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Your first AI feature ships in 2 weeks, or you pay nothing
Nearshore AI Talent
One engineer, a fleet of AI agents. Your first feature ships in 2 weeks.
We place an AI-native engineer on your team who orchestrates a fleet of agents to cover a whole team's output. They join your sprint, ship real code, and deploy to production. Pause or cancel anytime.
Operational focus
Engineers from our own team, 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
From $60K
Placement pricing, per year
2-4 wks
Average placement window
90 days
Replacement guarantee
$120K
Up to annual savings vs a US hire
Why teams choose this over hiring
A real assessment of skills and fit, not a resume forwarded from a staffing pool
One engineer, a fleet of agents
Every placement comes from our own bench, already trained to orchestrate AI agents, not a generic staffing pool.
Fast placement
2 to 4 weeks from request to start, against a 3 to 6 month industry norm for a comparable US hire.
Replacement guarantee
90 days to confirm fit. If it is not working, we replace the engineer at no extra cost.
Fit check before placement
We assess technical depth and how the engineer works with your team before you commit.
Roles we place most
Every engineer builds with Claude Code and agent tooling, not just their own two hands.
n8n automation expert
Key Skills:
Workflow AutomationIntegration ArchitectureScalable SystemsTech Stack Connectivity
Experience:
2-8+ years
Typical Roles:
Builds the integrations and automation systems that connect your tech stack, then runs a fleet of agents to maintain and extend them.
Full stack engineer
Key Skills:
FrontendBackendDatabasesDeployment
Experience:
3-8+ years
Typical Roles:
Owns frontend, backend, databases, and deployment end to end, using Claude Code and agent tooling to ship at the pace of a small team.
AI engineer
Key Skills:
LLM IntegrationMachine LearningIntelligent AutomationProduction Systems
Experience:
2-7+ years
Typical Roles:
Integrates LLMs and builds the agents that turn AI concepts into systems running in production, not a slide deck.
How placement works
We place our own engineers directly. No sourcing, no client interview loop.
1
Requirement analysis
1-2 daysWe map your tech stack, the gap you are filling, and how the engineer fits your team.
2
Team matching
1-2 daysWe match you with the engineer whose stack and experience fit your requirements.
3
Deal closure
1 dayOnce terms are set, we place the matched engineer without a separate interview loop.
4
Placement and integration
OngoingOnboarding into your sprint, with a 90-day window to confirm fit.
Why nearshore? Here is the math
A cost-effective alternative to a US hire, on overlapping US-aligned hours.
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 will match you with an engineer this week.
Book a free 15-min call
Leave your details and we will match you with the right engineer in 48 hours.
What you get
Support that runs through the whole placement, past the first handoff.
Dedicated Specialist
One placement specialist owns your request end to end
Technical Assessment
Written technical assessment for every candidate
Onboarding Support
Hands-on onboarding into your sprint and tools
Performance Tracking
Performance check-ins through the 90-day window
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 add an engineer to your sprint?
Tell us what you need built. We will match you with an engineer who has already shipped it.
Recommended services
Hire AI Developers: Overview
Compare hiring one developer here vs. a small team via the Golden Offer
Golden Offer: Build a Team
Need more than one role? Assemble 1-5 engineers across our full bench
AI Agent Development
Build the agent stack your placed engineer can extend
Custom Automation
Turn internal processes into production workflows
AI Strategy Consulting
Define the roadmap before growing the team
Custom Training
Upskill your team around the new AI workflow
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.
Is this different from the Golden Offer?
This page covers the placement process itself: how requests get filled, timelines, and the 90-day guarantee. The Golden Offer is for teams building out multiple roles at once, choose 1 to 5 engineers across our bench (Forward Deployed Engineer, GTM Engineer, AI Automation Architect) in one engagement. If you need one engineer, this page has the detail you want. If you need a small team, start with the Golden Offer.