Hire AI Developers
Discover top AI talent with Lupa. Source pre-vetted Latin American experts for 70% less, setup in 21 days. Experience seamless compliance and 95% client return.
Hire Remote AI Developers
Valeria is a dynamic developer from Costa Rica, mastering Swift to C++ with 5 years' finesse.
- Swift
- Kotlin
- Angular
- TypeScript
- C++
Nicolás is a charismatic developer crafting digital experiences with 5 years of expertise.
- React.js
- JavaScript
- HTML
- CSS
- C#
Mateo is a charismatic developer with 12 years of crafting code and building solutions.
- Java
- Spring Boot
- C++
- APIs
- AWS
Ana is a dynamic developer from Panama, blending AI and Python with 7 years of expertise.
- C++
- Machine Learning Basics
- Data Visualization
- AI
- Python
Meet Daniela, a developer from Ecuador. 5 years in, she’s your go-to for Angular, React, and more.
- Angular
- HTML
- CSS
- React.js
- C++
Diego is a seasoned developer from Mexico, mastering Go, Node.js, React, and AWS.
- Go (Golang)
- Node.js
- HTML
- React.js
- AWS
Meet Sebastián, a developer with 11 years of expertise in Kotlin, Swift, AI, and more.
- Kotlin
- Swift
- AI
- Machine Learning Basics
- Data Visualization
"Over the course of 2024, we successfully hired 9 exceptional team members through Lupa, spanning mid-level to senior roles. The quality of talent has been outstanding, and we’ve been able to achieve payroll cost savings while bringing great professionals onto our team. We're very happy with the consultation and attention they've provided us."
“We needed to scale a new team quickly - with top talent. Lupa helped us build a great process, delivered great candidates quickly, and had impeccable service”
“With Lupa, we rebuilt our entire tech team in less than a month. We’re spending half as much on talent. Ten out of ten”
Lupa's Proven Process
Together, we'll create a precise hiring plan, defining your ideal candidate profile, team needs, compensation and cultural fit.
Our tech-enabled search scans thousands of candidates across LatAm, both active and passive. We leverage advanced tools and regional expertise to build a comprehensive talent pool.
We carefully assess 30+ candidates with proven track records. Our rigorous evaluation ensures each professional brings relevant experience from industry-leading companies, aligned to your needs.
Receive a curated selection of 3-4 top candidates with comprehensive profiles. Each includes proven background, key achievements, and expectations—enabling informed hiring decisions.
Reviews
"Over the course of 2024, we successfully hired 9 exceptional team members through Lupa, spanning mid-level to senior roles. The quality of talent has been outstanding, and we’ve been able to achieve payroll cost savings while bringing great professionals onto our team. We're very happy with the consultation and attention they've provided us."
“We needed to scale a new team quickly - with top talent. Lupa helped us build a great process, delivered great candidates quickly, and had impeccable service”
“With Lupa, we rebuilt our entire tech team in less than a month. We’re spending half as much on talent. Ten out of ten”
“We scaled our first tech team at record speed with Lupa. We couldn’t be happier with the service and the candidates we were sent.”
"Recruiting used to be a challenge, but Lupa transformed everything. Their professional, agile team delivers top-quality candidates, understands our needs, and provides exceptional personalized service. Highly recommended!"
“Lupa has become more than just a provider; it’s a true ally for Pirani in recruitment processes. The team is always available to support and deliver the best service. Additionally, I believe they offer highly competitive rates and service within the market.”
"Highly professional, patient with our changes, and always maintaining clear communication with candidates. We look forward to continuing to work with you on all our future roles."
“Lupa has been an exceptional partner this year, deeply committed to understanding our unique needs and staying flexible to support us. We're excited to continue our collaboration into 2025.”
"What I love about Lupa is their approach to sharing small, carefully selected batches of candidates. They focus on sending only the three most qualified individuals, which has already helped us successfully fill 7 roles.”
"We hired 2 of our key initial developers with Lupa. The consultation was very helpful, the candidates were great and the process has been super fluid. We're already planning to do our next batch of hiring with Lupa. 5 stars."
"Working with Lupa for LatAm hiring has been fantastic. They found us a highly skilled candidate at a better rate than our previous staffing company. The fit is perfect, and we’re excited to collaborate on more roles."
"We compared Lupa with another LatAm headhunter we found through Google, and Lupa delivered a far superior experience. Their consultative approach stood out, and the quality of their candidates was superior. I've hired through Lupa for both of my companies and look forward to building more of my LatAm team with their support."
“We’ve worked with Lupa on multiple roles, and they’ve delivered time and again. From sourcing an incredible Senior FullStack Developer to supporting our broader hiring needs, their team has been proactive, kind, and incredibly easy to work with. It really feels like we’ve gained a trusted partner in hiring.”
Working with Lupa was a great experience. We struggled to find software engineers with a specific skill set in the US, but Lupa helped us refine the role and articulate our needs. Their strategic approach made all the difference in finding the right person. Highly recommend!
Lupa goes beyond typical headhunters. They helped me craft the role, refine the interview process, and even navigate international payroll. I felt truly supported—and I’m thrilled with the person I hired. What stood out most was their responsiveness and the thoughtful, consultative approach they brought.
AI Developer Soft Skills
Communication
Clear and effective articulation of complex ideas
Problem Solving
Resourceful in identifying and resolving project challenges
Time Management
Prioritizes tasks to meet tight deadlines
Adaptability
Quickly adjusts to new tech and updates
Team Collaboration
Proactive contributor to group objectives
Creativity
Innovative in enhancing user experience
AI Developer Skills
Machine Learning Algorithms
Designing and implementing algorithms for predictive and data-driven insights.
Data Preprocessing
Cleaning and preparing raw data to enhance the model's performance.
Neural Networks Design
Building complex models that simulate human-like decision-making.
Natural Language Processing
Enabling machines to understand and interpret human language.
Model Deployment
Deploying models into production for real-world use and integration.
Python and Libraries
Utilizing Python and libraries like TensorFlow and PyTorch for AI development.
Additional Technical Capabilities
- Reinforcement Learning
- Bayesian Statistics
- GANs
- Edge Computing
- Model Compression
- NLP Optimization
How to Write an Effective Job Post for Hiring AI Developers
Recommended Titles
- Machine Learning Engineer
- Data Scientist
- AI Research Scientist
- Deep Learning Specialist
Role Overview
- Tech Stack: Python, TensorFlow, AWS
- Project Scope: Develop AI-driven analytics platform
- Team size: 5-7 members
Role Requirements
- Years of Experience: Minimum of 5 years in AI development.
- Core Skills: Strong proficiency in machine learning, data analysis, and algorithm design.
- Must-Have Technologies: Expertise in Python, TensorFlow, and PyTorch.
Role Benefits
- Salary Range: Competitive salary based on experience and skills, mention a range here.
- Remote Options: Flexible remote work arrangements available to support work-life balance.
- Growth Opportunities: Continuous learning, leadership development, career advancement path.
- Clearly define the role and responsibilities
- Highlight required skills and technologies
- Use straightforward and inclusive language
- Include salary range and benefits
- Specify company culture and values
Do
- Clearly define the role and responsibilities
- Highlight required skills and technologies
- Use straightforward and inclusive language
- Include salary range and benefits
- Specify company culture and values
Don't
- Don't use jargon or buzzwords.
- Don't be vague about responsibilities.
- Don't ignore company culture details.
- Don't overload with unnecessary requirements.
- Don't forget to highlight growth opportunities.
Top Interview Questions for AI Developers
Crucial interview topics for assessing AI Developers
Can you explain your experience with neural network architectures?
Look for a candidate who can discuss various architectures like CNNs, RNNs, and LSTMs, and how they've applied these in real-world projects.
How do you handle and preprocess large datasets for machine learning models?
The candidate should describe techniques like normalization, handling missing data, and data augmentation to ensure data quality and model performance.
Describe a challenging AI project you’ve worked on and how you overcame obstacles.
A good candidate will share insights into their problem-solving skills, innovations they introduced, and outcomes they achieved.
What tools and frameworks have you used for AI model development and deployment?
They should mention tools like TensorFlow, PyTorch, or AWS SageMaker, and describe how they leveraged these for efficient development and deployment.
How do you ensure that your AI models are explainable and ethically sound?
Listen for considerations about bias reduction, transparency, and the use of tools like SHAP or LIME for model interpretability.
Can you describe a difficult technical problem you've encountered and how you resolved it?
Look for candidates who clearly articulate the problem and the steps they took to identify, analyze, and resolve the issue. Successful answers should reflect their ability to break down complex problems and draw upon their technical knowledge or experience to find solutions.
How do you approach debugging a piece of code that isn't working as expected?
Candidates should explain a structured approach to debugging, such as isolating parts of the code, using logs or debuggers, and testing hypotheses. A strong response indicates patience and methodical thinking.
When faced with a new technology or framework, how do you go about learning and implementing it?
Seek responses that demonstrate resourcefulness, self-directed learning, and an ability to adapt. Look for examples where they successfully learned and applied new technologies through various resources like documentation, tutorials, or experimentation.
How do you prioritize tasks when working on multiple projects with tight deadlines?
Effective candidates will showcase their organizational skills by describing how they assess task importance, manage their time, and communicate with the team to ensure timely delivery. Look for evidence of balancing quality with efficiency.
Describe a time when you had to collaborate with a team to solve a problem. What was your role, and how did you contribute to the solution?
Listen for examples of teamwork, clear communication, and leadership if applicable. Strong candidates will demonstrate how they used their unique skills to contribute and facilitated open collaboration to achieve a common goal.
How do you approach conflict resolution within a team?
Look for candidates who emphasize active listening, empathy, and seeking common ground. Effective conflict resolution often involves addressing issues head-on and finding win-win solutions.
Can you describe a time when you had to meet a tight deadline? How did you handle it?
Seek responses that highlight prioritization, delegation, and maintaining quality under pressure. Candidates should demonstrate resilience and the ability to stay focused in stressful situations.
How do you ensure that everyone on your team is on the same page with project goals?
Strong candidates will mention clear communication, regular check-ins, and collaborative tools. They should value input from all team members and ensure alignment on objectives.
Describe a situation where you had to motivate a team member who was underperforming.
Look for an understanding approach that focuses on support and encouragement. Candidates should be able to identify issues and provide constructive feedback to facilitate improvement.
What strategies do you use to maintain effective communication in a remote team?
Listen for candidates who emphasize using multiple communication channels, being proactive, and ensuring transparency. They should be adept at keeping everyone engaged and informed, regardless of location.
- Lack of code documentation
- Ignoring data privacy regulations
- Neglecting model testing
- Overpromising AI capabilities
- Insufficient bias mitigation
Build elite teams in record time, full setup in 21 days or less.
Book a Free ConsultationWhy We Stand Out From Other Recruiting Firms
From search to hire, our process is designed to secure the perfect talent for your team
Local Expertise
Tap into our knowledge of the LatAm market to secure the best talent at competitive, local rates. We know where to look, who to hire, and how to meet your needs precisely.
Direct Control
Retain complete control over your hiring process. With our strategic insights, you’ll know exactly where to find top talent, who to hire, and what to offer for a perfect match.
Seamless Compliance
We manage contracts, tax laws, and labor regulations, offering a worry-free recruitment experience tailored to your business needs, free of hidden costs and surprises.
Lupa will help you hire top talent in Latin America.
Book a Free Consultation
Top Interview Questions for AI Developers
Crucial interview topics for assessing AI Developers
Can you explain your experience with neural network architectures?
Look for a candidate who can discuss various architectures like CNNs, RNNs, and LSTMs, and how they've applied these in real-world projects.
How do you handle and preprocess large datasets for machine learning models?
The candidate should describe techniques like normalization, handling missing data, and data augmentation to ensure data quality and model performance.
Describe a challenging AI project you’ve worked on and how you overcame obstacles.
A good candidate will share insights into their problem-solving skills, innovations they introduced, and outcomes they achieved.
What tools and frameworks have you used for AI model development and deployment?
They should mention tools like TensorFlow, PyTorch, or AWS SageMaker, and describe how they leveraged these for efficient development and deployment.
How do you ensure that your AI models are explainable and ethically sound?
Listen for considerations about bias reduction, transparency, and the use of tools like SHAP or LIME for model interpretability.
Can you describe a difficult technical problem you've encountered and how you resolved it?
Look for candidates who clearly articulate the problem and the steps they took to identify, analyze, and resolve the issue. Successful answers should reflect their ability to break down complex problems and draw upon their technical knowledge or experience to find solutions.
How do you approach debugging a piece of code that isn't working as expected?
Candidates should explain a structured approach to debugging, such as isolating parts of the code, using logs or debuggers, and testing hypotheses. A strong response indicates patience and methodical thinking.
When faced with a new technology or framework, how do you go about learning and implementing it?
Seek responses that demonstrate resourcefulness, self-directed learning, and an ability to adapt. Look for examples where they successfully learned and applied new technologies through various resources like documentation, tutorials, or experimentation.
How do you prioritize tasks when working on multiple projects with tight deadlines?
Effective candidates will showcase their organizational skills by describing how they assess task importance, manage their time, and communicate with the team to ensure timely delivery. Look for evidence of balancing quality with efficiency.
Describe a time when you had to collaborate with a team to solve a problem. What was your role, and how did you contribute to the solution?
Listen for examples of teamwork, clear communication, and leadership if applicable. Strong candidates will demonstrate how they used their unique skills to contribute and facilitated open collaboration to achieve a common goal.
How do you approach conflict resolution within a team?
Look for candidates who emphasize active listening, empathy, and seeking common ground. Effective conflict resolution often involves addressing issues head-on and finding win-win solutions.
Can you describe a time when you had to meet a tight deadline? How did you handle it?
Seek responses that highlight prioritization, delegation, and maintaining quality under pressure. Candidates should demonstrate resilience and the ability to stay focused in stressful situations.
How do you ensure that everyone on your team is on the same page with project goals?
Strong candidates will mention clear communication, regular check-ins, and collaborative tools. They should value input from all team members and ensure alignment on objectives.
Describe a situation where you had to motivate a team member who was underperforming.
Look for an understanding approach that focuses on support and encouragement. Candidates should be able to identify issues and provide constructive feedback to facilitate improvement.
What strategies do you use to maintain effective communication in a remote team?
Listen for candidates who emphasize using multiple communication channels, being proactive, and ensuring transparency. They should be adept at keeping everyone engaged and informed, regardless of location.
- Lack of code documentation
- Ignoring data privacy regulations
- Neglecting model testing
- Overpromising AI capabilities
- Insufficient bias mitigation
