Why choose Ideaware for AI talent
For over 12 years, we have helped American companies scale their software teams and grow their businesses. Our focus is on seamlessly connecting you with the ideal Artificial Intelligence (AI) talent who not only possesses the right skills but also aligns with your project’s personality, culture, and expectations.
From day one, you and your team work with our expert team of recruiters and HR to meet your needs to the tee. There are no up-front fees to get started. Our commitment is demonstrated by the fact that you pay only after the first month your candidate is onboard.
15+
years in business
4y+
client engagement length
4.6 y
average retention time
1,250
filled roles
Struggling to find top talent on your own? Skip the recruitment hassle
Access top-tier, pre-screened professionals within 48 hours of sharing your job details. All candidates are sourced from our 12-year-strong database and network in Colombia.
Hire talent
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Luis P.
Frontend / Mobile Developer
- ReactJS
- React Native
Luis is a Mechanical Engineer with over 4 years of experience working with multidisciplinary and multicultural teams. He has knowledge of SCRUM for project planning and execution.
Chile
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Daniel C.
Backend Developer
- NodeJS
- Typescript
Daniel has over 6 years of experience working as a backend developer, mainly using NodeJS. He's adept at tackling diverse IT challenges and is oriented to fulfilling project objectives.
Colombia
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Laura V.
Product Designer
- Figma
Laura has over 7 years of experience as a Product Designer. She is skilled at identifying user needs, researching, and creating wireframes and prototypes to optimize user interactions.
Argentina
The ultimate guide for hiring AI engineers
Are you seeking to accelerate the growth and scale your development team? Recognizing the pivotal role talent plays in project success, we've crafted a guide to enhance your understanding of the hiring process. Explore insights on what to anticipate from experts in technical and soft skills and responsibilities, along with FAQs. We will give you a whole different perspective!
Before you start hiring
Access top-tier, pre-screened professionals within 48 hours of sharing your job details. All candidates are sourced from our 15-year-strong database and network in Latin America.
Define your project requirements
Clearly define your project goals, scope, and technical requirements. The difficulty level and the type of task you're dealing with will determine the skills and expertise needed.
Culture fit
Your hires must align with your company goals, values, and team culture. Someone who can integrate seamlessly into your team will adapt faster to your workflow and be more productive.
Budget planning
Establish a budget for your experts. Consider factors like labor costs, project timeline, infrastructure, and potential travel expenses.
Team proximity
Decide between outsourcing IT talent or in-house hiring. A hybrid approach, which combines these two, is also a viable option in some cases, providing a balance between control and flexibility.
Technical skills every AI engineer should have
Your AI engineer needs a range of skills to manage day-to-day tasks and protect your software’s future. When they have the right technical skills, your projects will flow effortlessly, with top-quality code and minimal supervision.
- Machine Learning and Deep Learning Frameworks
- Python Programming and Data Science Libraries
- Large Language Models (LLMs) and Generative AI
- Computer Vision and Natural Language Processing
- Cloud AI Platforms (AWS, GCP, Azure)
- MLOps and Model Deployment
- Statistical Analysis and Mathematical Modeling
- Data Engineering and Pipeline Development
- AI Ethics and Responsible AI Development
Skills that go beyond code
Communication skills
Engineers who excel in expressing ideas with clarity and breaking down complex technical concepts for non-technical team members also possess the skill to write comprehensible documentation, actively listen to feedback, and welcome suggestions with open arms.
Problem-solving and critical thinking
An engineer who is involved in creatively addressing challenges, proactively identifying potential issues, and creating effective strategies to overcome problems is someone you want to have on your team. It's all about taking a proactive approach to find solutions that go beyond the usual methods.
Teamwork and collaboration
Engineers who can work well with others, participate in group projects, and contribute effectively in a team setting bring a lot to the table. This also includes being open to different perspectives and respecting the input of other team members.
Time management and organization
Engineers must balance multiple projects, meet deadlines, and effectively manage workload while maintaining high-quality output.
Attention to detail
Engineers should be able to focus on the finer details of code, ensuring accuracy and minimizing errors, which is crucial for the functionality and reliability of applications.
Communication skills
Engineers who excel in expressing ideas with clarity and breaking down complex technical concepts for non-technical team members also possess the skill to write comprehensible documentation, actively listen to feedback, and welcome suggestions with open arms.
Problem-solving and critical thinking
An engineer who is involved in creatively addressing challenges, proactively identifying potential issues, and creating effective strategies to overcome problems is someone you want to have on your team. It's all about taking a proactive approach to find solutions that go beyond the usual methods.
Teamwork and collaboration
Engineers who can work well with others, participate in group projects, and contribute effectively in a team setting bring a lot to the table. This also includes being open to different perspectives and respecting the input of other team members.
Time management and organization
Engineers must balance multiple projects, meet deadlines, and effectively manage workload while maintaining high-quality output.
Attention to detail
Engineers should be able to focus on the finer details of code, ensuring accuracy and minimizing errors, which is crucial for the functionality and reliability of applications.
Responsibilities of AI engineers
Our experts focus on writing solid, efficient code while creating innovative solutions that push our technology forward.
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Algorithm development
AI engineers design and develop algorithms and models for various applications such as natural language processing, computer vision, speech recognition, recommendation systems, and more.
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Data processing and analysis
AI engineers work with large datasets, cleaning and preprocessing data to make it suitable for machine learning tasks. They also analyze data to identify patterns and insights that can inform model development.
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Model training and evaluation
AI engineers train machine learning models using relevant datasets and evaluate their performance using appropriate metrics.
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Deployment and integration
AI engineers deploy trained models into production environments, integrating them with existing systems and infrastructure. This may involve designing APIs, managing dependencies, and ensuring scalability.
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Monitoring and maintenance
Once deployed, AI engineers monitor the performance of deployed models, identifying issues such as drift in data distributions or declining performance over time.
How it works
Getting started with us is easy and there are no strings attached or up-front costs. We take care of sourcing, screening and legal/tax compliance while you focus on your business.
01
Job descriptions
Let us know what type of talent you need. We will build the perfect job profile for the role.
02
Screening
We take a multi-channel approach to sourcing, screening and finding only those candidates who are a perfect match.
03
Interviews
We set up as many interviews as you decide to have with potential candidates. Your process, your decision.
04
Onboarding
Once you give us the green light, we onboard your new members. We take care of all legal and tax compliance.
Why Hire AI Engineers from Latin America?
AI engineers from Latin America are at the forefront of the global AI revolution, with the region producing over 200,000 AI and machine learning professionals. Countries like Colombia, Brazil, Mexico, and Argentina have invested heavily in AI education and research, creating a talent pool that combines strong technical foundations with innovative problem-solving approaches.
Strategic Advantages:
World-Class AI Education: Latin American universities offer cutting-edge AI and machine learning programs, with many graduates holding advanced degrees in computer science, mathematics, and data science. Universities like Universidad de São Paulo, UNAM, and Universidad de los Andes are globally recognized for their AI research.
Timezone Synchronization: AI engineers in Latin America work in compatible time zones (EST to PST), enabling real-time collaboration on AI model development, training sessions, and rapid iteration cycles essential for AI projects.
Cost-Effective Excellence: Hiring AI engineers from Latin America provides 60-75% cost savings compared to US-based talent while maintaining equivalent expertise in machine learning, deep learning, and AI system development.
English Fluency and Communication: AI engineers in the region possess strong English skills crucial for technical documentation, research paper collaboration, and presenting AI insights to stakeholders.
Emerging AI Hub: Latin America is rapidly becoming a global AI innovation center, with strong government support, growing startup ecosystems, and increasing investment in AI research and development initiatives.
What Does an AI Engineer Do?
AI engineers are specialized software engineers who design, develop, and deploy artificial intelligence systems that can learn, reason, and make decisions. They bridge the gap between theoretical AI research and practical business applications, creating intelligent systems that solve real-world problems.
Core Responsibilities:
Machine Learning Model Development: AI engineers design and implement machine learning algorithms for classification, regression, clustering, and recommendation systems. They select appropriate algorithms, feature engineering techniques, and evaluation metrics for specific business problems.
Deep Learning and Neural Networks: They build complex neural network architectures including convolutional neural networks (CNNs) for computer vision, recurrent neural networks (RNNs) for sequential data, and transformer models for natural language processing tasks.
Large Language Model Integration: AI engineers work with pre-trained models like GPT, BERT, and custom LLMs to build conversational AI, content generation systems, and intelligent automation tools that enhance user experiences.
Data Pipeline and MLOps: They create robust data processing pipelines, implement model versioning, automate training workflows, and deploy AI models to production environments with monitoring and continuous improvement systems.
AI System Architecture: AI engineers design scalable AI infrastructures that can handle large datasets, real-time inference, and integration with existing business systems while ensuring performance and reliability.
Essential AI Engineer Skills
Technical Expertise:
Programming and Frameworks: Advanced proficiency in Python, with deep knowledge of TensorFlow, PyTorch, Keras, and Scikit-learn for machine learning development. Experience with Jupyter notebooks, pandas, and NumPy for data manipulation and analysis.
Machine Learning Algorithms: Comprehensive understanding of supervised, unsupervised, and reinforcement learning algorithms, including decision trees, random forests, support vector machines, neural networks, and ensemble methods.
Deep Learning Specialization: Expertise in building and training deep neural networks, understanding of backpropagation, optimization algorithms, regularization techniques, and architecture design principles.
Cloud AI Platforms: Experience with AWS SageMaker, Google Cloud AI Platform, Azure Machine Learning, and other cloud-based AI services for scalable model training and deployment.
Data Engineering: Skills in data preprocessing, feature engineering, data visualization, and working with large datasets using tools like Apache Spark, Hadoop, and SQL databases.
AI Engineering Use Cases
Intelligent Automation: Building AI systems that automate complex business processes, document processing, customer service interactions, and decision-making workflows that reduce operational costs and improve efficiency.
Predictive Analytics: Developing forecasting models for sales, demand planning, risk assessment, and market analysis that help businesses make data-driven strategic decisions.
Computer Vision Applications: Creating image recognition systems, facial recognition, medical image analysis, autonomous vehicle components, and quality control systems for manufacturing.
Natural Language Processing: Building chatbots, sentiment analysis tools, document summarization systems, and language translation applications that enhance customer communication and content management.
Recommendation Engines: Developing personalized recommendation systems for e-commerce, content platforms, and social media that increase user engagement and revenue generation.
Our AI Engineer Hiring Process
Step 1: AI Project Analysis (24-48 hours) We conduct a comprehensive analysis of your AI requirements, including data availability, expected outcomes, technical constraints, and business objectives to identify the ideal AI engineer profile for your project.
Step 2: Specialist Matching (2-3 days) Our AI technical team reviews our pool of specialized AI engineers and presents 3-5 candidates whose expertise aligns with your specific AI domain (computer vision, NLP, ML, etc.). Each candidate has completed advanced AI assessments.
Step 3: Technical Deep Dive (3-5 days) You conduct technical interviews focusing on AI algorithm knowledge, hands-on coding assessments, and portfolio reviews of previous AI projects. We provide AI-specific evaluation frameworks and technical guidance.
Step 4: AI Team Integration (1-2 weeks) Once you select your AI engineer, we facilitate comprehensive onboarding including data access setup, AI development environment configuration, and integration with your existing data science and engineering teams.
Flexible AI Development Engagement Models
We provide adaptable engagement options tailored to your AI project complexity and business timeline, ensuring optimal resource allocation for successful AI implementation.
Dedicated AI Development Teams
Full-time AI specialists who work exclusively on your projects, providing consistent development momentum and deep understanding of your AI objectives and data landscape.
Individual AI Specialist Placement
Expert AI engineers who can address specific technical challenges, whether for computer vision, NLP, machine learning model development, or AI system integration.
Project-Based AI Solutions
Structured engagements with clearly defined AI project scope, deliverables, and success metrics for focused AI implementation initiatives.
AI Consultation and Strategy
Strategic AI advisory services to help identify high-impact use cases, assess technical feasibility, and develop comprehensive AI adoption roadmaps.
Frequently Asked Questions
How quickly can I hire an AI engineer? Our specialized process allows you to interview qualified AI engineers within 2-3 days and have them start working on your AI project within 1-2 weeks. We maintain a curated pool of AI specialists to ensure rapid deployment.
What AI technologies and frameworks do your engineers specialize in? Our AI engineers are proficient in TensorFlow, PyTorch, Keras, Scikit-learn, OpenAI APIs, Hugging Face transformers, computer vision libraries (OpenCV), and cloud AI platforms (AWS SageMaker, Google AI Platform, Azure ML).
How do you assess AI engineer technical capabilities? All AI engineers complete comprehensive assessments including machine learning algorithm implementations, model optimization challenges, and real-world AI problem-solving scenarios. We evaluate both theoretical knowledge and practical AI development skills.
What industries have your AI engineers worked in? Our AI engineers have experience across healthcare (medical imaging, drug discovery), fintech (fraud detection, algorithmic trading), retail (recommendation systems), automotive (computer vision), and technology (NLP, conversational AI).
Can AI engineers work with my existing data science team? Yes, our AI engineers are experienced in collaborative environments and can integrate seamlessly with data scientists, ML engineers, and software developers. They follow best practices for version control, documentation, and team workflows.
How much does it cost to hire an AI engineer from Latin America? AI engineer rates range from $40-$90 per hour depending on specialization and experience. This represents significant cost savings compared to US-based AI talent while providing access to world-class expertise.
What types of AI projects are most suitable for remote engineers? Our AI engineers excel at machine learning model development, computer vision applications, natural language processing systems, recommendation engines, and AI-powered automation solutions that can be developed and deployed remotely.
How do you ensure AI model quality and performance? All AI engineers follow rigorous model validation practices including cross-validation, performance metrics analysis, bias detection, and model interpretability techniques. They implement comprehensive testing and monitoring frameworks.
Do your AI engineers have experience with large language models and generative AI? Yes, many of our AI engineers specialize in LLMs and generative AI with experience in fine-tuning models, prompt engineering, RAG systems, and building applications with OpenAI, Anthropic, and other LLM providers.
What if I need an AI engineer with specific domain expertise? We can match you with AI engineers who have relevant domain experience in healthcare, finance, retail, or other industries. Our technical team maintains detailed profiles of engineer specializations and past project experience.
Ready to hire expert AI engineers who can transform your business with cutting-edge artificial intelligence solutions? Our vetted Latin American AI engineers are ready to join your team and drive AI innovation that delivers measurable business results.
Get in touch
Let's build your dream team today
Hire expert developers in your tech stack, aligned with your time zone. We handle payroll, benefits, and compliance.