Python · MIT
ombharatiya/AI-Engineer-Interview-Questions
Interview questions and prep for AI Engineer, LLM Engineer, and Applied AI roles. Built for software engineers breaking into AI and ML practitioners levelling up: company-specific question sets, role-based study maps, worked answers, and from-scratch coding challenges.
★ 264
Stars
58 forks · 0 open issues
+3.0/day
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
30.8
Momentum / 100
see the breakdown below
3mo ago
Created
last push 36d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 11.5 | +3.0/day, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | last week ran 0.90× the monthly pace |
| Freshness | 15 | 12.2 | last push 36d ago; decays to zero at 180 days |
| Scale | 15 | 7.0 | 264 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 30.8 | sum of the above |
Detail
| Topics | ai-agentsai-engineerai-engineeringai-interviewanthropiccoding-interviewfaang-interviewgenerative-aigoogleinterview-prepinterview-preparationinterview-questionslarge-language-modelsllmllm-interviewmachine-learning-interviewml-interviewprompt-engineeringragsystem-design |
| Matched on | LLM & Inference (large-language-models) Learning & Roadmaps (interview-questions) |
| Short window | +21 stars over 7 days = 3.0/day |
| Long window | +87 stars over 26 days = 3.3/day |
| Lifetime average | 2.26 stars/day over 117 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |