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2,500+ companies use Revelo to scale their engineering capacity

40k+

VETTED SOFTWARE
ENGINEERS

14 days

average time
to hire

100+

TECHNOLOGIES
COVERED

30-50%

savings over
US hires

Hire the top 1% of

AI

Engineers

Ademir G.
Mobile Developer
8 years
of experience
Fluent in English
Android
iOS
Swift
Apple
Hybrid App
Adriana G.
Front-end Developer
11 years
of experience
Fluent in English
Ruby
Ruby on Rails
Vue.js
React.js
AWS
Adriana R.
Back-end Developer
8 years
of experience
Fluent in English
Ruby
Java
Rust
PHP
SQL CLR
Agustina M.
Fullstack Developer
8 years
of experience
Fluent in English
JavaScript
Go
CSS
HTML5
SQL
Agustina R.
Fullstack Developer
8 years
of experience
Fluent in English
Swift
Flutter
Python
JavaScript
SQL
Alberto P.
Back-end Developer
12 years
of experience
Fluent in English
Python
React.js
Go
Next.js
Java
Alejandro H.
Salesforce Engineer
8 years
of experience
Fluent in English
Android
Kotlin
JavaScript
HTML5
Flutter
Alexandre C.
Back-end Developer
8 years
of experience
Fluent in English
Python
Java
Rust
React.js
Amazon Redshift
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Co-Founder & COO at Ducky.ai
Revelo made it so easy to scale my dev team—I was able to get several top engineers up and running in under 2 weeks, and that cut our roadmap schedule in half!
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Heather Townsend
Co-Founder & COO at Cabana
Revelo made it so easy to scale my dev team—I was able to get several top engineers up and running in under 2 weeks, and that cut our roadmap schedule in half!
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Charlie Hill
Co-Founder & Chief Product Officer at Harbor
Revelo made it so easy to scale my dev team—I was able to get several top engineers up and running in under 2 weeks, and that cut our roadmap schedule in half!
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4.7 Stars • Leader 2026

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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 &

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

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