Senior engineers on retainer, working your hours
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.
Our approach
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 in weeks, 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.
Dedicated team at a glance
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.
Why it's different
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.
Across the SDLC
Where the Team Plugs In
From discovery and architecture through development, integration, and optimization:
01
Discovery and planning
- The lead engineer joins your planning and turns goals into a backlog you both own.
- We review the current codebase and list the risks before writing new code.
- If you manage the team, we plug into your existing planning and just take tickets.
02
Design and prototyping
- Engineers build clickable prototypes and throwaway spikes to settle open questions.
- Architecture decisions are written down so your team can read them later.
- We take a stuck Lovable or Bolt prototype and map what to keep and what to rebuild.
03
Implementation
- Work ships in weekly increments with a demo at the end of each week.
- Pull requests go through your review process, or ours if you prefer.
- Engineers own full features end to end, from database to UI.
04
Quality assurance
- Tests are part of every pull request, not a separate phase at the end.
- Add a QA engineer to the team when release volume grows.
- We keep a regression suite so old features do not break when new ones land.
05
DevOps and operations
- The team sets up or improves CI/CD in your accounts, not ours.
- Monitoring and alerts are wired so you find out about issues before your users do.
- Add a DevOps engineer part-time if your infra needs more than the team can cover.
06
Maintenance and continuous improvement
- The same engineers who built it keep it running, so nothing is lost in handover.
- Tech debt gets a slot in every sprint instead of piling up.
- Docs are kept current so you can scale down or take over in-house any time.
Client outcomes
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.
| Task | Before | After | Impact |
|---|---|---|---|
| Add one senior full-stack engineer | 8 to 10 weeks to recruit, interview, and hire in the US | Matched engineer starts within 2 weeks | Weeks saved and no recruiter fee |
| Take a Lovable prototype to a production product | Founder stuck at a demo that breaks with real users | Two-person dedicated team rebuilds the core and ships to paying users in 4 to 8 weeks | A product you can charge for |
| Add AI features to a SaaS with no ML on staff | Months searching for a US ML hire while competitors ship | AI engineer on the team in the first month, first feature live within a ship cycle | Roadmap moves while the hunt for a hire is over |
| White-label build team for a marketing agency | Turning down client dev work or subcontracting ad hoc | A standing team that ships client work under the agency's name | New 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.
Tools & platforms
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 TechEmulsion
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