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.

Book a 30-min call →
150+ vetted L5+ engineers on standby
In your repo in ~2 weeks from kickoff
10 years operating · 200+ engagements shipped
From $30K/mo · teams of 2–8 engineers · 9–12 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 Scalephase 4150+L5+ ENGINEERS~2 wksDEPLOYMENT9–12 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

9–12 month engagements, scaling team size with you. We stay until production outcomes are owned.

9–12 month engagement

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

What an Embedded Team Ships

Senior Engineers Across Your Whole Stack

Not a niche shop. Backend, data, AI, frontend, infrastructure — the same senior bench covers all of it, so you staff one team instead of five vendors. Your roadmap decides what gets built first.

Backend & Platform

APIs, services, and the platform your product sits on. Java/Spring, Node, Python, Go — we work in whatever stack you already have.

Data Infrastructure

Pipelines, warehouses, and streaming — BigQuery, Kafka, Spark, Snowflake. The data layer your product and your AI features depend on.

AI Features & LLM Integration

Copilots, RAG over your docs, agent workflows — built into your product with observability and cost control. Production-grade, not demo-grade.

Frontend & Product

React, TypeScript, Next.js. Data-heavy interfaces, design systems, and the product surface your users actually touch.

Cloud, DevOps & Reliability

Kubernetes, CI/CD, observability, incident response — on AWS, GCP, or Azure. The boring part that decides whether you ship weekly.

Migrations & Modernization

Monolith to services, Cloud Run to Kubernetes, legacy Java to something your team can ship against. Phased, with no downtime.

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

9–12 month engagements with a 1-month trial period. Long enough to ship and own production, still inside 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. Scroll sideways to see them all. Click any card with a deep-dive to read the long version.

Client Reviews

★★★★★5.0 on Clutch

Highlights from independent, verified client reviews on Clutch.

Vision and Industry Knowledge

Clients highlight a strong product vision and deep domain knowledge: the team contributes ideas, not just code, and is selective about taking on work it can make a real impact on.

Responsive and Agile

Reviewers repeatedly note speed and responsiveness — updates land fast enough that clients are often the ones holding up decisions — and flexibility across time zones for meetings.

Open to Feedback, Quick to Iterate

Clients describe a team that takes constructive feedback well and iterates quickly, so the final product matches what was actually needed rather than what was first specified.

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
  • ✓A team of 2–8 senior engineers (typically 6–8), scaled to your sprint
  • ✓Embedded in your repo in ~2 weeks from kickoff
  • ✓$30K–100K/month, flat — no hourly billing
  • ✓9–12 month engagements, 1-month trial period, no exit penalties
  • ✓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
Hiring one senior engineer in the US
  • $200–300K base salary, plus equity
  • 20–25% recruiter fee on top
  • 4–6 months to fill, 2–3 more to ramp up
  • One person, one skill set
vs
An embedded Magic Powered team
  • From $30K/month, flat — no equity, no recruiter fee
  • In your repo in ~2 weeks
  • A team of 2–8 senior engineers across your whole stack
  • 1-month trial period, no exit penalties
Before You Book

The Questions Every Founder Asks First

Where are your engineers based, and what time-zone overlap do we get?

Our engineers are based in Central and Eastern Europe. You get 4–6 hours of overlap with US Eastern every working day — standups, pairing, and code review happen in your morning. The rest of the day runs async, with everything in your Slack and your repo.

Who owns the code and IP?

You do. All work is committed to your repositories under your accounts from day one, and our agreement assigns IP to you. Nothing lives in our systems.

How do you vet engineers?

Every engineer is L5+ with 7+ years of production experience. Vetting is deep peer review at every level: technical deep-dive interviews and a paid trial task, both reviewed by senior engineers on our bench, plus reference checks. We turn down the large majority of applicants.

What if an engineer isn't a fit?

The first month is a trial period. If an engineer isn't a fit, tell us and we swap them at no additional cost — during the trial or any time after. The replacement ramps up on our time, not yours.

What are the contract terms?

A flat monthly fee scaled to team size — no hourly billing, no overage surprises. We scope engagements at 9 months minimum, because that's how long meaningful work takes, with a 1-month trial period up front. There are no exit penalties: if it isn't working, you can walk away.

Can we hire an engineer full-time later?

Yes. After 6 months of engagement you can bring an engineer in-house for a conversion fee equal to one year of their salary. We'd rather you keep a great engineer than lose them.

What does "AI-augmented" actually mean in practice?

Our engineers use Claude Code, Cursor, and agentic workflows daily as a core part of how they build — not as a novelty. In practice that means faster scaffolding, test generation, migrations, and refactors, with a senior human reviewing every line before it reaches your main branch.

How fast do we actually see output?

Kickoff call to first merged PR in about two weeks. Features in staging by week three, weekly releases from there. If we can't hit that pace in your codebase, we'll tell you on the fit call.

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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.

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