Hire AI Engineers
Discover top AI Engineers with Lupa. Hire Latin American talent at 70% less. Build a team in 21 days with pre-vetted pros. Fast, seamless, and cost-effective.
Hire Remote AI Engineers
Camila is a developer from Argentina, crafting digital solutions with 6 years of expertise.
- PHP
- CSS
- SQL
- APIs
- JavaScript
Valentina transforms code into seamless solutions. Your go-to for all things dev.
- PHP
- CSS
- JavaScript
- Node.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 Miguel: A developer with 10 years of experience turning code into solutions.
- Ruby
- Data Visualization
- Python
- C++
- Docker
Mariana's your go-to dev with 8 years in Java, Docker, Python, Kubernetes, and CSS.
- Java
- Docker
- Python
- Kubernetes
- CSS
Sofía is a dynamic developer from Colombia, mastering JS, React, and Docker for 5 years.
- JavaScript
- HTML
- React.js
- TypeScript
- Docker
Nicolás is a charismatic developer crafting digital experiences with 5 years of expertise.
- React.js
- JavaScript
- HTML
- CSS
- C#
"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 Engineer Soft Skills
Communication
Clearly convey complex AI concepts to diverse audiences, ensuring understanding across technical and non-technical teams.
Critical Thinking
Analyze situations logically to make informed decisions and anticipate potential challenges in AI projects.
Collaboration
Work effectively within interdisciplinary teams, fostering a cooperative environment to achieve shared goals.
Adaptability
Adjust to new challenges and changes, staying flexible in evolving AI landscapes and dynamic work environments.
Creativity
Innovate by thinking outside the box, finding unique solutions to AI-related problems.
Empathy
Understand user needs and perspectives, ensuring AI applications are user-friendly and ethically sound.
AI Engineer Skills
Programming Languages
Proficiency in Python, R, or Java for developing and deploying AI models and applications.
Machine Learning Frameworks
Experience with TensorFlow, PyTorch, or Scikit-learn for building AI models.
Data Preprocessing
Skills in data cleaning, normalization, and transformation to prepare datasets for machine learning.
Algorithm Development
Ability to design and implement machine learning algorithms and models.
Model Evaluation
Expertise in evaluating model performance using metrics like accuracy, precision, and recall.
Cloud Computing
Utilizing services from AWS, Azure, or Google Cloud for scalable AI model deployment.
Additional Technical Capabilities
- Deep learning techniques
- Statistical analysis
- Natural language processing
- Big data technologies
- Time-series forecasting
How to Write an Effective Job Post for Hiring AI Engineers
Recommended Titles
- Machine Learning Engineer
- Data Scientist
- Robotics Engineer
- Computer Vision Engineer
- Natural Language Processing Engineer
- Deep Learning Specialist
Role Overview
- Tech Stack: Skilled in machine learning frameworks, strong Python and TensorFlow skills.
- Project Scope: Develop AI models, improve model accuracy, and collaborate on cross-functional projects.
- Team Size: Work as part of a dynamic team of 8 AI experts.
Role Requirements
- Years of Experience: Minimum of 3 years in AI/ML development.
- Core Skills: Expertise in data analysis, machine learning algorithms, and software development lifecycle.
- Must-Have Technologies: Proficiency in TensorFlow, PyTorch, and cloud services like AWS or Google Cloud.
Role Benefits
- Salary Range: Competitive salary based on experience and skills, $90,000 - $150,000.
- Remote Options: Flexible remote work arrangements to maintain a work-life balance.
- Growth Opportunities: Access to cutting-edge projects, ongoing training, and leadership roles.
Do
Include competitive salary and benefits packageDetail essential skills and qualificationsOutline company values and missionEmphasize career advancement potentialUse clear and captivating language
Don't
- Don't use technical jargon without explanation.
- Don't overlook essential qualifications.
- Don't write generic descriptions.
- Don't skip mentioning team culture.
- Don't ignore outlining project goals.
Top AI Engineer Interview Questions
Essential questions for evaluating AI Engineer
Can you describe your experience with developing machine learning models?
Look for candidates who can explain end-to-end model development, including data preprocessing, model selection, training, and evaluation. They should mention specific frameworks and any successful deployments.
Which programming languages and frameworks are you most proficient in for AI development?
Candidates should mention key languages like Python and frameworks such as TensorFlow or PyTorch. Consider their depth of experience with these tools as indicators of their technical proficiency.
How do you handle data preprocessing and feature engineering?
Seek responses that indicate familiarity with techniques for cleaning and transforming data, identifying important features, and experience with libraries like Pandas or Scikit-learn.
Can you give an example of a complex machine learning project you worked on?
Look for detailed descriptions of the project's complexity, their specific role, challenges encountered, and how they overcame those challenges, showcasing their problem-solving skills.
How do you stay updated with the latest advancements in AI technology?
Candidates should demonstrate engagement with the AI community through continuous learning, whether through courses, research papers, conferences, or forums like GitHub or Stack Overflow.
Can you describe a time when you faced a complex problem in an AI project and how you approached solving it?
Look for candidates who demonstrate structured problem-solving approaches, creativity in their methods, and effective use of tools or frameworks to tackle complexity. Successful answers will showcase resilience and an ability to learn from challenges.
How do you prioritize tasks when working on multiple projects with competing deadlines?
Seek those who show strategic planning skills, can effectively manage time, and have the ability to balance competing demands without sacrificing quality. An ideal response will include specific tools or methodologies used to stay organized.
What steps do you take to ensure your AI models are both reliable and ethical?
Candidates should show awareness of AI ethics and discuss methods for ensuring reliability, such as regular validation and testing, as well as ethical considerations like bias detection. The response should reflect a strong understanding of the implications of their work.
Can you give an example of a time when you used data to make a decision? What was the outcome?
Look for instances where candidates have effectively interpreted data to influence decision-making. The focus should be on their ability to extract insights and make informed choices, as well as the impact of their decision on the project or organization.
How do you handle situations where your AI model fails to perform as expected?
The ideal candidate will demonstrate a systematic troubleshooting process, resilience, and a proactive attitude toward improvement. Their answer should highlight specific strategies for diagnosing issues and iterating on solutions.
Can you provide an example of a time you successfully collaborated with a cross-functional team?
The candidate should share specifics about the project, their role, and the outcomes. Look for evidence of their ability to communicate effectively across disciplines and contribute to shared goals.
How do you handle conflict within a team?
Listen for a candidate who focuses on understanding different perspectives, facilitating open discussions, and working towards a resolution. Their approach should demonstrate patience and emotional intelligence.
Describe a situation where you had to communicate complex technical information to non-technical stakeholders. How did you ensure understanding?
Seek a candidate who can simplify complex concepts and engage the audience. Look for examples of using analogies, visuals, or storytelling to make technical details accessible.
How do you prioritize tasks when you're feeling overwhelmed with responsibilities?
Look for evidence of organizational skills, time management, and the ability to assess urgency versus importance. The candidate should mention strategies that help them maintain focus under pressure.
Have you ever taken on a leadership role, even if it wasn’t part of your job description? What did you learn from it?
The candidate should illustrate initiative and the ability to motivate or guide others. Listen for lessons learned and how they applied those in future scenarios.
- Lack of Initiative
- Weak Collaboration Skills
- Ignoring Ethical Concerns
- Overreliance on Tools
- Resisting New Ideas
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 AI Engineer Interview Questions
Essential questions for evaluating AI Engineer
Can you describe your experience with developing machine learning models?
Look for candidates who can explain end-to-end model development, including data preprocessing, model selection, training, and evaluation. They should mention specific frameworks and any successful deployments.
Which programming languages and frameworks are you most proficient in for AI development?
Candidates should mention key languages like Python and frameworks such as TensorFlow or PyTorch. Consider their depth of experience with these tools as indicators of their technical proficiency.
How do you handle data preprocessing and feature engineering?
Seek responses that indicate familiarity with techniques for cleaning and transforming data, identifying important features, and experience with libraries like Pandas or Scikit-learn.
Can you give an example of a complex machine learning project you worked on?
Look for detailed descriptions of the project's complexity, their specific role, challenges encountered, and how they overcame those challenges, showcasing their problem-solving skills.
How do you stay updated with the latest advancements in AI technology?
Candidates should demonstrate engagement with the AI community through continuous learning, whether through courses, research papers, conferences, or forums like GitHub or Stack Overflow.
Can you describe a time when you faced a complex problem in an AI project and how you approached solving it?
Look for candidates who demonstrate structured problem-solving approaches, creativity in their methods, and effective use of tools or frameworks to tackle complexity. Successful answers will showcase resilience and an ability to learn from challenges.
How do you prioritize tasks when working on multiple projects with competing deadlines?
Seek those who show strategic planning skills, can effectively manage time, and have the ability to balance competing demands without sacrificing quality. An ideal response will include specific tools or methodologies used to stay organized.
What steps do you take to ensure your AI models are both reliable and ethical?
Candidates should show awareness of AI ethics and discuss methods for ensuring reliability, such as regular validation and testing, as well as ethical considerations like bias detection. The response should reflect a strong understanding of the implications of their work.
Can you give an example of a time when you used data to make a decision? What was the outcome?
Look for instances where candidates have effectively interpreted data to influence decision-making. The focus should be on their ability to extract insights and make informed choices, as well as the impact of their decision on the project or organization.
How do you handle situations where your AI model fails to perform as expected?
The ideal candidate will demonstrate a systematic troubleshooting process, resilience, and a proactive attitude toward improvement. Their answer should highlight specific strategies for diagnosing issues and iterating on solutions.
Can you provide an example of a time you successfully collaborated with a cross-functional team?
The candidate should share specifics about the project, their role, and the outcomes. Look for evidence of their ability to communicate effectively across disciplines and contribute to shared goals.
How do you handle conflict within a team?
Listen for a candidate who focuses on understanding different perspectives, facilitating open discussions, and working towards a resolution. Their approach should demonstrate patience and emotional intelligence.
Describe a situation where you had to communicate complex technical information to non-technical stakeholders. How did you ensure understanding?
Seek a candidate who can simplify complex concepts and engage the audience. Look for examples of using analogies, visuals, or storytelling to make technical details accessible.
How do you prioritize tasks when you're feeling overwhelmed with responsibilities?
Look for evidence of organizational skills, time management, and the ability to assess urgency versus importance. The candidate should mention strategies that help them maintain focus under pressure.
Have you ever taken on a leadership role, even if it wasn’t part of your job description? What did you learn from it?
The candidate should illustrate initiative and the ability to motivate or guide others. Listen for lessons learned and how they applied those in future scenarios.
- Lack of Initiative
- Weak Collaboration Skills
- Ignoring Ethical Concerns
- Overreliance on Tools
- Resisting New Ideas
