Loading service...
Your first AI feature ships in 2 weeks - or you pay nothing
Nearshore AI Talent
Your First AI Feature Ships in 2 Weeks. Or You Pay Nothing.
We embed one AI-native engineer in your team. They join your sprint, ship real code, and deploy to production. Pause or cancel anytime.
Operational focus
Our own engineers, not outsourced staffing
2-4 week placement window
90-day replacement guarantee
Engineers shipped for teams at
The new AI software engineering
Our engineers arrive with their agents.
Coding changed. Engineers stopped being the bottleneck. Claude Code is the brain, MCP connects to your tools, E2B sandboxes every action. One of our engineers ships like three normal hires.
- 01Claude Codethe brain · subagents · MCP
- 02Anthropicmanaged agents · runtime
- 03CursorIDE pair-programming
- 04n8ncron · webhooks · glue
- 05E2Bsandboxed compute
95%
First-year retention rate
2.5x
Faster time-to-productivity
30+
Engineers in our team
90%
Client satisfaction score
Why Choose Our Placement Service
We go beyond traditional recruitment to ensure perfect matches between talent and teams
Our Own Team
We place engineers from our own team of 30+ specialists-no external sourcing needed
Fast Placement
Average placement time of 2-4 weeks vs industry standard of 3-6 months
Quality Guarantee
90-day replacement guarantee if the placement doesn't meet expectations
Cultural Fit
Comprehensive assessment of technical skills and team dynamics
Our Engineering Team
Three specialized roles. One standard: excellence.
N8N Automation Expert
Key Skills:
Workflow AutomationIntegration ArchitectureScalable SystemsTech Stack Connectivity
Experience:
2-8+ years
Typical Roles:
Masters of workflow automation. They architect complex integrations, build scalable automation systems, and connect your entire tech stack seamlessly.
Full Stack Engineer
Key Skills:
FrontendBackendDatabasesDeployment
Experience:
3-8+ years
Typical Roles:
End-to-end developers who handle frontend, backend, databases, and deployment. They build complete products from concept to production.
AI Engineer
Key Skills:
LLM IntegrationMachine LearningIntelligent AutomationProduction Systems
Experience:
2-7+ years
Typical Roles:
AI specialists who integrate LLMs, build machine learning models, and create intelligent automation. They turn AI concepts into production systems.
Our Placement Process
Simple, streamlined process. We place our engineers directly-no sourcing, no client interviews needed.
1
Requirement Analysis
1-2 daysDeep dive into your specific needs, tech stack, and team culture
2
Team Matching
1-2 daysWe match you with the perfect engineer from our team of 30+ specialists based on your requirements
3
Deal Closure
1 dayOnce we close the deal, we immediately place the best-fit engineer from our team
4
Placement & Integration
OngoingSmooth onboarding and 90-day success monitoring
Why Nearshore? The Numbers Don't Lie
Cost-effective alternative to US hiring - nearshore developers for US time zones
US In-House Engineer
AY Automate Nearshore
Annual Salary
$150,000+
From $60,000
Employer Taxes & Benefits
~$30,000
$0
Recruitment Cost
$20,000-$40,000
$0
Time to Start
3-6 months
72 hours
Time Zone
US
US-aligned (overlapping hours)
Estimated Annual Savings
-
Up to $120,000 / engineer
Zero Risk Guarantee
Stop Interviewing. Start Shipping.
Leave your details and we'll have an engineer ready for your sprint within the week.
Book a Strategy Call
Leave your details and we'll match you with the right engineer in 48 hours.
What You Get
Comprehensive support throughout the placement process
Dedicated Specialist
Dedicated placement specialist for your needs
Technical Assessment
Comprehensive technical assessment reports
Onboarding Support
Seamless onboarding and integration support
Performance Tracking
90-day performance tracking and monitoring
Don't take it from us
Hear it from the operators we shipped for.
Real founders. Real cameras. No scripts. The engineers we placed, in their words.
Elie Salame
COO · Adstronaut.io
Elie Salame
COO · Adstronaut.io
Ready to Build Your AI Dream Team?
Let us connect you with world-class AI engineers who will drive your projects forward
FAQ
Engineer Placement Questions
Do you place your own engineers?
Yes. We match clients with engineers from the AY Automate network and team, so the placement is tied to real implementation standards instead of a generic recruiting handoff.
How fast can an engineer start?
Most qualified requests can move from discovery to shortlist within a few days. The exact start date depends on role scope, availability, and how quickly both sides confirm fit.
What roles can we request?
The most common requests are AI engineers, automation specialists, full-stack builders, n8n experts, and technical operators who can own implementation work.
What happens if the placement is not a fit?
We stay close during onboarding and use a 90-day success window to catch fit issues early, adjust scope, or replace the engineer when needed.