Building B2B SaaS in India means making engineering choices that look different from the typical Silicon Valley playbook. The market accepts simpler infrastructure (a single t3.xlarge can take you to ~200 concurrent users for under ₹15,000/month), but the compliance overhead is heavier — DLT registration alone takes 2–4 weeks, WhatsApp Business API approval has its own timeline, and Razorpay's edge cases around GST and RBI auto-debit will cost you two weeks if you don't plan ahead.
If your product is AI-powered, the production realities of RAG add another dimension: chunking strategy decides retrieval quality, embedding costs grow 10x faster than user count without caching, and hitting sub-2-second voice latency requires aggressive optimization (pre-warming, payload filtering, re-ranking, streaming).
This pillar collects our engineering writing — what we learned shipping two production SaaS products in 12 months, the infrastructure decisions at each growth stage, and the LangChain + Qdrant gotchas that no tutorial mentions.