Chapter 1

Hiring GenAI Engineers

hiring genai engineershiring architectureimplementation patternstesting and validationproduction deployment

Learning Path

Hands-on Labs

Each objective has a coding lab that opens in VS Code in your browser

Objective 1

Design the data model and schema for Hiring GenAI Engineers

Goal

Define the core data structures, schemas, and configuration needed for design interview loops covering coding, system design, llm-specific, and evaluation challenges. Design the foundational models that all other components will build upon.

Objective 2

Implement the core service logic for Hiring GenAI Engineers

Goal

Build the primary business logic and service layer for design interview loops covering coding, system design, llm-specific, and evaluation challenges. Implement the core algorithms and processing pipelines.

Objective 3

Build the API and interface layer for Hiring GenAI Engineers

Goal

Create the API endpoints, CLI commands, or UI components that expose the functionality built for design interview loops covering coding, system design, llm-specific, and evaluation challenges.

Objective 4

Integrate with external systems for Hiring GenAI Engineers

Goal

Connect the service to external dependencies, databases, message queues, and third-party APIs needed for design interview loops covering coding, system design, llm-specific, and evaluation challenges.

Objective 5

Implement testing and validation for Hiring GenAI Engineers

Goal

Build comprehensive test suites, validation pipelines, and quality checks for design interview loops covering coding, system design, llm-specific, and evaluation challenges.

Objective 6

Deploy and operate Hiring GenAI Engineers in production

Goal

Deploy the complete solution to a production-like environment, configure monitoring, alerting, and operational runbooks for design interview loops covering coding, system design, llm-specific, and evaluation challenges.