NearshoreEngineering
Technology talent that joins distributed teams and works with compatible workflows and time zones.
NearshoreEngineering
Technology talent that joins distributed teams and works with compatible workflows and time zones.
DedicatedTeams
Multidisciplinary teams focused on your product, project or roadmap.
StaffAugmentation
Specialists who join your team to provide specific capabilities.
- Response time
- 72 Hrs
- Professionals in our network
- +100,000
- AI-powered engineering
- AI-POWERED
Step - 1
DEFINE
We understand the project, stack, seniority, responsibilities and working practices.
DEFINE
We understand the project, stack, seniority, responsibilities and working practices.
72Hresponse time
From the moment you tell us about the challenge until you have profiles on the table. We understand the technical context and team dynamics before moving a single piece.
Step - 2
MATCH
We identify profiles aligned with your needs.
MATCH
We identify profiles aligned with your needs.
+100Kprofessionals in our network
We don’t start a search from scratch. We filter technology talent already mapped, with validated experience and known availability.
Step - 3
VALIDATE
We assess experience, technical knowledge and fit with the project.
VALIDATE
We assess experience, technical knowledge and fit with the project.
3validation filters
Proven experience, a technical assessment based on your stack and fit with your team’s way of working. Only profiles that pass all three reach your shortlist.
Step - 4
INTEGRATE
The professional or team joins your operation.
INTEGRATE
The professional or team joins your operation.
Day 1inside your operation.
They join with your tools, ceremonies and architecture. They become part of the team, not an external provider that needs to be coordinated.
Step - 5
SCALE
We expand or adjust capacity as your roadmap evolves.
SCALE
We expand or adjust capacity as your roadmap evolves.
0hiring processes.
Scale capacity up or down as the roadmap advances, without restructuring your organization. Your structure does not grow: your delivery capacity does.
Valeria M.
Peru
Agentic AI Engineer
+9 years of experience
- Python
- AI Agents
- LangGraph
Diego S.
Argentina
LLM Engineer
+11 years of experience
- PyTorch
- Fine-tune
- vLLM
Camila R.
Colombia
ML Engineer
+8 years of experience
- Python
- Scikit
- XGBoost
Mateo C.
ColombiaAI Product Engineer
+6 years of experience
- TypeScript
- LLM Apps
- Next.js
Andrea P.
Chile
AI Engineer
+8 years of experience
- Python
- FastAPI
- OpenAI
Renato Q.
ArgentinaRAG Engineer
+7 years of experience
- TypeScript
- LLM Apps
- Next.js
Bruno L.
PeruLLMOps Engineer
+9 years of experience
- LLMOps
- Observab.
- AWS
Lucía T.
ArgentinaMLOps Engineer
+7 years of experience
- Kubernetes
- MLflow
- CI/CD
Sebastián F.
Mexico
AI Security Engineer
+11 years of experience
- AI Security
- Red Team
- Compliance
Valeria M.
ChileAI Data Engineer
+8 years of experience
- Python
- SQL
- BigQuery
Martin S.
ArgentinaFull Stack Engineer
+7 years of experience
- React
- Node.js
- PostgreSQL
Carlos G.
Costa Rica
Cloud Engineer
+6 years of experience
- AWS
- Terraform
- Kubernetes
Diego R.
Panama
DevOps Engineer
+7 years of experience
- Docker
- Kubernetes
- CI/CD
Isabella P.
Spain
QA Automation Engineer
+11 years of experience
- Selenium
- Playwright
- Cypress
OurTechnologies
Frontend
- JavaScript
- Vue
- Angular
- React
Backend
- Node.js
- Java
- Laravel
- PHP
- Django
- Ruby
- Go
- GraphQL
- .NET
- API
AI & Data
- AI
- Big Data
- Generative AI
- Machine Learning
- Data Science
- Deep Learning
- SQL
- Python
Cloud & DevOps
- DevOps
- AWS
- Azure
- Google Cloud
Mobile
- iOS
- Android
- React Native
- Flutters
CRM & ERP
- Salesforce
- HubSopt
- SAP
- NetSuite
- ServiceNow
- NeatSuite
Blockchain & Web3
- Blockchain
- Smart Contract
- Ethereum
- Cryptocurrency
Every Engineer is AI-Powered.AI is not an additional service. It is part of how we work.
Staffing / IT Talent
“JOYITquicklyunderstoodtheprofileweneededandenabledustobringinspecializedtechnologytalentwithoutmakingourselectionprocessmorecomplex.Theteam'sresponsivenessandadaptabilitymadethedifference.”
What is AI Engineering Teams?
It is a model for bringing in specialized engineering professionals or teams who work embedded in the client’s operation and use Artificial Intelligence to power their workflow.
How is AI Engineering Teams different from Staff Augmentation?
Staff Augmentation covers specific capabilities within your team. AI Engineering Teams brings in professionals or complete teams who also work with Artificial Intelligence built into their day-to-day, without changing your tools or your methodology.
How long does JOYIT take to answer a talent request?
We present the first profiles within 72 hours. We don’t start a search from scratch: we filter a network of more than 100,000 professionals already mapped, with validated experience and known availability.
Which technology profiles does JOYIT offer?
AI Engineers, Software Engineers, Cloud & DevOps, Data Engineers, QA Engineers, Technical Leads, UX/UI and Product.
Does JOYIT work with Nearshore talent?
Yes. Our talent joins distributed teams and works with workflows and time zones compatible with your operation.
Can I request a single professional or a complete team?
Both. You can bring in a specialist to cover a specific capability or a multidisciplinary team focused on your product, project or roadmap.
Can I scale the team up or down?
Yes. We increase or adjust capacity as your roadmap evolves, without redoing the selection process from scratch.
Does your roadmap need more capacity?
Let’s build the team you need to move forward.
4.9 / 5
+60 client reviews
+100k
professionals
72H
response time