AI Engineering
Become an AI Engineer 2026
Stop guessing. Start building the AI career you actually want.
1 Session·45 mins·2500+ booked·All Levels
Sound familiar?
- You've watched every LangChain tutorial but still have nothing production-ready to show
- Applying to AI Engineer roles for months - no callbacks, no idea what's missing
- Can't tell if you need RAG, MLOps, fine-tuning, or all three to actually break in
- Everyone seems to have an IIT/NIT background - you feel perpetually behind
This session is built for exactly these.
About this session
In this comprehensive 1:1 session, Prince digs into where you specifically are right now - your stack, your projects, your target companies - and builds a personalized AI Engineering roadmap around your exact situation. No generic advice. No recycled course content. Just a direct plan.
How the 45 mins are spent
- 1
Profile Audit15 min
First 15 min - Prince reviews your current stack, GitHub, projects, and target companies. Identifies precisely what's blocking you.
- 2
Roadmap & Projects20 min
Next 20 min - personalized AI skill roadmap, which 2-3 projects to build next, how to structure them for maximum recruiter signal.
- 3
Job Strategy10 min
Final 10 min - where to apply, how to cold outreach, salary anchoring, and your personalized 30/60/90-day plan.
What we cover
- What AI Engineering actually means in 2026 vs ML Engineering vs Data Science
- Top companies hiring AI Engineers and the exact skill matrix they use
- Where you stand today vs. where you need to be - honest gap analysis
- The must-know tools: LangChain, LlamaIndex, OpenAI API, vector DBs, MLOps
- The skill stack that gets you hired (ranked by actual recruiter signal, not YouTube views)
- Market analysis: India vs remote - where the real opportunities are in 2026
- Why most AI portfolios get rejected in 30 seconds - and how to fix yours
- 3 project ideas matched to your current level that signal real engineering depth
- How to structure RAG, agent, and fine-tuning projects for maximum impact
- GitHub portfolio structure that passes recruiter screening
- Demonstrating production-readiness: APIs, evals, monitoring, deployment
- Documentation templates that make your projects look senior-level
- AI-specific interview prep: system design for LLM applications, tradeoff discussions
- How to answer 'tell me about an AI project' convincingly - the exact framework
- Top companies hiring AI Engineers right now - and how to get past the front door
- Cold email + LinkedIn DM templates that actually get responses
- Salary anchoring for AI roles - India and remote (the numbers most people leave on the table)
- Your 30/60/90-day personalized action plan before we end the call
What you walk away with
- Personalized 90-day AI Engineer roadmap with weekly milestones
- 2-3 production project ideas with GitHub structure and README template
- Cold outreach templates (email + LinkedIn DM) for AI roles
- Salary negotiation script for India & remote AI positions
- Custom interview question bank based on your target companies
This session is for you if
- Backend or full-stack devs who want to pivot into AI Engineering
- Fresh grads targeting AI roles in 2025–26 hiring cycles
- Self-taught ML practitioners who need job strategy, not more courses
- Anyone stuck in AI tutorial hell with nothing production-ready to show
Your mentor
Prince SinghAI Architect · Founding Engineer
I built this platform because I was you - no senior, no network, no roadmap. Just a Tier 3 college degree and raw hunger. I cracked 10+ remote Jobs offers by building the right systems, following the right patterns, and never stopping shipping. Now I share everything that actually works - no fluff.
72K+ LinkedIn · 1.3K+ GitHub · 10K+ YouTube · 5K+ on X
45 mins · 1:1 with Prince Singh