01 Faster onboarding
Engineers integrate into your existing delivery process quickly.
PRIMOTECH helps startups, SaaS companies, and enterprise organizations across the globe hire Agentic AI engineers, LLM developers, RAG specialists, AI automation engineers, and dedicated AI teams without the delays of traditional recruiting.
Book an AI Staff Augmentation Consultation →Hiring experienced AI engineers has become one of the biggest bottlenecks for growing software companies. Companies are competing for the same pool of experienced AI engineers while product roadmaps continue moving.
AI staff augmentation removes that delay. Instead of replacing your internal team, experienced AI engineers become part of your existing development process, contributing during sprint planning, writing production code, reviewing pull requests, and shipping AI features alongside your team.
That is where Primotech's AI staff augmentation comes in.
Enterprise buyers are searching for experienced AI engineering capacity that integrates with offshore delivery teams. India has become one of the largest pools of AI engineering talent across:
AI Staff Augmentation is a hiring model where experienced AI engineers become an extension of your existing engineering team. Unlike traditional outsourcing, you remain in control.
Engineers integrate into your existing delivery process quickly.
Access engineers experienced with LLMs, RAG, and modern AI frameworks.
Scale AI capacity without expanding permanent headcount.
Add one engineer, a dedicated pod, or a larger AI team as your roadmap evolves.
AI Staff Augmentation is a hiring model where experienced AI engineers become an extension of your existing engineering team. Unlike traditional outsourcing, you remain in control.
Think of it as adding Senior AI capability without rebuilding your hiring process.
Compare the two models side-by-side to understand why AI Staff Augmentation keeps you in control while Traditional Outsourcing can slow your delivery.
Engineers become an extension of your team. You keep control, visibility, and flexibility.
The vendor manages delivery, which can lead to slower alignment and less visibility.
Our AI Staff Augmentation model supports both individual engineers and cross-functional AI delivery teams.
Build production-ready AI applications using OpenAI, Claude, Gemini, Python, and LangChain. Perfect for:
Agentic AI is changing how businesses automate work. Our engineers build autonomous AI systems capable of:
Add Generative AI into your existing product without rebuilding your architecture. Popular projects include:
Connect AI with your business systems. We build intelligent automation across:
Build intelligent visual systems including:
AI performs only as well as its data. Our data engineers build reliable pipelines supporting:
Large Language Models require more than prompt writing. Our LLM engineers build:
Retrieval-Augmented Generation improves AI accuracy using your private company knowledge. Our engineers build secure RAG systems with:
Build an embedded AI pod with an AI Tech Lead, LLM Engineer, Data
Engineer, Full Stack Engineer, QA Engineer, and MLOps Specialist.
Here's what an example AI Pod for SaaS companies, enterprise
innovation teams, healthcare platforms, FinTech products, and AI
startups looks like:
Our process focuses on making engineers productive inside your delivery environment.
We understand your product, architecture, AI goals, and team structure.
Every engagement is scoped around team size, technology complexity, and delivery goals.
Best for: Specific skill gaps, Short-term capacity, Existing product teams.
Best for: AI product development, Cross-functional delivery, Long-term roadmaps.
Best for: Enterprise AI initiatives, Multi-team coordination, Faster product delivery.
Engineers integrate into your existing delivery process quickly without the months of recruiting and multiple interview rounds.
Access engineers experienced with LLMs, RAG, Agentic AI, and modern AI frameworks without expanding permanent headcount.
Add one engineer, a dedicated pod, or a larger AI team as your roadmap evolves.
Real challenges. Thoughtful solutions. Measurable impact.
Explore
how we help businesses build exceptional digital products.
Primotech incorporates security, privacy, governance, and compliance requirements throughout architecture and development.
Depending on the project and industry, our work can align with relevant standards and frameworks including:
After technical interviews and onboarding planning.
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Absolutely.
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Yes.
Whether you're embedding AI into real-world operations, launching your first AI product, or looking for a white-label engineering partner, we can help.