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AI
 
Engineers
in U.S. time zones and provide support with payroll, taxes, local compliance, and access to best-in-class benefits.

Get added peace of mind with Revelo’s risk-free trial. If you’re not satisfied with your hire within the first 14 days: You pay nothing, and we’ll find you a new candidate at no additional cost.

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Hire the Top 1% of AI Engineers

Eduarda B.

Front-end Developer
Pacific Timezone

Experience

10 years

AVAILABILITY

Full-time

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Eduarda B.

Eduardo R.

Fullstack Developer
Eastern Timezone + 1

Experience

6 years

AVAILABILITY

Full-time

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Eduardo R.

Maria H.

Back-end Developer
Eastern Timezone + 1

Experience

6 years

AVAILABILITY

Full-time

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Maria H.

Beatriz D.

Back-end Developer
Eastern Timezone

Experience

6 years

AVAILABILITY

Full-time

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Beatriz D.

Gustavo G.

Back-end Developer
Eastern Timezone

Experience

11 years

AVAILABILITY

Full-time

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Gustavo G.

Alberto P.

Back-end Developer
Eastern Timezone

Experience

12 years

AVAILABILITY

Full-time

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Alberto P.

Willian C.

Fullstack Developer
Eastern Timezone

Experience

10 years

AVAILABILITY

Full-time

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Willian C.

Adriana R.

Back-end Developer
Pacific Timezone

Experience

8 years

AVAILABILITY

Full-time

Hire
Adriana R.

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Rigorously vetted for technical and soft skills. Expertly hand-picked for your needs

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Work synchronously with developers in the same or overlapping US time zones

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Interview Questions

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Very well-vetted, high-quality candidates, ensure that I don't waste time interviewing unqualified people. They also make payroll a breeze and allow us to offer competitive benefits packages and provide hardware to our employees. They help find solutions that work for you rather than just making up the numbers and building a funnel.
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Senior Manager of Recruiting
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Access Revelo's talent pool of AI Engineers with technical expertise across Libraries, APIs, Platforms, Frameworks, and Databases

Libraries

Frameworks

Facebook API | Instagram API | YouTube API | Spotify API | Apple Music API | Google API | Jira REST API | GitHub API | SoundCloud API

APIs

Amazon Web Services (AWS) | Google Cloud Platform (GCP) | Linux | Docker | Heroku | Firebase | Digital Ocean | Oracle | Kubernetes | Dapr | Azure | AWS Lambda | Redux

Platforms

Databases

MongoDB | PostgreSQL | MySQL | Redis | SQLite | MariaDB | Microsoft SQL Server

Tips for Hiring AI Engineers

Artificial intelligence (AI) is radically transforming the technological landscape as we know it. At the epicenter of this revolution are AI developers. These software developers specialize in machine learning (ML), neural networks, and deep learning, bringing to life the machines that can think, learn, and evolve. As a leader in a tech company, you might need to hire AI engineers to drive innovation, develop new tech products, and stay ahead of the curve in this AI-powered era.

However, finding and hiring vetted developers with expertise in AI isn't a walk in the park. The demand for these highly specialized professionals outstrips supply significantly. The hiring process often runs into challenges like a lack of qualified candidates, the high cost of hiring, and fierce talent competition.

This article will provide insights into understanding the role of a skilled AI engineer, how much these developers earn, and actionable tips to attract and hire top AI specialists. Discover how Revelo can help you hire the best remote AI engineers and make your tech team future-proof.

What Is AI Development?

AI development involves designing, developing, and integrating artificial intelligence into products, services, frameworks, or processes to solve complex problems and improve functionality. This field leverages AI development to make systems more efficient, automate repetitive tasks, provide predictive analytics, and even mimic human intelligence.

Examples of AI development projects can vary widely depending on the organization and projects, but some common types include:

  • Developing artificial intelligence and machine learning models for data analysis and predictions

  • Natural language processing (NLP) for customer service or automated AI chatbots

  • Computer vision and image analysis for facial recognition, object detection, and autonomous drones

  • Robotic process automation (RPA) to reduce human labor and cost

  • Cognitive computing to enable machine reasoning

What Does an AI Engineer Do?

An AI developer primarily focuses on developing, testing, and deploying AI models and maintaining the underlying AI infrastructure. When you hire artificial intelligence engineers, their typical day might include a diverse range of tasks, such as the following:

  • Designing and developing machine learning and deep learning systems

  • Running machine learning tests and experiments to gather data and refine models

  • Implementing appropriate ML algorithms

  • Conducting research and implementing new AI models and applications

  • Collaborating with different functional teams to implement models and monitor outcomes

  • Developing ML applications according to requirements

  • Keeping abreast of developments in the field to ensure that current and future projects are cutting-edge

AI Developer Salary

According to Glassdoor, the average annual pay for a mid-level AI engineer with four to six years of industry experience in the U.S. is around $162,570.

Despite having equal skill levels and experience, software engineers in Latin American countries typically earn 30% to 50% less than those in the U.S., a difference primarily attributed to lower living costs. Revelo offers a solution if you seek a financially savvy approach without sacrificing talent quality. We serve as a bridge connecting you to a curated pool of accomplished, pre-screened Latin American developers, ensuring you obtain exceptional top AI talent at a more economical cost.

How to Write a Job Description for AI Engineers

To write a job description that will attract top artificial intelligence engineers, start by identifying the level of expertise you need — a junior developer for maintaining and refining existing models, a mid-level engineer to lead project-specific tasks, or a senior developer with robust AI capabilities to drive the overall AI strategy and supervise teams. Your project scope, complexity, and budget can guide this decision.

In your AI job description, aim to outline the following sections thoroughly:

  • Required education & experience: Specify the minimum educational background, such as a bachelor's degree in computer science, data engineering, or a related field, industry-specific certifications, hands-on experience in software development, and work history your ideal candidate should possess.

  • Job responsibilities: Lay out the primary duties and tasks included in this role, such as designing AI models, developing AI solutions, coding ML algorithms, building AI systems, managing AI projects, and researching new application technologies.

  • Preferred qualifications: List additional skills or certifications that would be advantageous for a successful applicant but are not essential for the job, such as knowledge of specific AI technologies or programming languages used in AI, like Python or Java.

  • Benefits: A competitive benefits package can attract top talent. Include health benefits, retirement plans, vacation policies, remote work options, and any unique perks your company offers, such as continuous learning opportunities.

  • Company information: Give potential candidates a feel for your company's culture, mission, and values. This can help you attract candidates who align with your company ethos and will likely thrive in your work environment.

Interview Questions for AI Developers

Below are some questions you can use when interviewing AI engineers to assess their knowledge, skills, and potential fit with your team.

Can you explain logical inference in propositional logic?

This question is pivotal because it assesses the candidate's understanding of the fundamental concepts of artificial intelligence. Logical inference in propositional logic is a core concept in AI used to perform operations on the truth or falsity of statements.

An experienced AI developer should explain that logical inference is the process of deriving new statements (conclusions) based on given statements (premises). It forms the basis of many AI algorithms, especially those dealing with knowledge representation and reasoning. The candidate might also mention that this concept is important in the decision-making processes of AI models, as they rely on inferring outcomes based on a set of input conditions.

What is the difference between strong AI and weak AI?

Asking this question can help you assess an AI engineer's approach to AI development and their ability to anticipate and respond to future trends and challenges. A good response would accurately describe the difference between the two and include specific examples or discuss AI's potential evolution and ethical implications.

Strong AI, or artificial general intelligence (AGI), signifies systems with general intelligence similar to human intelligence, enabling them to understand, learn, adapt, and implement knowledge. On the other hand, weak AI, or narrow AI, includes systems designed to perform a specific task without possessing understanding or consciousness.

Can you describe the stages involved in building a model in machine learning?

Asking this question is crucial for evaluating the candidate's practical understanding of machine learning, a fundamental aspect of AI engineering. Model building involves several key stages — understanding the problem, collecting and preparing the data, choosing the right algorithm, training the model, testing and validating the model, and deploying the model.

An experienced AI engineer should comprehensively cover these critical steps, demonstrating their knowledge, attention to detail, and systematic approach to problem-solving. Furthermore, their ability to discuss nuances like data cleaning, feature selection, or model validation can give you insights into their depth of understanding and hands-on experience.

Why Hire AI Developers With Revelo?

It can be a lengthy and challenging process to source, vet, and hire the top AI engineers. But Revelo can help you hire the best artificial intelligence engineers for your team.

As an established talent marketplace, Revelo connects you with pre-vetted, high-quality remote AI engineers for hire in Latin America. Our comprehensive vetting process guarantees that you only engage with skilled developers and AI experts, ready to contribute to your team immediately. Partner with Revelo today and let us help you hire an AI engineer quickly without compromising talent quality.

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Frequently Asked Questions

Is there a free trial period for hiring
AI
 
Engineers
through Revelo?

Yes, if for any reason you find the developer you hire isn't a good fit within the first 14 days - you pay nothing or we can find you a replacement at no additional cost.

How are Revelo
AI
 
Engineers
different?
Revelo offers full-time remote
AI
 
Engineers
who share or highly overlap with your work day. You get world-class
AI
 
Engineers
in Latin America who speak English and are vetted on soft and technical skills. All
Engineers
live in the same time zones as the US or adjacent due to our talent base being exclusively in Latin America.
How do I hire
AI
 
Engineers

Hiring a full-time developer through Revelo is a simple 3-step process. First, you tell us your hiring needs. Second, we match you to the best developers within 3 days. Third, you interview the candidates you like and hire the one you like most.

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