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Ai Automation Engineer Jobs in Micronesia (NOW HIRING)

$70/day

... AI automation with human-in-the-loop oversight. We are headquartered in Miami. We are hiring a ... The Role You will report to the Head of Engineering. Your work focuses on Shared Services platform ...

$54.50 - $72/hr

We are excited to be adding an AI Networking Software Developer to our AI Networking SW development ... We strive for automation and develop many tools in-house yet adopt community accepted practices and ...

... AI infrastructure, contributing directly to the software foundation powering next-generation ... Develop tools, diagnostics, automation, and infrastructure for system validation, regression ...

You will pioneer AI-driven and sophisticated automation techniques that transform how sophisticated ... High-level programming skills including experience with Python, PERL, Make, and shell scripting.

$108K - $147K/yr

Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era ... NVIDIA is seeking an experienced software engineer to join the Cloud Foundations Automation team.

$120K/yr

Develop and deploy AI agents, copilots, and automation tools that support daily operations - integrating AI into existing systems to enhance decision-making and execution, not as a bolt-on layer but ...

$122K - $161K/yr

We build and manage the automation ecosystem supporting NVIDIA's GPU Cloud and NVIDIA SuperPod ... Today, we are increasingly known as "the AI computing company." We're looking to grow our company ...

$100K - $136K/yr

Around the world, leading commercial and academic organizations are revolutionizing AI, data ... automation (EDA), quantum chemistry, autonomous vehicles, LLMs, computer vision, encryption, and ...

ADI combines analog, digital, AI, and software technologies into solutions that combat climate ... in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more ...

$122K - $161K/yr

We are looking for a Senior Software Engineer - Server Manageability! NVIDIA's invention of the GPU ... AI servers. * Working with QA/Test architects to come up with proper test tools and automation for ...

$157K - $227K/yr

ADI combines analog, digital, AI, and software technologies into solutions that combat climate ... in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more ...

NVIDIA's AI platforms have already made a major impact across leading academic institutions, start ... Proficiency in Bash scripting, Ansible and Python programming, enabling automation, diagnostics ...

ADI combines analog, digital, AI, and software technologies into solutions that combat climate ... Develop trusted relationships across engineering, operations, procurement, business leadership, and ...

More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a ... We are looking for an outstanding hands-on architect/engineer for a Senior HPC architect role to ...

Expert programming and software skills in C++. * Experience in RTL design and/or architecture with ... An automation-centered mindset. * A desire to improve work efficiency using AI. Ways to stand out ...

$63 - $83/hr

Experience with DevOps practices and automation, including containerization, orchestration, and CI ... Experience integrating AI/ML capabilities into engineering workflows or production environments ...

$112K - $257K/yr

Experience with DevOps practices and automation, including containerization, orchestration, and CI ... Experience integrating AI/ML capabilities into engineering workflows or production environments ...

ADI combines analog, digital, AI, and software technologies into solutions that combat climate ... Bachelor's, Master's, or PhD in Electrical Engineering, Aerospace Engineering, Robotics, Computer ...

Ai Automation Engineer information

What is an AI automation engineer?

AI Automation Engineers are professionals who design, develop, and implement artificial intelligence solutions to automate tasks and workflows within organizations. They combine expertise in AI, machine learning, and software engineering to create systems that can perform repetitive or complex tasks efficiently with minimal human intervention. Their work often involves building and integrating AI models, optimizing processes, and ensuring the reliability and scalability of automated solutions. These engineers collaborate closely with data scientists, software developers, and business stakeholders to align automation initiatives with organizational goals.

What skills and qualifications are needed to thrive as an AI automation engineer?

To thrive as an AI Automation Engineer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and typically a degree in computer science, engineering, or a related field. Familiarity with automation frameworks, cloud platforms (like AWS, Azure, or GCP), and machine learning libraries (such as TensorFlow or PyTorch) is often required. Problem-solving ability, adaptability, and effective communication are crucial soft skills for collaborating across teams and addressing complex technical challenges. These skills ensure the successful design, implementation, and scaling of automated AI solutions that drive business efficiency and innovation.

What are common challenges faced by AI automation engineers during project implementation?

AI Automation Engineers often encounter challenges such as integrating new AI models with existing legacy systems, ensuring data quality for accurate model outputs, and managing stakeholder expectations regarding automation outcomes. They must also address issues related to model scalability and robustness, especially when deploying solutions in dynamic production environments. Collaboration with cross-functional teams—including data scientists, software engineers, and business analysts—is essential to navigate these complexities and deliver effective automation solutions.

What is the difference between Ai Automation Engineer vs Data Scientist?

AspectAi Automation EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of AI, automation toolsBachelor's or higher in Statistics, Computer Science, or related; strong analytical skills
Work EnvironmentTech companies, automation firms, R&D labs; focus on developing AI-driven automation solutionsData analysis teams, research institutions; focus on data modeling and insights
Employer & Industry UsageUsed in manufacturing, software development, AI startupsUsed across finance, healthcare, marketing, and tech sectors
Common Search & Comparison IntentUnderstanding roles in AI automationExploring data analysis careers

While both roles involve working with data and AI, Ai Automation Engineers focus on developing automated AI systems and integrating AI into processes. Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in application and focus areas.

Is AI automation a high paying job?

AI automation engineers typically earn higher-than-average salaries due to their specialized skills in machine learning, programming, and data analysis. Salaries vary based on experience, location, and industry, but the role is generally considered well-compensated within the tech field.

Is AI automation engineer in demand?

AI automation engineers are in high demand due to the increasing adoption of artificial intelligence and automation across industries. They are needed to develop, implement, and maintain AI-driven systems, often requiring skills in machine learning, programming, and data analysis. Job opportunities are growing as companies seek to improve efficiency and innovation through automation technologies.

What are popular job titles related to Ai Automation Engineer jobs in Micronesia?

For Ai Automation Engineer jobs in Micronesia, the most frequently searched job titles are:

Infographic showing various Ai Automation Engineer job openings in Micronesia as of June 2026, with employment types broken down into 82% Full Time, 6% Part Time, and 12% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution.

Product Engineer, Shared Services Platform

Extenteam Careers

Remote

$70/day

Full-time

Re-posted 5 days ago


Job description

About Extenteam

Extenteam is an AI-driven operations platform for short-term rental property managers. We handle guest communication and daily workflows for over 80,000 properties through a proprietary platform that combines AI automation with human-in-the-loop oversight. We are headquartered in Miami.

We are hiring a Product Engineer dedicated to improving the platform layer that our Shared Services team uses every day.

The Role

You will report to the Head of Engineering. Your work focuses on Shared Services platform improvements. Priorities are set jointly with the Head of Operations, who owns the operational signal driving what needs to be built.

You will do two things:

  1. Close incoming platform tickets from Shared Services. Agents, Team Leads, and operations report platform issues daily. Some are quick fixes. Some are workflow bugs. Some are configuration issues. You triage, diagnose, and ship the fixes.
  2. Identify patterns and ship platform improvements. When multiple agents report the same friction, that is not a ticket - that is a product problem. You investigate the underlying cause and ship a durable platform improvement that prevents the same issue from happening again. When a client complaint traces back to repeated agent failures, you ask "why is the platform allowing this?" and fix it at the source.

Every ship goes through the standard product and engineering process product filters for product coherence, design filters for UX consistency, standard code review applies. You work inside the same guardrails as any other engineer

What You Will Build

Examples of platform work this role would own:

  • Pre-send rule layer that catches compliance violations before AI or agent replies reach the guest
  • Agent tooling that surfaces the right SOP at the right moment based on ticket type and client
  • A repeat-failure detection layer that flags when the same issue is being escalated across multiple agents or shifts
  • Workflow improvements that reduce cognitive load on agents during high-volume periods
  • Integrations between platform and the tools agents rely on (Aircall, HubSpot, PMS platforms)
  • Instrumentation that connects client complaints back to specific platform gaps
What This Role Is Not
  • Not a ticket queue firefighter. That is other roles on the operations side.
  • Not a shadow engineering team. You report to and work within Engineering.
  • Not an independent operator building outside our platform. Everything you ship goes through product
Required Experience
  • 5+ years of software engineering experience, with at least 2 years shipping production code
  • Direct experience building internal tools, agent-facing platforms, or operational systems
  • Product mindset - comfortable scoping problems, asking users the right questions, and prioritizing tradeoffs
  • Track record of shipping fast while working within a product and design process
  • Experience working asynchronously with distributed teams
Required Technical Skills
  • Strong fluency in Python and/or TypeScript
  • Comfortable with agentic coding tools (Claude Code, Cursor, Replit Agent)
  • Database fluency (PostgreSQL preferred), able to write your own queries and design schemas
  • API integration experience (REST, webhooks, third-party SaaS APIs)
  • Prompt engineering experience with production AI systems (OpenAI, Anthropic, or similar)
Strongly Preferred
  • Experience building tools for contact center, customer support, or operations teams
  • Short-term rental, hospitality, or property management domain knowledge
  • Track record of deploying AI agents in production
How You Will Work
  • Reports to the Head of Engineering
  • Priorities set jointly with the Head of Operations based on operational signal
  • Product decisions filter through the Head of Product
  • Design decisions go through our design team
  • Weekly syncs with Engineering, Operations, and Product
  • We expect 5 hours of overlap with Miami time (Eastern Time) daily
Compensation

Base range is $70-105K USD depending on location and experience.

Location

Remote, based in Europe or South America.