AI-First CultureSlow hiring
Senior engineering roles can take months to fill, while the backlog keeps growing.
AI Engineering for SaaS
Build Your AI Team. Ship Your Roadmap Faster.
Add senior developers, designers, QA and DevOps engineers to your product team, each paired with an AI co-worker that speeds up coding, testing and delivery.
SaaS for PE & VC1,500+ engineers
Microsoft Solutions Partner across all six designations
Team ready in as little as 2-3 weeks
Global delivery with local accountability
The Problem
Your roadmap is growing faster than your team
Customers want new features every quarter. Investors want AI in the product. Your engineers are already stretched, and hiring senior talent locally takes months and costs more every year.
Rising costs
Local salaries and benefits eat into margins and runway.
AI pressure
The board expects AI features, but the team has no time to learn and build them.
Release delays
Missed launch dates hurt renewals, expansion revenue and competitive position.
The Solution
Meet your AI-augmented engineering team
Hire dedicated engineers who work inside your team, tools and sprints. Every engineer is paired with role-specific AI assistants so they write, test and ship faster than a traditional team.
Human expertise
Vetted engineers own the outcome, make the judgment calls and work as part of your team.
AI co-worker
AI tools support code generation, test creation, code review, documentation and release tasks for each role.
Your process
They join your stand-ups, Jira, GitHub and Slack. You set priorities; we handle hiring, HR and retention.
Global value
Talent from our global delivery centers gives you stronger ROI without trading off on skill or quality.
Roles You Can Hire
Every role your product team needs
Full-stack and backend developers
Build features, APIs, integrations and platform services.
AI co-worker: Drafts code, suggests refactors, writes unit tests and docs.
AI / ML engineers
Add copilots, agents, search and predictive features to your product.
AI co-worker: Speeds up prompt design, evaluation and data prep.
Product and UX designers
Design flows, prototypes and design systems.
AI co-worker: Generates layout options, copy variants and research summaries.
QA and test automation engineers
Own quality, regression and automation suites.
AI co-worker: Generates test cases, finds edge cases and maintains scripts.
DevOps and cloud engineers
Own CI/CD, infrastructure as code, monitoring and cost control.
AI co-worker: Writes pipeline configs, flags incidents and suggests cost savings.
Data engineers and analysts
Build pipelines, warehouses and product analytics.
AI co-worker: Builds queries, checks data quality and documents models.
Outcomes
What changes when your team works with AI
Faster releases
Ship features in fewer sprints as AI handles repetitive coding and testing work.
Better ROI
Get senior talent from global teams at a lower total cost than local hiring.
Scale on demand
Add or reduce capacity as your roadmap changes, without layoffs or long contracts.
How It Works
Your AI team in four steps
01
Team-planning call
In 30 minutes, we review your roadmap, tech stack and talent gaps.
02
Shortlist in days
You receive matched profiles and interview the engineers you like.
03
Onboard with AI co-workers
We set up role-specific AI tools aligned to your security policies.
04
Ship and scale
Your team delivers in your sprints while we track velocity, quality and capacity.
Engagement Models
Flexible ways to build your team
Filling specific skill gaps fast
Staff augmentation
Individual AI-augmented engineers join your existing team.
A new product line or major feature set
Dedicated product pod
A cross-functional pod with dev, QA, design, DevOps and a Netsmartz delivery lead.
Building your own offshore center over time
Build-Operate-Transfer
We build and run the team, then transfer it to you when ready.
Not sure which model fits?
Tell us your roadmap and budget. We will recommend a team shape and a cost estimate in one call.
For PE Firms
One engineering partner for your whole portfolio
Private equity firms use Netsmartz to speed up value creation across SaaS portfolio companies with one vetted bench, one AI-augmented delivery model and consistent reporting.
Accelerate the value-creation plan: get product roadmaps back on schedule within the first 100 days.
Improve EBITDA: lower engineering cost per feature without cutting output.
Portfolio-wide terms: one master agreement, shared rate card and unified delivery dashboards.
Why Netsmartz
Built for SaaS. Backed by scale.
Deep global bench
1,500+ engineers across product engineering, AI, cloud, security, data and growth.
Microsoft credentials
Solutions Partner across all six designations, plus Data Analytics and Infrastructure specializations.
Local accountability
Headquartered in Rochester, NY, with delivery teams across time zones and one point of accountability.
Security-first delivery
NDA, IP assignment, secure access controls and compliance-aware practices built into every engagement.
Build Your Team
Your roadmap will not wait. Neither should your team.
Book a 30-minute team-planning call. Leave with a recommended team shape, AI co-worker setup and cost estimate.
FAQ
Frequently Asked Questions
Quick answers for SaaS leaders evaluating AI-augmented engineering teams.
What is an AI co-worker?
It is a set of AI tools and agents configured for each engineer's role, for example code assistants for developers or test-generation tools for QA. The engineer stays in charge; the AI handles repetitive work so they deliver more.
Who owns the code and IP?
You do, all work product and IP belong to your company under our standard agreement.
How fast can engineers start?
Typically within 2-3 weeks of the planning call, depending on role and seniority.
Will they work in our time zone?
Yes, we set overlap hours to match your team's working day and sprint rituals.
Can we use our own AI tools and policies?
Yes, we can work with your approved tools and data policies, or recommend a secure setup.
Build Your AI Team
Plan Your AI Engineering Team
Tell us your roadmap, target roles and timing. We will recommend a team shape, AI co-worker setup and cost estimate.