Forward-Deployed AI Engineer Program
Become the AI talent companies trust from day one.
A selective four-week intensive for experienced technical professionals. Build modern AI systems, learn what should be built, and prove how you perform. Strong performers join our vetted network for paid embedded work.
Learn
Build
Prove
Qualify
Get matched
Get embedded
Not people who use AI tools. People who turn AI into operational capability.
The Forward-Deployed AI Engineer enters a business, finds where AI creates leverage, builds the system, integrates it, deploys it, and keeps improving the outcome.
AI
Engineering
Automation
Product
Business
Why it exists
Built backward from real employer demand
This program exists because partner companies kept asking for something we could not reliably supply: technical professionals who understand AI deeply enough to implement it, and businesses well enough to know where it belongs.
What partners need
Embedded, long-term members of their teams. Not contractors picking up isolated tickets. People who work across products, workflows, operations and business systems.
How we designed it
Most programs start by asking what would make an interesting AI course. We started by asking what would make us confident recommending someone to a company that trusts Loubby AI with real work.
The intensive
Four intensive weeks, built for people who are already technical
We compress it because we are not teaching what you already know. This is not an introduction to technology, and it is not an internship.
What the four weeks are for
• Close critical AI implementation gaps
• Build modern systems, not demos
• Discover real business opportunities
• Prove how you actually perform
What that looks like
• Expert-led training and labs
• Collaborative implementation
• Assessments and office hours
• Hackathons under real pressure
Curriculum
Master the technologies defining modern AI
The stack moves fast. The objective is not to memorise today’s tools. It is to keep delivering as they change.
01
AI engineering
Models, agents, tool use, RAG, vector systems, context engineering.
02
Automation
Workflow platforms, APIs, integrations, event-driven production systems.
03
Data & infra
Pipelines, evaluation, deployment loops, security, cost-aware design.
04
Product thinking
Scoping, human-in-the-loop, failure modes, shipping internal tools.
05
Discovery
Stakeholder interviews, process mapping, opportunity sizing, recommendations.
06
Embedded ops
Ambiguity, stakeholder communication, ownership after launch.
Opportunity discovery
Knowing how to build is part of the job. Knowing what should be built is the part that separates people.
Sometimes the answer is an agent. Sometimes RAG. Sometimes plain automation. Sometimes no AI at all. Knowing the difference is what a business will keep paying for.
Run discovery with real stakeholders
Map workflows before recommending tech
Find bottlenecks and unnamed opportunities
Defend the simplest system that creates leverage
How you'll work
Build like you are already working with a customer
Labs, collaborative implementations, challenges, assessments, office hours and hackathons. All built on problems companies actually face.
What you may build
• Complex operational workflows
• Enterprise RAG systems
• Agents that take action
• Internal AI applications
How you work
• Pair on implementations
• Present to non-technical stakeholders
• Defend architecture choices
• Ship under time pressure
Embedded
The forward-deployed part is the point
You may become embedded inside a partner company, working alongside founders, executives, engineering, product, operations, sales and HR. That takes business maturity, not just technical skill.
Ask effective discovery questions
Explain complex ideas clearly
Navigate ambiguous requirements
Present and defend solutions
Communicate across audiences
Own outcomes after launch
The path
How you get from applicant to embedded
Four stages. Each one is earned by what you demonstrate, not granted by attendance.
01
4 weeks
Learn and build
Expert-led training, labs, real scenarios, collaborative implementation, assessments and hackathons.
02
During + after
Prove and qualify
We observe how you build, communicate, collaborate and handle ambiguity. Qualification is earned.
03
After qualification
Get matched
Strong performers enter the vetted network. Matching weighs skill, domain fit, communication and reliability.
04
Ongoing
Get embedded
Paid work inside partner companies: discover opportunities, build systems, own outcomes.
What we can promise
A professional signal stronger than a résumé
For professionals who progress, Loubby AI builds a richer performance profile from demonstrated work across the four weeks: assessments, projects, communication, collaboration, reliability and readiness.
The infrastructure
Loubby AI powers the relationship behind the work
Matching is the beginning. The platform and services let companies engage, manage and pay distributed technical professionals, so the work is real.
Talent matching
Onboarding
Engagement management
Performance visibility
Global payments
Contractor management
Who applies
Built for experienced technical professionals
You do not need “AI Engineer” in your title. You do need meaningful technical experience. This is not a beginner program.
Strong fit if you come from
• Software / full-stack engineering
• Data or machine learning
• Cloud / DevOps
• Automation or solutions engineering
• Technical consulting
Probably not right if
• You are brand new to technical work
• You want a beginner AI tools course
• You primarily want a certificate
• You cannot commit across four weeks
Global talent
Exceptional AI talent is global. Opportunity should be too.
Loubby AI focuses on exceptional professionals across emerging technology markets, while staying open to experienced talent everywhere.
Austin
Lagos
Nairobi
São Paulo
Karachi
Toronto
Admission
This program is selective for a reason
When Loubby AI recommends a professional to a company, we put our reputation behind that person. We are not optimising for the largest number of certificates.
Selective admission
Intensive participation
Measured performance
Earned qualification
Signal-driven matching
Trust to deliver
Four weeks could change the direction of your technical career.
Bring the experience you have already earned. Build the AI implementation capability companies need now. Create a performance signal beyond your résumé.