Hire AI-Augmented Senior Engineers.
Embedded in Your Team in 2 Weeks.

L5+ engineers fluent in Claude Code, Cursor, and agentic workflows — dropped into your repo, your Slack, your standups. Built for Series A founders who need senior capacity faster than hiring allows.

See case studies →
150+ vetted L5+ engineers on standby
In your repo in ~2 weeks from kickoff
10 years operating · 200+ engagements shipped
Engagements from $30K/mo, 3–12 months typical
we plug in hereYOUR ORGCTO & Eng LeadershipInternal Teams✦ MAGIC POWEREDAI Strategy& Roadmappingphase 1Deploy Team~2 wks · L5+phase 2Build & IntegrateInto existing workflowsphase 3Optimizeand Scale12-mo · phase 4150+L5+ ENGINEERS~2 wksDEPLOYMENT12 moENGAGEMENT4+INDUSTRIES
Worked with teams from
The Challenge

Your Roadmap Outgrew
Your Team

You raised on a vision. The clock to Series B is real, and senior engineering is the constraint that doesn't bend to a deadline.

1
Senior engineering hires take 3–6 months end-to-end.
2
Your existing team is heads-down on the core product.
3
AI features keep landing in the backlog instead of in production.
Your team keeps moving the core product. We bring senior, AI-augmented engineers in alongside, and start shipping the rest in parallel.
The Model

Built for Founder Speed

We drop senior, AI-augmented engineers into your team. Same Slack, same repo, same standups — just with the output of a team twice the size, on day one.

01

Scope & Align

30-minute fit call, scope shared with you in writing, NDA signed. No deck-shop runaround.

02

Embed the Team

L5+ engineers in your repo, your Slack, your standups — onboarded in ~2 weeks from kickoff.

03

Ship in Week 2

First PR landed by end of week 2. Features in staging by week 3. Weekly releases from there.

04

Stay Long Enough to Own It

3–12 month engagements, scaling team size with you. We stay until production outcomes are owned.

3–12 month engagement

No re-org. No vendor friction.
No "AI initiative" that never ships.

What an Embedded Team Ships

What You'll Get Done First

A snapshot of typical Series A engagements — your actual roadmap is yours. We slot into whatever's already in your sprint.

AI Strategy & Roadmapping

Where to add AI in your product, in what order, with what risk. From a team that's done it across 200+ engagements.

LLM & Agent Systems

Copilots, RAG over your docs, agentic workflows. Production-grade with observability — not demo-grade.

Data Infrastructure

The pipelines and storage your AI features actually need before they can perform reliably under real traffic.

MLOps & Deployment

From notebook to production: CI/CD, monitoring, rollback, observability. The boring part that decides whether AI actually ships.

AI Cost Optimization

Caching, batching, smaller model routing, fine-tuning when it pays off. Stop bleeding budget on every-token-to-GPT-4.

Workflow Automation

Internal tools that take real headcount off your roadmap — sales ops, support triage, ops dashboards, onboarding flows.

Why Magic Powered

Built for Founders Who Need to Ship Now

Senior-Only Talent

L5+ engineers with 7+ years shipping production systems. No juniors hidden in a "team rate".

AI-Native, Not AI-Curious

Our engineers live in Claude Code, Cursor, and agentic workflows daily. They bring 2–3× their solo velocity into your team.

In Your Repo in 2 Weeks

Pre-vetted bench of 150+ engineers. From kickoff call to first PR in two weeks — not two quarters.

Plug In, Don't Take Over

We work inside your Slack, your repo, your sprint. Your CTO stays in charge. We're capacity, not consultants.

Stay Long Enough to Own Outcomes

3–12 month engagements. Long enough to ship and own production, short enough to match a Series A runway.

Predictable Monthly Pricing

$30K–100K/month flat, scaled to team size. No hourly billing surprises, no overage drama.

Industries

Production AI in Real-Data,
High-Stakes Domains

Your messy stack and ambitious data won't surprise us. We've shipped here over 200 engagements:

Fintech

Risk modeling, fraud detection, real-time decision systems.

Adtech

Optimization, targeting, and attribution systems at scale.

Biotech

Data processing, predictive modeling, research workflows.

Healthcare

Clinical systems, automation, compliance-aware AI tools.

Case Studies

Production Work. Real Results.

Five engagements across regulated, real-data domains. Hover to pause. Click any card with a deep-dive to read the long version.

The Talent

Senior Engineers Who Plug In — Not Take Over

Every engineer is L5+ with 7+ years of production experience. They use Claude Code, Cursor, and agentic workflows daily — and they bring that velocity into your team from week one.

Production experience shipping AI features at scale
Fluent in modern AI tooling — Claude Code, Cursor, agentic workflows
Comfortable in a founder's Slack, not a partner's boardroom
You get senior velocity. Without the 6-month hire, the ramp-up, or the management overhead.
Engagement Model

Predictable. Founder-Speed.

✦ What You Get
  • Typically 1–3 senior engineers, scaled to your sprint
  • Embedded in your repo in ~2 weeks from kickoff
  • $30K–100K/month, flat — no hourly billing
  • 3–12 month engagements, scale up or down as needed
  • Direct line to your CTO, founder, or tech lead
✕ What You Avoid
  • 3–6 month senior engineering hiring cycles
  • Multi-month onboarding to first productive PR
  • Big-agency runaround: decks, account managers, RFPs
  • Pulling your core team off the roadmap to ship AI
★ ✶
Ready to Start?

Stop waiting for hires.
Get senior capacity in your team in 2 weeks.

30-minute fit call, no pitch deck. We'll tell you honestly whether we're the right team for what you're shipping.