Real AI work
Build products that use AI in production, from user-facing features to internal tools and workflows.
AIRemote AI Engineer Jobs With Top US Companies
Full-time, 100% remote roles with US product teams. Paid in USD. Built for the long run.
- 15+
- AI engineers from LATAM on US teams via BEON
- 1 in 2
- BEONers stay 2+ years with their team
- 26+
- BEONers certified by Anthropic
Join Leading US Teams
Why BEON for AI Engineers
Top US clients
Join high-performing teams working with ambitious companies across the US.
Growth support
Every engineer at BEON gets a dedicated Talent Experience Manager to support growth goals, learning, and career development.
Long-term impact
Work in stable, long-term partnerships where your knowledge compounds over time.
Developer-first culture
You’ll be part of a company built around engineers, with the tools, support, and environment to do your best work.
How to Join BEON
Our process is designed to be clear, supportive, and focused on finding the right long-term match for both engineers and clients.
Unlock the right opportunities
Share your career goals and help us understand your English level.
15 minutesTake a quick technical interview and unlock access to all our positions.
1 hourShare your career goals and help us understand your English level. Take a quick technical interview and unlock access to all our positions.
Open AI Jobs For Remote Engineers
Explore current opportunities for AI engineers working remotely with top US companies.
Land your dream job today.
Looking for the best remote developer job?
Looking for the best remote developer job?
What BEON Offers AI Engineers
Stability You Can Build On
USD compensation and full benefits Remote-first, long-term roles Built for engineers who stay and grow.
USD salaries & remote opportunities
Health insurance, internet, and therapy sessions.
Developer-centric culture
Long-term role with real ownership
USD salaries & remote opportunities
Health insurance, internet, and therapy sessions.
Developer-centric culture
Long-term role with real ownership
Growth That Keeps You Ahead
Learning resources, AI tools, and a dedicated manager to support your next move — before you even know you need it.
Full access to Udemy and O’Reilly
AI tools and access to our exclusive AI Path program
Developer-centric culture
Dedicated Talent Experience Manager
Full access to Udemy and O’Reilly
AI tools and access to our exclusive AI Path program
Developer-centric culture
Dedicated Talent Experience Manager
Perks That Make the Difference
Hardware budget, full equipment, and a trip to Buenos Aires HQ. The details that make work worth it.
A US$1,000 package to upgrade your hardware
All the equipment you need
Trip to headquarters in Buenos Aires
Remote-first flexibility
A US$1,000 package to upgrade your hardware
All the equipment you need
Trip to headquarters in Buenos Aires
Remote-first flexibility
AI Culture
A Word From Our AI Ambassador
Get to know one of our own. Our AI Ambassador is one of our incredible BEONers, sharing a real perspective on what it’s like to grow in this space.
Gilvanei Gregório
AI Engineer at BEON
Gilvanei Gregório is a Senior AI Engineer with 12+ years of experience building scalable backend, AI, data, and web systems.
He has led tech teams, worked with international startups and US clients, and contributed to projects across social media, marketing technology, automation, and generative AI. He studied Quality and Software Engineering and Digital Games at Universidade do Vale do Itajaí.
12+ years
in software engineering
Technologies
AI, Python, OpenAI API, LLMs, LangChain
Tech lead experience
Across AI, automation, backend, and web applications
What should developers focus on to land AI Engineer jobs?
Gilvanei Gregório
Testimonial
0:000:50
What will help you learn in your engineer job is understanding how LLM is actually behaving.
What Does an AI Engineer Do?
AI engineer responsibilities vary by product, but most roles include a mix of engineering, experimentation, and collaboration.
Build and integrate AI-powered product features
Work with APIs, models, prompts, and orchestration tools
Design and improve workflows using LLMs and automation
Evaluate outputs and improve quality, consistency, and usability
Collaborate with product, design, and engineering teams
Connect AI systems with backend services, data pipelines, and user-facing applications
Help move ideas from prototype to production
Build and integrate AI-powered product features
Work with APIs, models, prompts, and orchestration tools
Design and improve workflows using LLMs and automation
Evaluate outputs and improve quality, consistency, and usability
Collaborate with product, design, and engineering teams
Connect AI systems with backend services, data pipelines, and user-facing applications
Help move ideas from prototype to production
Skills and Qualifications for AI Engineer Roles
Most AI Engineer opportunities at BEON look for strong software fundamentals first, plus the ability to work with modern AI tools in practical, product-focused ways.
Core Requirements
Strong software engineering fundamentals
Experience building backend or full-stack systems
Comfort working with APIs and production environments
Python or JavaScript/TypeScript experience
Product thinking and problem-solving skills
Strong communication and collaboration
Ability to learn quickly and work across evolving tools and workflows
Nice to Have
Experience with LLMs in real products
Familiarity with RAG, evaluation, or prompt workflows
Experience with vector databases or orchestration frameworks
Exposure to data pipelines or ML-adjacent workflows
Experience shipping AI-assisted features to users
Curiosity for emerging AI tools and practical experimentation
Tools AI Engineers Use
AI engineers combine strong software foundations with hands-on experience using modern AI tools and workflows.
OpenAI and model APIs
Python
Vector databases
Orchestration frameworks
Evaluation tooling
Observability and logging tools
Backend frameworks and cloud platforms
Why Developers
Stay at BEON
Real developers, real reasons. Hear directly from BEONers about what makes them stay, grow, and build their careers here.
Because they get autonomy to build and propose ideas.
1/3
Why Developers
Stay at BEON
Real developers, real reasons. Hear directly from BEONers about what makes them stay, grow, and build their careers here.
1/3
Because they get autonomy to build and propose ideas.
Recognized by The People
Who Know Us Best
“They invest heavily in professional growth: English classes, access to courses, workshops, AI tools, and very strong technical support.”
QA Engineer
“They invest heavily in professional growth: English classes, access to courses, workshops, AI tools, and very strong technical support.”
QA Engineer
Support
Any questions?
We got you.
Here you'll find answers to the most common questions about our process. If you need more details, feel free to reach out!
Yes. Most AI engineer remote jobs at BEON are designed for Latin American engineers working remotely with US teams. You’ll collaborate with product, engineering, and business stakeholders while staying based in your country.
BEON works with long-term remote engagements with US companies, and the recruiting team will walk you through the contract type, expectations, benefits, and payment setup before moving forward.
Rates depend on seniority, country, role complexity, English level, and client requirements. As a reference, AI Engineer benchmarks go from US$6.5K to US$9.8K/month.
BEON supports different payment options depending on your country and setup. Many Latin American engineers working with US companies use platforms or bank solutions to receive payments in dollars. You can also check this guide on how Latin American professionals can receive dollars from the US.
Most senior ai developer jobs require strong software engineering fundamentals, backend or full-stack experience, API design, data handling, cloud familiarity, and the ability to work with ai tools for engineers. Experience with LLMs, vector databases, prompt workflows, automation, Python, TypeScript, or ML-adjacent systems can also be valuable.
Not always. Some roles require hands-on LLM or machine learning experience, while others are closer to backend, product engineering, automation, or data workflows. The exact ai engineer job description will define whether direct AI experience is required or whether adjacent experience is enough.
Senior candidates usually stand out when they can connect technical execution with product impact. US teams value engineers who can design scalable systems, communicate trade-offs clearly, work independently, review AI-generated outputs critically, and understand where AI can create real business value.
Ready to grow as an AI Engineer?
Explore open roles, join our talent network, and find
the right path for your next chapter.