Hire Artificial Intelligence Developers
Connect with skilled Artificial Intelligence Developers from Latin America. Fluent in NLP, vision models, and deployment with full setup in 21 days.
Hire Remote Artificial Intelligence Developers
Lucía is an AI developer focused on improving digital experiences with smart technologies.
- Machine Learning Models
- Model Evaluation
- Data Engineering
- Python & Scikit-learn
- Automation Workflows
Allan is an AI builder focused on delivering impactful and lasting tech solutions.
- Neural Networks
- AI Solutions
- Model Iteration
- Tech Prototyping
- Intelligent Automation
Mariela is an AI innovator building technology with real, people-focused applications.
- AI Product Vision
- Model Integration
- Agile Prototyping
- Team Collaboration
- Ethical AI Design
Carlos is an AI professional dedicated to building scalable and intelligent products.
- AI Strategy
- Product Roadmapping
- Data Analysis
- Technical Architecture
- Problem Solving
Ximena is an AI builder focused on creating intelligent, high-impact tech solutions.
- AI Strategy
- Machine Learning
- System Design
- Product Integration
- Problem Solving
"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”
Artificial Intelligence Developers Skills
AI System Design
Architect intelligent systems for prediction and automation.
NLP & Computer Vision
Develop AI apps using text and image processing models.
Model Integration
Embed trained models into live applications and systems.
Inference Pipelines
Build efficient pipelines for real-time model predictions.
Framework Proficiency
Work with TensorFlow, PyTorch, Keras, and related tools.
Algorithm Design
Implement AI logic suited to specific product use cases.
Artificial Intelligence Developers Soft Skills
Creative Thinking
Innovate with AI tools to solve real-world problems.
Systems Thinking
Understand how models integrate into full applications.
Team Communication
Share insights and blockers clearly across functions.
Problem Solving
Design practical AI solutions with limited resources.
Initiative
Take ownership of research and prototyping efforts.
Precision
Focus on detail when integrating complex AI systems.
How to Hire Artificial Intelligence Developers with Lupa
Hire AI Developers to bring intelligent systems to production. Tap into our Remote Recruiting Company, grow flexibly via IT Latam Staffing, or scale hiring through our RPO support.
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.
Top candidates ready for your assessment. We handle interview logistics and feedback collection—ensuring smooth evaluation. Not fully convinced? We iterate until you find the perfect fit.
We manage contracting, onboarding, and payment to your team seamlessly. Our partnership extends beyond hiring—providing retention support and strategic guidance for the long-term growth of your LatAm team.
How to Write an Effective Job Post to Hire Artificial Intelligence Developers
Recommended Titles
- AI Engineer
- AI Software Developer
- Intelligent Systems Developer
- AI Platform Engineer
- ML/AI Developer
- Deep Learning Developer
Role Overview
- Tech Stack: Proficient in Python, OpenCV, spaCy, and cloud AI services (AWS, GCP).
- Project Scope: Develop end-to-end AI solutions for automation, NLP, and computer vision.
- Team Size: Work cross-functionally with data, dev, and product teams (5–8 people).
Role Requirements
- Years of Experience: Minimum of 4 years in AI solution design and development.
- Core Skills: Algorithm implementation, model integration, and API design.
- Must-Have Technologies: Python, NumPy, TensorFlow, AWS AI/ML, Docker.
Role Benefits
- Salary Range: $105,000 – $160,000 depending on experience and location.
- Remote Options: Global remote flexibility with core collaboration hours.
- Growth Opportunities: Exposure to production-grade AI systems and research translation.
Do
- Detail experience across ML, DL, and AI system integration
- Include role in cross-functional AI product teams
- Mention exposure to real-time and adaptive AI systems
- Highlight advancement in applied AI development
- Use strategic and forward-looking job phrasing
Don't
- Don’t bundle ML, DL, and AI without distinction
- Avoid listing tools without use-case context
- Don’t ignore cross-functional collaboration needs
- Refrain from only listing responsibilities, not outcomes
- Don’t use ambiguous titles like “AI Specialist”
Top Artificial Intelligence Developer Interview Questions
How to evaluate Artificial Intelligence Developer skills
What AI techniques have you implemented in production?
Look for applied knowledge in NLP, CV, or recommendation systems. Bonus if they’ve deployed real-time or large-scale AI systems.
Can you describe your experience with neural networks?
Expect familiarity with architecture types like CNNs, RNNs, Transformers. They should explain choices based on task requirements.
How do you ensure AI systems are explainable and trustworthy?
Listen for mention of SHAP, LIME, model audits, or ethical AI frameworks. Bonus if they’ve worked on bias reduction or transparency tools.
What frameworks or tools do you use for AI development?
Answers should include TensorFlow, PyTorch, Hugging Face, or OpenAI APIs. Look for depth of use, not just tool names.
What’s your approach to data preprocessing for AI models?
Look for mention of cleaning, normalization, tokenization, augmentation, and how preprocessing aligns with model architecture.
How do you approach solving an AI problem with unclear success criteria?
Expect stakeholder interviews, defining proxy KPIs, and iterative refinement of the problem scope.
Describe a time you had to pivot your AI solution mid-project.
They should share how they re-evaluated assumptions, adapted models, or changed data pipelines.
How do you debug low performance in AI prototypes?
Look for dataset inspection, model evaluation granularity, or modular testing strategies.
What’s your strategy when compute constraints limit model choice?
Expect experience with model compression, distillation, or edge-compatible architectures.
How do you validate an AI system in a real-world environment?
Look for A/B testing, user feedback loops, or simulation frameworks for safety and validation.
Describe a time you had to advocate for a complex AI approach.
Look for persuasive communication, stakeholder education, and technical simplification.
Tell me about a project where alignment with business goals was unclear.
Expect proactive clarification, product alignment, and prioritization of technical effort.
How do you navigate tensions between performance and fairness in AI systems?
Expect awareness of ethical balance, testing strategies, and responsible defaults.
Describe a time when team feedback changed your implementation plan.
Look for openness, collaboration, and evidence-driven decision-making.
What’s your approach when your work is misunderstood by non-technical teams?
Expect empathy, analogies, and shared outcomes to bridge the gap.
- Overuse of black-box models without explainability
- Lack of practical AI deployment experience
- Vague understanding of model lifecycle
- Poor cross-functional collaboration habits
- Overlooking edge cases in AI systems
Build elite teams in record time, full setup in 21 days or less.
Book a discovery callLatAm Talent: A Smart Recruiting Solution
High-Performing Talent, Cost-Effective Rates
Top LatAm tech professionals at up to 80% lower rates — premium skills, unbeatable savings
Zero Time Zone Barriers, Efficient Collaboration
Aligned time zones enable seamless collaboration, efficiency and faster project deliveries
Vibrant Tech Culture, World-Class Tech Skills
World-class training and a dynamic tech scene fuel LatAm’s exceptional talent pool
Our All-in-One Hiring Solutions
End-to-end remote talent solutions, from recruitment to payroll. Country-compliant throughout LatAm.
Recruiting
Our recruiting team delivers pre-vetted candidates within a week. Not the perfect match? We iterate until you're satisfied. You control hiring and contracts, while we provide guidance.
Staffing
Our recruiters deliver pre-vetted remote talent in a week. You select the perfect candidate, we manage onboarding, contracts, and ongoing payroll seamlessly.
RPO
Our RPO services deliver flexible talent solutions. From targeted support to full-cycle recruitment, we adapt and scale to meet your hiring goals while you focus on strategic growth.
