AI Generalist Master Roadmap 2026 — High-Pay Track
Mission: Transform into a top-tier AI Generalist and land a high-paying role at a top-tier company — built on real 2026 market data, salary intelligence, and what employers actually hire for.
Salary Target: ₹35–100 LPA (India) · $185K–$350K (US/Remote)
Timeline: 10–12 months · 4 Phases · 18 End-to-End Projects
🗺️ How This Workspace is Structured
Everything is organized by Projects — not by days. Each project is a complete, deployable unit of learning that builds toward your portfolio and career goals. Work through items within each project at your own pace. The order within a project matters; the pace does not.
📊 Phase Overview
| Phase | Focus | Projects | Outcome |
|---|---|---|---|
| 🔧 Phase 1 — Bedrock | LLM APIs, Prompt Engineering, Basic RAG | P01–P04 | 4 deployed projects |
| 🏗️ Phase 2 — Core Engineering | Production RAG, Evaluation, Deployment | P05–P08 | Full-stack AI app shipped |
| ⚡ Phase 3 — Agentic & Advanced AI | Agents, MCP, Fine-Tuning, MLOps | P09–P14 | Expert-level stack |
| 🚀 Phase 4 — Land the Job | System Design, Portfolio, Career Launch | P15–P18 | Offer received |
💰 Salary Intelligence
| Role | India (LPA) | US Base | Priority |
|---|---|---|---|
| Agentic AI Engineer | ₹40–100 LPA | $200–350K | 🔴 Critical |
| LLM Engineer | ₹35–80 LPA | $220–350K | 🔴 Critical |
| MLOps Engineer | ₹25–55 LPA | $175–280K | 🟡 High |
| AI Product Engineer | ₹20–45 LPA | $160–220K | 🟡 High |
| GCC Senior AI Engineer | ₹60–95 LPA | — | 🔴 Critical |
GenAI Premium: 50–70% above traditional ML at same experience
🏆 Target Companies
India Tier 1: Sarvam AI · Krutrim · CRED · Zepto · Meesho
GCCs: Google India · Microsoft India · JPMorgan India · Walmart Global Tech
Remote (US): Series A–C AI startups via Wellfound · Remotive · Crossover
Frontier Labs: Anthropic · OpenAI · Google DeepMind (18-month target)
✅ The Golden Rule for Every Work Item
A work item is only complete when:
- ✅ Built and deployed (live URL or published output)
- ✅ Can explain it in 2 minutes without notes
- ✅ Added to GitHub portfolio with README
Workspace Sub-pages
- 🔧 Phase 1 — Bedrock (P01–P04)
- 🏗️ Phase 2 — Core Engineering (P05–P08)
- ⚡ Phase 3 — Agentic & Advanced AI (P09–P14)
- 🚀 Phase 4 — Land the Job (P15–P18)
- 📋 Master Work Items Tracker
- 💰 Salary Intelligence & Target Companies
📁 Full Project Index — All 18 Projects
🔧 Phase 1 — Bedrock
- P01 — LLM Foundations Explorer
- P02 — Prompt Engineering Toolkit
- P03 — PDF Q&A Bot
- P04 — AI Assistant with Tool Use
🏗️ Phase 2 — Core Engineering
- P05 — Stateful Memory Chatbot
- P06 — RAG Evaluation Dashboard
- P07 — Streaming AI API
- P08 — Production RAG API
⚡ Phase 3 — Agentic & Advanced AI
- P09 — Research Agent (ReAct)
- P10 — Multi-Agent Pipeline
- P11 — Custom MCP Server
- P12 — Advanced RAG System
- P13 — LLM Fine-Tuning Pipeline
- P14 — MLOps Observability Stack
🚀 Phase 4 — Land the Job
- P15 — AI System Design Portfolio
- P16 — Multimodal AI App
- P17 — Portfolio & Brand Launch
- P18 — Interview Readiness Pack
🗄️ Databases & Intelligence
- 📋 Master Work Items Tracker
- 💰 Salary Intelligence & Target Companies