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Senior Technical Capacity

Hiring senior AI engineers takes 6-12 months and costs $300k+. NorthFlow embeds senior AI engineers and product engineers directly into your team — with architecture ownership, roadmap contribution, and delivery accountability. We don't just staff; we bring technical judgment, AI-native architecture patterns, and a commitment to shipping production systems.

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Who this is for

NorthFlow Studio builds senior technical capacity for teams that want leverage without adding headcount or technical debt.

CTOs and VPs Engineering needing senior AI capacity without 6-12 month hiring cycles
Engineering leaders with AI roadmap but insufficient internal AI expertise
Product leaders needing AI product engineering without building an internal team
Companies with AI prototypes needing production engineering to ship
Engineering teams needing AI architecture reviews and technical guidance

Common business problems we solve

Hiring senior AI engineers takes 6-12 months

Top AI talent is scarce, expensive, and hard to evaluate. The opportunity cost of waiting is massive.

Internal team lacks AI production experience

Engineers can prototype with LLMs but lack production experience: evaluation, guardrails, observability, cost optimization, and governance.

AI roadmap is stalled by engineering capacity

Product has AI opportunities but engineering is at capacity with core product work.

Internal AI prototypes never reach production

PoCs work in notebooks but lack evaluation, guardrails, observability, and production hardening.

Technical leadership gap in AI

Engineering leadership needs AI architecture guidance without committing to a full-time hire.

Our approach

A structured, founder-led process from first call to launch and beyond.

01

Embed & Assess

Senior AI engineer(s) embed with your team. Week 1: audit codebase, AI prototypes, infrastructure, and team capabilities. Define engagement scope and success metrics.

02

Architect & Ship

Design AI-native architecture (eval pipelines, guardrails, tool use, structured outputs, observability). Ship production features alongside your team — not as consultants, as embedded engineers.

03

Transfer & Scale

Document patterns, mentor your team, establish AI engineering practices (eval pipelines, guardrails, observability), and create a path for your team to own the AI systems long-term.

04

Ongoing Capacity

Retained engagement for roadmap execution, architecture reviews, incident response, model upgrades, and strategic AI decisions. Scale up/down as roadmap evolves.

Technology stack

We use a modern stack so your senior technical capacity is fast, secure and built to scale.

OpenAI
Anthropic
Python
Node.js
TypeScript
React
Next.js
PostgreSQL
Supabase
Vercel
Docker
Temporal
LangChain
LangGraph

Expected results

2-4 weeks
to first production AI feature
Senior
AI engineer embedded with your team
Knowledge transfer
your team learns AI production patterns
Flexible
scale up/down with roadmap

Frequently asked questions

How is this different from a staffing agency?

Staffing agencies place bodies. We embed senior engineers who bring AI production architecture patterns, evaluation frameworks, and delivery accountability. We own outcomes, not just hours.

What's the minimum engagement?

3 months minimum. Meaningful AI production work requires sustained engagement. Most engagements run 6-18 months.

Can you work with our existing team and stack?

Yes. We embed with your team, use your stack (React, Next.js, Python, Node.js, PostgreSQL, etc.), your tools (GitHub, Linear, Slack, Notion), and your processes. We adapt to you.

Do you provide fractional CTO/VP Engineering?

Yes. For companies needing AI technical leadership without a full-time hire, we provide fractional technical leadership: architecture reviews, hiring guidance, vendor evaluation, and roadmap prioritization.

What's the cost model?

Monthly retainer based on seniority and capacity (0.5-2 FTE equivalent). Transparent pricing, no placement fees, no long-term contracts beyond the initial 3-month minimum.

How do you measure success?

Production AI features shipped, eval metrics improved, team capability increased, AI costs optimized, incidents resolved, roadmap velocity increased.

Why NorthFlow Studio

Founder-led engineering with clear ownership and support.

TypeScript-first stack (TanStack Start, React, Node.js, Postgres)CI runs type-check, lint, unit tests, Playwright E2E on every PRPerformance budgets in CI (LCP < 2.5s, INP < 200ms)PostgreSQL RLS on every multi-tenant tableSecrets via Vercel env vars — never in repoPreview deploys for every PR — see it before it shipsImmutable deploys with instant rollbackDependabot with 30-day SLA for critical patchesCode ownership — you own everything, no restrictionsFounder-led executionInitial response within 1 business day2-3 engagements per quarter to protect qualityRemote-first across 3 time zones

Ready to build your senior technical capacity?

Book a free strategy call. We'll map your bottlenecks to the right systems and send a clear roadmap — even if we don't work together.

Chat on Telegram

Usually replies within minutes. Chat on Telegram: @northflowstudio

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