Gaze IT connects enterprises and high-growth startups with elite AI, ML, and GenAI engineers who architect, deploy, and scale real AI systems.
We solve that.
Gaze IT operates at the intersection of:
Elite engineers. Production systems. Real deployment.
We build production-ready GenAI systems:
We don't build demos. We deploy systems.
Our vetting process:
Technical depth assessment
Hands-on evaluation
Real-world scenarios
Deployment capability
Team fit
Only top 5% enter our talent network.
We analyze your system requirements and technical stack.
Within 72 hours, we present pre-vetted engineers.
You conduct architecture-level interviews.
We support onboarding and long-term scaling.
Risk models, fraud detection, compliance AI
Clinical AI, RAG systems, HIPAA-ready ML
Predictive analytics, route optimization
AI-native product integration
AI modernization & transformation
Hire a complete AI team:
Fully managed. Production-ready.
We operate across:
Reduce cost without compromising quality.
Estimate annual cost for your AI team. Adjust inputs and click Calculate.
—
Typical annual ranges. Global talent can reduce cost while maintaining quality.
| Role | U.S. Range | Global Range | Typical Savings |
|---|---|---|---|
| AI / ML Engineer | $120K – $230K | $65K – $100K | ~45% |
| LLM / GenAI Engineer | $130K – $240K | $65K – $100K | ~45% |
| MLOps Engineer | $130K – $240K | $70K – $100K | ~45% |
| Full Stack + AI | $120K – $200K | $70K – $90K | ~45% |
Answer 3 questions to get your AI readiness score (0–9) and stage label.
—
—
Topics we cover:
Take a quick assessment and get tailored recommendations. We'll follow up with insights.
Answer a few questions and we'll send you a brief report plus next steps.
Book a call or send us a message. We'll get back within 24 hours.