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Dedicated team

Add engineers to your product without a six month hiring cycle. A dedicated team joins on a monthly retainer with 30-day rolling contracts. They work in your repos and your tools during US hours.Run it two ways. We manage delivery with a lead engineer who owns the backlog with you. Or your team manages the engineers day to day, which most people call staff augmentation. Same contract, your choice.

View all engagement models

A dedicated team is senior engineers on a monthly retainer. They work your hours, in your repos, on your roadmap. You can stop with 30 days notice.

Hiring a senior engineer in the US takes months and a big salary. A dedicated team gives you the same seniority on a 30-day rolling contract, with hours that overlap your workday.

You choose how to run it. Either our lead engineer owns the backlog with you and runs weekly demos, or you manage the engineers day to day in your own tools. Both ways, the code and the IP are yours from day one.

Here's what backs every engagement

  • Senior engineers matched to your stack, your domain, and your time zone

  • 30-day rolling contracts. No long lock-in, no hiring risk

  • Working hours that overlap US time, with standups and demos on your calendar

  • Two ways to run it: we manage delivery, or you manage the engineers

  • Swap an engineer, add one, or scale down with two weeks notice

  • All code, accounts, and IP stay in your name

You get a team that ships every week and keeps shipping. No recruiter fees. No six month search. No surprise when someone leaves.

The team is built around your product, not around a scope document. That makes it the right fit when the roadmap keeps moving. Compare that with a Fixed-price project, where scope is locked before we start, or an AI sprint, which is a short push on one feature. A dedicated team is for the long run.

Forward deployed engineering is the AI-focused version of this model. The engineer embeds in your repos and Slack and owns a production outcome, like a live RAG chatbot or a voice agent, rather than a seat on the team. If your work is mostly AI features, read that page next.

With great AI comes great responsibility, and TechEmulsion takes that responsibility seriously.

How the Team Works

01

Matching that starts with your stack

We match on three things: stack, domain, and time zone. You meet the engineers before they start. If the fit is not right, you say so and we bring another candidate.

02

Productive in the first sprint

The first sprint is onboarding with real work. Access on day one, a walkthrough of the codebase, a small ticket shipped in the first week, and a written summary of what the engineer learned.

03

Reporting you do not have to ask for

Weekly demo, weekly written update, and a shared board you can open any time. If we manage delivery, the lead engineer sends it. If you manage, we still check in every month.

04

Swap or scale without drama

If an engineer is not working out, we swap them with a handover period, at no charge. Need a second engineer or a QA person? Add one. Need to go down to one? Two weeks notice.

05

Your IP, your accounts, your exit

Code lives in your GitHub. Cloud accounts are yours. Nothing is held for ransom. End the contract with 30 days notice and we hand over docs and access cleanly.

Get senior engineers without the hiring search

Tell us your stack and what you need to ship. We introduce matched engineers after one call. Start on a 30-day rolling contract.
Build your dedicated team

Hiring in the US vs a Dedicated Team

The point of a dedicated team is simple: ship more, sooner, without the cost and risk of hiring. Here is what that looks like in practice.

TaskBeforeAfterImpact
Add one senior full-stack engineerMonths to recruit, interview, and hire in the USMatched engineer starts after one approval callNo recruiter fee, no search
Take a Lovable prototype to a production productFounder stuck at a demo that breaks with real usersTwo-person dedicated team rebuilds the core and ships to paying usersA product you can charge for
Add AI features to a SaaS with no ML on staffMonths searching for a US ML hire while competitors shipAI engineer on the team in the first month, first feature live within a ship cycleRoadmap moves while the hunt for a hire is over
White-label build team for a marketing agencyTurning down client dev work or subcontracting ad hocA standing team that ships client work under the agency's nameNew revenue line without new payroll

Every engagement starts with a written goal for the first 30 days. We review it with you at the end of the month, then decide together whether to keep going, change the team, or stop.

Not sure if you should manage the team yourself?

Book a call. We will tell you plainly whether managed delivery or staff augmentation fits how you work.

Tools the Team Works In

The team works in your tools and your accounts. If you have none yet, we set them up in your name and hand you the keys.

  • GitHub or GitLab, in your organization, for code and review
  • Linear, Jira, or Notion for the backlog
  • Slack or Microsoft Teams, with our engineers in your workspace
  • Google Meet or Zoom for standups and weekly demos
  • GitHub Actions or similar CI/CD, set up in your accounts
  • Vercel, AWS, Supabase, or whatever cloud you already run on

Why Teams Stay With TechEmulsion

30+

AI products shipped since 2023

30 days

Rolling contracts. End with 30 days notice

US hours

Working hours that overlap your workday

Top Rated Plus

On Upwork, with 100% JSS

US LLC

Registered in Wyoming, with a US contract

Your IP

All code and accounts in your name from day one

Other ways to work with us

  • Fixed-price project
  • AI sprint
  • Discovery
  • Forward deployed engineering
  • All engagement models

Frequently Asked Questions

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