San Francisco teams operate with high technical bars and low patience for hand-wavy delivery. In-house engineers are costly; contractors rotate; AI features get demoed before retrieval and evals exist. The market rewards instrumentation, billing, and admin surfaces early — not slideware. Many founders run React or Next.js and need capacity that respects code review culture and enterprise security questionnaires. Boutique agencies struggle to keep senior talent on accounts. Jythu positions as a product engineering partner — LLM integration with cost caps, SaaS rebuilds with Stripe, and staff-aug pods on the same Zoom weekly.
Jythu rebuilds Shopify stores for speed, conversion, and crawlability — custom Liquid themes, trimmed app stacks, PDP clarity, and checkout friction mapped with real analytics. We handle migrations from WooCommerce or Magento, Plus setups when they earn their cost, and ongoing CRO retainers. Performance budgets treated as product requirements, not launch-week surprises. For San Francisco teams, that usually means fewer contractor handoffs and a partner who will cut scope when the calendar is real.
Bay Area — venture-backed SaaS, AI tooling, and infra companies on Pacific Time (PT). We tailor Shopify & e-commerce around local collaboration habits — local proof section, city case study/testimonial, timezone/response-time note.
Shopify & E-Commerce Development — nearby services
Built for this market — not a generic offshore brief
Why teams in San Francisco hire Jythu
Senior ICs who have shipped SaaS and AI in production — we speak PR review, feature flags, and unit economics on Pacific mornings, not buzzwords in a pitch deck.
Senior builders, written scope
Two-week sprints, staging on every PR, and deliverables your team can own — not a black-box ticket queue.
US business-hours overlap
Core standups land in your workday with async PRs ready when you log on.
DTC Shopify + SEO (NDA)
A direct-to-consumer brand sat on an off-the-shelf theme with app bloat and soft organic growth. Peak season was approaching and the catalog ran to thousands of SKUs — any downtime would hurt.
Result: Liquid rebuild with an aggressive asset strategy, content templates, and a six-month SEO program. Load times dropped roughly 40%; organic sessions grew about 3× over the program window with no full-store downtime during peak.
Discover → Design → Build → Launch
Discover
Goals, constraints, and success metrics in a focused discovery pass.
Design
Figma flows approved before TypeScript starts — fewer surprises later.
Build
Two-week sprints with staging deploys you can click every cycle.
Launch
Cutover checklist, monitoring, and a 30-day warranty on fixed projects.
Questions teams ask before kicking off
Can you integrate LLM features into our existing SF codebase?
That is our default AI scope — RAG, tool calling, evals, and observability in your repo, with keys and data handling configured to your policies.
How do you handle Bay Area security reviews?
We work in your cloud accounts, follow your access checklist, and document data flows for vendor reviews — without claiming to be your lawyer.
What does staff augmentation look like from India?
Named engineers, overlap on PT mornings, sprint demos with written decisions. You retain repo and infra ownership.
When does Shopify Plus make sense for our store?
We start with a discovery call, then a written in/out list for Shopify & e-commerce. Estimates follow constraints — timeline, stack, and who owns the repo — not a one-size quote calculator.
5.0 · Rated by 50+ clients
Ready to start a project?
The first discovery call is on us. Bring constraints — we will bring a timeline and a cut list.