Forward-Deployed AI Engineers
Forward-Deployed AI Engineers who own the outcome.
Expert AI engineers who find where AI creates value, build it, and keep it running inside your business. We match, embed and manage the relationship.
Under 3 days to start the matching conversation
Request
Match
Embed
Build
Improve
Most companies do not have an AI access problem.
These are the harder questions.
Where can AI create the most value?
What should we build first?
How do we connect AI to existing systems?
How do we get past prototypes into production?
Who owns the outcome after v1?
Who can do all of that, not just write prompts?
How engagement works
Ambiguous business problem in. Owned outcome out.
Give them a defined requirement and they build it. Give them ambiguity and they work out what should be built.
AI
Engineering
Automation
Product
Business
How we qualify them
Experienced technical talent, AI-ready before they reach you
We identify professionals across engineering, data, cloud, automation and consulting, then develop and evaluate them for real-world AI implementation.
Professional technical background
Modern AI implementation
Business discovery
Production-minded delivery
Observed performance signals
The role
Not ticket-takers. Ambiguity is the starting point.
Traditional hiring gives you a résumé and a few interviews. We evaluate professionals over time and match on demonstrated fit.
Discovery
Start with the business problem, not the technology
Map workflows and processes
Find bottlenecks and repetitive work
Interview stakeholders across functions
Recommend the simplest system that creates leverage
What they can work on
One engineer. AI capability across your business.
Agents & automation
Workflows that research, reason and take action.
Ops & internal tools
Remove busywork from operations and admin.
Product & engineering
RAG, copilots, evaluation and production features.
Sales & growth
Research agents, CRM enrichment, deal intelligence.
People & recruiting
Screening assist and HR knowledge systems.
Customer experience
Support copilots and grounded knowledge retrieval.
This is not conventional outsourced development.
Your engineer works inside the context of your business. That context compounds the longer they stay.
The lifecycle
Build it. Deploy it. Own the outcome.
01
Discover
Highest-value opportunities
02
Design
Models, architecture, controls
03
Build
Integrate and harden
04
Deploy
Production readiness
05
Own
Improve reliability and adoption
06
Expand
Point at the next priority
Matching
The right engineer, matched to your business
Technical depth vs communication balance
Domain familiarity
Timezone and collaboration style
Seniority and independence
Stack and integration environment
Engagement model
Embedded. Managed. Focused on outcomes.
You get a dedicated Forward-Deployed AI Engineer. Loubby AI handles matching, onboarding, contractor infrastructure and relationship management.
The infrastructure
Loubby AI manages everything around the engineer
Talent matching
Onboarding
Engagement management
Performance visibility
Global payments
Contractor management
Why Loubby AI
You should not have to choose between four bad options
Instead of: Hiring expensive in-house AI talent
Embedded expertise without a 6–12 month search.
Instead of: A staffing firm that does not understand AI
Match on implementation capability and observed signals.
Instead of: Freelancers for isolated projects
An embedded engineer who builds context over time.
Instead of: Retraining your whole organisation
A practitioner who implements while uplifting your team.
Questions
Common objections
How is this different from a freelancer?
How fast can we start?
Do they work in our tools and timezone?
What if the match is wrong?
Can they work across business areas?
Don’t just hire an AI engineer. Add AI implementation capability.
Technical enough to build it. Business-minded enough to know why. Embedded enough to keep improving it after launch.