Career Roadmap · 2026

Generative AI Engineer Roadmap

Build generative models and applications. Here's exactly what to learn, in what order, and how long it takes.

$140K - $230K (US)

Salary Range

4-8 months

Time to Job-Ready

120% YoY

Demand Growth

5 phases

Phases

Prerequisites

Python proficiencyML basicsAPI development experience

The Roadmap

1

GenAI Foundation

Weeks 1-4
Transformer architectureLLM APIsPrompt engineeringEmbeddings

📦 Project: Multi-model chat application

2

RAG & Retrieval

Weeks 5-8
Vector DBsChunkingHybrid searchReranking

📦 Project: Enterprise knowledge base with RAG

3

Agents & Orchestration

Weeks 9-14
LangChainLangGraphTool useMulti-agent systems

📦 Project: Autonomous research agent

4

Fine-tuning & Training

Weeks 15-18
LoRA/QLoRADataset curationEvaluationRLHF concepts

📦 Project: Domain-specific fine-tuned model

5

Production & Scale

Weeks 19-24
Inference optimizationDeploymentMonitoringCost management

📦 Project: Production GenAI platform

Ready to start your Generative AI Engineer journey?

Our live bootcamp covers this entire roadmap with instructor-led sessions, hands-on projects, and career support.

View Bootcamp Claude Code Workshop (₹499)

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This Generative AI Engineer roadmap is designed for 2026 and covers the latest tools, frameworks, and best practices. The salary range for Generative AI Engineer roles is $140K - $230K (US) · ₹20L - ₹55L (India), with demand growing at 120% YoY. Whether you're transitioning from software engineering or starting fresh, this roadmap provides a clear, structured path to becoming a Generative AI Engineer. Learn more about AI upskilling programs or explore AI careers by city.