# @the.datascience.gal on Instagram

- **Type:** Video
- **Original URL:** https://www.instagram.com/p/Dc-kbrrTGRO
- **Gondola URL:** https://gondola.cc/posts/70134740-thedatasciencegal-instagram
- **Thumbnail:** https://img.gondola.cc/tr:w-,h-,fo-auto/postThumbnails/264ab34a9d.jpg
- **Posted:** 2026-09-07T07:26:51.000+00:00
- **Account Owner:** Aishwarya Srinivasan | Data & AI | LinkedIn Top Voice (@the.datascience.gal) — https://gondola.cc/the.datascience.gal

## Caption

Want to become an AI Engineer in 2026? Don’t start with random AI tutorials.

Follow this order:

1. Software Engineering Fundamentals
Learn Python, APIs, SQL, Git, testing, debugging, Docker, cloud, authentication, logging, and deployment.

2. AI Systems
Understand tokens, context windows, embeddings, retrieval, tool calling, structured outputs, model selection, latency, cost, and when you actually need an agent.

3. AI Evals
Learn how to test AI systems properly. Build test sets, measure task success, track groundedness, failure modes, latency, and cost. Use human evaluation when outputs are subjective.

4. Build Production-Ready Projects
Forget building 15 tiny tutorial apps. Build 2–3 serious projects that show:

A live product
GitHub repository
System architecture
Evaluation results
Failure cases
Engineering trade-offs

Certifications can help, but make sure you’re actually building something alongside them.

The roadmap is simple:

Software Engineering → AI Systems → AI Evals → Production Projects

Save this roadmap if you’re serious about becoming an AI engineer in 2026.

#AIEngineer #AIEngineering #ArtificialIntelligence #AIJobs #TechCareers

## Stats

- **Views:** 22,476
- **Likes:** 332
- **Shares:** 0
- **Comments:** 25

## Tags

aiengineering, aijobs, aiengineer, techcareers, artificialintelligence

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