GuidesMemory Systems for AI Agents: Short-Term, Long-Term, and Episodic Architectures
How an agent remembers is as important as how it reasons. This technical deep-dive covers the three types of agent memory, implementation patterns, and the trade-offs that determine which to use.
March 30, 2026
GuidesTool Use and Function Calling: The Practical Developer's Guide for 2026
Tool use is what separates agents from chatbots. This guide covers implementing function calling across OpenAI, Anthropic, and Google — with patterns for validation, error handling, and production deployment.
March 29, 2026
GuidesRAG vs. Fine-Tuning: A Decision Framework for 2026
Should you retrieve context at inference time or bake knowledge into the model? This guide provides a concrete decision framework with cost, accuracy, and maintenance trade-offs for each approach.
March 28, 2026
Guides7 AI Agent Portfolio Projects That Actually Get You Hired (2026)
Seven AI agent projects recruiters at OpenAI, Anthropic, and frontier startups say will land you interviews in 2026 — with exact tech stacks and GitHub repo patterns.
March 16, 2026
GuidesMCP (Model Context Protocol) Explained: The Skill Showing Up in Every AI Job Posting
Model Context Protocol has quietly become one of the most-requested skills in agentic AI job descriptions. Here's what it is, why companies care, and how to build fluency fast.
March 15, 2026
GuidesThe AI Agent Evaluation Problem: Why Testing Agents Is the Hardest Part
Traditional software testing breaks down completely when applied to AI agents. Here's how the industry is solving the evaluation problem — and why a new breed of engineer is emerging to tackle it.
March 10, 2026
GuidesThe MLOps Stack for Agentic Applications in 2026
Agentic applications need a different MLOps approach than traditional ML models — this guide maps out the modern stack for deploying, monitoring, and iterating on AI agents.
March 5, 2026
GuidesHow to Deploy AI Agents in Production: A Practical Engineering Guide
Deploying AI agents in production surfaces a unique set of challenges that most tutorials skip entirely — this guide addresses reliability, cost, latency, and observability head-on.
February 19, 2026
GuidesVector Databases Compared: Pinecone, Weaviate, and ChromaDB in 2026
Choosing the wrong vector database is a common and costly mistake in RAG and agent projects — this practical comparison helps you pick the right one for your scale and requirements.
February 5, 2026
GuidesLangChain vs. CrewAI vs. AutoGPT: Choosing Your Agent Framework in 2026
A no-hype comparison of the three most widely adopted agent frameworks — with honest tradeoffs, real use cases, and a decision framework you can apply today.
January 29, 2026
IndustryWhat Is a RAG Engineer? Role, Skills, Salary & How to Become One (2026)
A RAG Engineer builds retrieval pipelines that ground LLMs in source documents. Here's what they do day-to-day, typical salary ($160K-$340K), the skills you need, and how to transition from SWE or ML engineer roles.
January 22, 2026
GuidesHow to Build Your First AI Agent in 2026: A Step-by-Step Guide
From choosing the right framework to deploying your first autonomous agent, this guide walks engineers through every decision that matters in 2026's agentic stack.
January 8, 2026