ombharatiya / ai-system-design-guide
AI system design guide for engineers building production AI systems and evals.
Why this job: topics: interview, interview-questions
What it does
A practical, continuously updated guide to AI system design, RAG architectures, LLM engineering, agentic AI, MCP and A2A protocols, and AI engineering interview preparation. Covers production patterns, model selection, evaluation, and real-world case studies from staff-level interviews.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 4 days ago
- Stars
- 4,214
- +57 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Not stated
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 20% closed
- 4 still open
- Pull requests
- 30 merged
- 4 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: topics and project record
Topics
- agentic-ai
- agentic-workflow
- ai
- ai-jobs
- artificial-intelligence
- aws
- azure
- claude
- evals
- forward-deployed-engineer
- gemini
- gen-ai
Project record
- JobLists and guides
- StatusListed
- Commits212
- Forks860
- Watching39
- Stars in 28 days+661
- CreatedDec 16, 2025
- First seen by usNov 7, 2026
- CheckedNov 7, 2026