Senior Full-Stack Engineers
React/Next.js and Node/Python engineers who ship features without ramp-up on the basics.
Scale Up or Down
A staff-augmentation engagement: add senior engineers to your team when you're heading into a launch push, then scale back down once it ships. No new contract each time, no commitment beyond the initial month, and you're billed for the engineer-weeks you actually use.
1 Month
Minimum Engagement
2 Weeks
Notice to Resize the Team
How the Flexible Team Engagement Works
1
How the Engagement Works
- It starts with a scoping call to define the roles and skill sets you need, senior full-stack, AI/ML, or a mix
- Engineers join your existing repo, tools, and standups rather than working in a separate silo
- Team size flexes up or down as your roadmap changes, with notice rather than a new negotiation
- One engagement covers both the ramp up and the ramp down, no new contract each time you resize
2
Minimum Commitment and Ramp Time
- Engagements start at a one-month minimum, enough runway for an engineer to onboard and become productive
- Ramp-up for a new engineer runs about one to two weeks: repo access, a codebase walkthrough, and the first small PRs reviewed against your standards
- Scaling down needs about two weeks' notice so in-flight work has a clean handoff point
- Scaling an existing engagement back up is faster than the initial ramp, since the team already knows your codebase
3
Team Continuity
- We prioritize keeping the same engineers on your engagement across ramp changes, rather than rotating in new people each time
- If an engineer does roll off, the handoff comes with documented context, not just a message in Slack
- A lead engineer stays assigned to your account for continuity even as headcount flexes
- Code review and standards stay consistent regardless of team size in a given week
4
Billing Model
- Billed on active engineer-weeks, not a flat retainer, so cost tracks the capacity you're actually using
- Invoiced monthly, itemized by engineer and hours so you can see exactly what you're paying for
- No hiring, payroll, or benefits overhead: you're engaging a team, not employing an individual
- Scaling to zero pauses billing; scaling back up resumes at the previously agreed rate
5
When This Model Fits
- Launch pushes where you need extra hands for four to eight weeks, then less afterward
- Filling a skill gap, AI/ML, mobile, or DevOps, that your core team doesn't have, without a full-time hire
- Bridging a gap while you recruit a permanent engineer
- A roadmap where headcount needs genuinely shift quarter to quarter
Roles and Capacity We Add
Engineers who join your team, not a separate outsourced unit
AI/ML Engineers
LLM integration, RAG pipelines, and model evaluation specialists added for AI-specific pushes.
Mobile Engineers
React Native or native iOS/Android engineers for mobile-specific sprints.
DevOps and Infrastructure
CI/CD, cloud infrastructure, and deployment pipeline support for scaling pushes.
Dedicated Lead
A consistent point of contact who stays on your account as team size changes.
Flexible Ramp
Engineers added or removed with about two weeks' notice as your roadmap shifts.
Sprint Integration
Engineers join your existing standups, PR review process, and tooling from day one.
Usage-Based Billing
Monthly invoices itemized by engineer-weeks, not a fixed retainer regardless of usage.
Why Teams Use This Model Instead of Hiring
Billed for capacity, not a retainer
You pay for the engineer-weeks you use. Scale down between pushes and the bill goes down with it.
Same engineers across ramp changes
We keep the same people on your engagement where possible, so scaling back up doesn't mean starting onboarding over.
Engineers who work in your repo
No separate branch or shadow codebase to reconcile later. Engineers commit into your existing repository under your review process from day one.
No hiring overhead
No job postings, interview loops, or payroll setup. You get engineering capacity on a timeline measured in weeks, not the months a full-time hire takes.
Why Teams Use This Model Instead of Hiring
Billed for capacity, not a retainer
You pay for the engineer-weeks you use. Scale down between pushes and the bill goes down with it.
Same engineers across ramp changes
We keep the same people on your engagement where possible, so scaling back up doesn't mean starting onboarding over.
Engineers who work in your repo
No separate branch or shadow codebase to reconcile later. Engineers commit into your existing repository under your review process from day one.
No hiring overhead
No job postings, interview loops, or payroll setup. You get engineering capacity on a timeline measured in weeks, not the months a full-time hire takes.
Scale Up or Down FAQ
Engagements typically start at a one-month minimum. That's enough time for an engineer to ramp up on your codebase and ship meaningful work, rather than rolling off right as they become productive. After the first month, team size can flex up or down with about two weeks' notice.
Fixed-price packages are for a defined build with a set scope, timeline, and price agreed upfront. This is the opposite model: an open-ended team engagement where scope is whatever your roadmap needs that month, and headcount flexes with it. If you know exactly what you need built, a fixed-price package is usually cheaper and simpler. If your needs shift quarter to quarter, this model fits better.
Adding an engineer to an existing engagement is faster than starting a new one, typically a few days, since the team already has repo access and context on your codebase. Standing up a brand-new engagement from scratch takes one to two weeks for the first engineer to be fully productive.
We prioritize continuity: the same engineers stay on your account as headcount flexes up and down where possible. If someone does roll off, planned or otherwise, the handoff comes with documented context rather than leaving your team to reverse-engineer their work.
Billing pauses when your active engineer count drops to zero. There's no retainer running in the background. When you're ready to scale back up, we resume at the previously agreed rate rather than renegotiating from scratch.
Trusted by Global Companies Building AI Products
We've helped startups and enterprises worldwide transform their AI ideas into production-ready MVPs in 2–3 weeks. From fintech platforms to AI assistants, our global MVP development services have launched 18+ AI products serving users across the US, Europe, and Asia.
Portfolio: AI Products Built for Global Startups
From content platforms and AI assistants to analytics dashboards and fintech solutions: see how we've transformed ideas into production-ready MVPs in 2-3 weeks across diverse industries. Each product launched successfully, serving users globally.
UseArticle
AI-powered content creation and management platform that helps teams produce high-quality articles at scale.
AgentHi
Intelligent virtual assistant that streamlines customer support and automates routine business tasks.
StatsHub
Comprehensive analytics dashboard providing real-time insights and data visualization for businesses.
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Personal fitness companion with AI-driven workout plans and nutrition tracking for optimal health.
Vaga
Smart travel planning app that curates personalized itineraries and local experiences.
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Nutrition analysis app that scans food items and provides detailed nutritional information instantly.
MyJobReach
Job matching platform connecting talented professionals with their dream opportunities.
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Social platform for travelers to share experiences, discover destinations, and connect globally.
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Advanced sports statistics platform delivering in-depth analysis and performance metrics.
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Simple expense tracking and budgeting app that helps users manage their finances effortlessly.
TypeFast
Typing speed improvement platform with gamified lessons and real-time performance tracking.
Easy Loan
Streamlined loan management system that simplifies borrowing and lending processes.
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