How to become a AI Engineer
Builds products on top of AI models: assistants, agents and AI features.
Core skills
- 01LLM APIs
- 02Prompting & evals
- 03Retrieval (RAG)
- 04Full-stack basics
Flagship project idea
Ship an AI tool that helps a specific group (e.g., your school's robotics team) and measure its accuracy with evals.
JuniorRoute Pro turns this into a milestone-by-milestone build plan sized to your skill level.
Your path in
- 1
Learn the fundamentals
Get comfortable with llm apis and prompting & evals. Free resources are enough to start. Consistency beats intensity.
- 2
Build a flagship project
Ship an AI tool that helps a specific group (e.g., your school's robotics team) and measure its accuracy with evals.
- 3
Meet people in the role
Find 3–5 people working as a AI Engineer and ask for 15-minute chats about how they broke in. JuniorRoute gives you outreach templates and a tracker.
- 4
Apply strategically
Target internships, apprenticeships and programs matched to your grade and experience, with a resume tailored to each posting.
- 5
Practice interviews
Run mock interviews specific to AI Engineer roles, both technical and behavioral, and fix what the scorecard flags.
Get your personal AI Engineer plan.
Free to start. No credit card. Built around your grade, goals and schedule.