AI-Native Engineering Talent Into Your Core Squad
Skip the six-month specialized technical recruiting bottleneck. Add senior, AI-native software engineers with full-stack, DevOps, MLOps, and data engineering depth, productive in your codebase from day one, not week six.
Eliminate the six-month specialized technical recruiting bottleneck
Hiring senior ML engineers, MLOps specialists, or AI infrastructure experts through standard recruiting takes four to six months at minimum, often longer for niche skills. Pento's AI Team Augmentation places vetted, AI-native software engineers directly into your team. They work inside your codebase and CI/CD pipelines, join sprint ceremonies, and ship within the first week.
Complete software engineers who specialize in AI
Every Pento engineer is vetted as a software engineer first, never only a model builder: modern web development standards, fast and reliable production code, and real DevOps, MLOps, and data engineering depth. Deep software fundamentals are what make an engineer genuinely good in their niche. So the same specialist who builds your models also ships through your CI/CD pipelines, holds their own in code review, and ramps in days instead of the weeks that usually stall augmentation engagements.
How we onboard and integrate into your team
Needs assessment
We start by reviewing your technical needs, current team structure, delivery challenges, and long-term goals.
That tells us which roles, skills, and profiles will deliver value right away.
Talent alignment and onboarding plan
Next, we write a clear plan that sets out the roles, responsibilities, communication cadence, and expected contributions.
Your augmented team gets onboarding tailored to your repositories, tools, and workflows.
Pilot and integration phase
In the first phase, engineers integrate into your systems, sprint cycles, documentation, and collaboration processes.
Early tasks confirm both technical proficiency and team fit.
Ongoing delivery and continuous support
Once integrated, the augmented team works as an extension of your organization.
Pento handles continuous oversight, performance tracking, and fast scaling when you need more capacity.
What augmented AI teams deliver
From ML model development to AI product integration, augmented teams speed up delivery across your roadmap.
Machine learning model development and MLOps infrastructure automation
AI product integration, backend development, and data engineering
Data engineering and feature pipeline creation
NLP, computer vision, and generative AI solutions
Full-stack development with AI system expertise
Why companies choose Pento for AI team augmentation
Pento is not a general staffing provider. We are an AI-focused engineering partner with deep experience in machine learning, MLOps, NLP, computer vision, and complex AI systems.
Clients choose Pento because our AI Team Augmentation service provides:
Frequently Asked Questions
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Ready to extend your team?
If your team needs senior ML engineers, MLOps specialists, or AI infrastructure experts without a six-month recruiting delay, book a scoping call. We will match engineers to your stack, workflow, and delivery cadence within days.