Seattle engineers are among the most expensive in the US — Amazon and Microsoft alumni set compensation expectations, and startups fight for the same senior frontend and platform people. Product culture here is engineering-led: service-level objectives, observability, and sane CI matter as much as UI polish. Teams ship global products from PT and need partners who understand multi-tenant SaaS, usage billing, and storefront performance at scale. Layoff cycles pushed more talent freelance, but continuity is fragile. Jythu offers stable pods for React/Next.js work, Shopify Plus performance passes, and AI features with tracing — with overlap on Seattle mornings and documentation that survives team churn.
Jythu wires large language models into products you already run — RAG over your docs and databases, tool-calling agents with guardrails, eval harnesses, and cost controls finance can read. Not a chat widget stapled on a homepage. We integrate OpenAI, Anthropic, or open weights behind your VPC with citations, rate limits, and observability baked in. For Seattle teams, that usually means fewer contractor handoffs and a partner who will cut scope when the calendar is real.
Puget Sound — cloud, commerce, and gaming-adjacent product companies on Pacific Time (PT). We tailor AI & LLM integration around local collaboration habits — local proof section, city case study/testimonial, timezone/response-time note.
AI & LLM Integration — nearby services
Built for this market — not a generic offshore brief
Why teams in Seattle hire Jythu
Built for engineering-led buyers — staging on every PR, runbooks, and honest tradeoff memos on Pacific mornings, not account-manager theater or ticket queues without context.
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.
In-product assistant (NDA)
Support volume and docs sprawl pushed a product team to put answers inside the app. Answers had to cite sources, never hallucinate pricing, and stay under a weekly cost cap.
Result: Hybrid RAG over CMS and product DB with tool calls for account actions behind confirmation. Material share of tier-1 tickets deflected; cost per 1k queries became predictable after caching.
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
Do you overlap with Seattle Pacific hours?
Yes — core collab is late morning to early afternoon PT, with overnight progress toward your next standup.
Can you work inside our AWS-centric stack?
We routinely deploy on AWS, Vercel, or your chosen host — in your accounts, with IaC and secrets handled to your standards.
How do retainers work for ongoing roadmap work?
Monthly capacity with sprint SLAs, demo every two weeks, and scale-up/down with notice — typical post-launch pattern for Seattle SaaS teams.
How do you keep AI answers grounded in our data?
We start with a discovery call, then a written in/out list for AI & LLM integration. 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.