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International Engineer Jobs (NOW HIRING)

Jobgether

Our partner is looking for an AI Engineer (Remote, International) based in Netherlands. This role sits within a high-performance engineering environment focused on building and scaling AI systems ...

Alpaca

International Accounting Manager

Our global team is a diverse group of experienced engineers, traders, and brokerage professionals ... We are seeking an experienced and detail-oriented International Accounting Manager to oversee ...

APS

Engineer I / II - Electrical

Tempe, AZ ยท On-site

A four-year Bachelors degree in an engineering discipline or related applied science discipline (see approved list) from an ABET accredited institution, an International Engineering Alliance (IEA ...

APS

Generation Plant Engineer I / II

Phoenix, AZ ยท On-site

A four-year Bachelors degree in an engineering discipline or related applied science discipline (see approved list) from an ABET accredited institution, an International Engineering Alliance (IEA ...

K&K Technical

Manufacturing Project Engineer

Liberty, NC ยท On-site

$70 - $75/hr

Up to 10% Domestic & International Schedule: Full-Time | Weekend & Shutdown Support as Needed 1489320) About the Opportunity We are seeking a highly motivated Battery Manufacturing Project Engineer ...

Lin Engineering Inc

International Buyer

Morgan Hill, CA ยท On-site

$70K - $98K/yr

Handle engineering changes and samples - Process engineering change notifications, manage sample ... Overseas procurement experience - managed international supplier relationships and understands ...

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International Engineer information

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$39K

$101.8K

$137.5K

How much do international engineer jobs pay per year?

As of Jul 12, 2026, the average yearly pay for international engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by International Engineers when working on cross-border projects?

International Engineers often navigate challenges such as coordinating with teams across different time zones, adapting to diverse regulatory standards, and overcoming language or cultural barriers. Managing complex logistics and ensuring compliance with local laws can also require extra diligence. Successful International Engineers are proactive communicators and flexible problem-solvers, able to adjust their approach to fit the needs of global stakeholders and project requirements.

What is an International Engineer?

An International Engineer is a professional who applies engineering principles and practices to projects that span multiple countries or regions. They often work with global teams, adapt to different regulatory environments, and may travel or relocate to oversee projects abroad. Their role includes designing, implementing, and managing engineering solutions while considering cultural, legal, and logistical differences across countries. International Engineers typically have strong technical skills, language proficiency, and cross-cultural communication abilities. They play a crucial role in global companies looking to expand or maintain international operations.

What is the difference between International Engineer vs Mechanical Engineer?

AspectInternational EngineerMechanical Engineer
Required CredentialsBachelor's degree in engineering, often with international certifications or language skillsBachelor's degree in mechanical engineering, professional licensure varies by country
Work EnvironmentGlobal projects, multinational companies, often abroad or in diverse settingsDesign, analysis, manufacturing in industrial or corporate settings
Employer & Industry UsageInternational firms, engineering consultancies, multinational corporationsManufacturing, automotive, aerospace, energy sectors

International Engineers and Mechanical Engineers share foundational engineering skills, but International Engineers focus on global projects, cross-cultural communication, and international standards, while Mechanical Engineers concentrate on designing and analyzing mechanical systems within specific industries. Both roles require strong technical credentials, but their work environments and employer types differ significantly.

What Does an International Engineer Do?

The job responsibilities of an international engineer involve performing engineering and design duties in a foreign country. In this career, you can work in a variety of engineering specialties, including manufacturing, civil, construction, a petroleum, or industrial design engineering. You may operate as a technical engineering consultant, working directly for a foreign-owned company or a global corporation. You may audit operations or oversee design efforts in an overseas plant, or you may help improve processes and practices for a manufacturing facility or oil and gas operation.

What are the key skills and qualifications needed to thrive as an International Engineer, and why are they important?

To thrive as an International Engineer, you need a strong background in engineering principles, a relevant engineering degree, and experience working on multinational projects. Proficiency with industry-standard design software (such as AutoCAD or SolidWorks), familiarity with international codes and standards, and, in some cases, professional engineering certification (like PE or equivalent) are commonly required. Strong cross-cultural communication, adaptability, and problem-solving skills help navigate diverse teams and global challenges. These competencies ensure effective collaboration, compliance with local regulations, and successful project delivery across different countries.
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International Engineer jobs near you

AI Engineer (Remote, International)

Jobgether

Remote

Full-time

Posted 14 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Engineer (Remote, International) based in Netherlands.

This role sits within a high-performance engineering environment focused on building and scaling AI systems powered by large language models and real-time data. You will work on designing and deploying AI-driven components that enhance internal workflows and user-facing experiences, spanning data retrieval, conversational interfaces, and intelligent decision systems. The work operates at the intersection of machine learning, distributed systems, and advertising technology, where performance, scale, and latency are critical. You will also contribute to improving underlying data infrastructure to support LLM-based applications and evolving AI workloads. This is a highly collaborative role involving engineers, analysts, and product teams, with strong emphasis on experimentation and rapid iteration. You will have significant autonomy to explore emerging AI frameworks while helping define the long-term technical direction of generative AI systems.

Accountabilities:
  • Design, build, and maintain LLM-powered AI components supporting internal tools and user-facing applications.
  • Develop systems spanning data retrieval, embeddings, conversational interfaces, and intelligent automation workflows.
  • Experiment with and evaluate new AI models, frameworks, and architectures in the rapidly evolving generative AI landscape.
  • Improve and optimize underlying data infrastructure to support scalable and reliable LLM usage.
  • Collaborate with cross-functional teams including engineers, analysts, and product stakeholders to identify and deliver AI use cases.
  • Contribute to the technical vision and evolution of generative AI systems within a high-scale AdTech environment.
  • Support production-grade systems operating at high throughput, low latency, and large-scale data volumes.
Requirements:
  • Strong Python programming skills with experience in data manipulation libraries such as NumPy and Pandas.
  • Solid understanding of SQL and relational data systems.
  • Hands-on experience or strong familiarity with AI/ML systems such as LLM inference, embeddings, vector databases, or ranking models.
  • Experience working with distributed systems or containerized environments (e.g., Kubernetes is a plus).
  • Knowledge of machine learning concepts and data-driven problem-solving approaches.
  • Strong analytical and critical thinking skills with the ability to troubleshoot complex systems independently.
  • Proactive mindset with ownership, accountability, and a strong sense of initiative.
  • Bonus: experience with Java, time-series analysis, or large-scale advertising or real-time systems.
Benefits:
  • Competitive compensation aligned with international remote engineering roles.
  • Opportunity to work on large-scale AI systems processing billions of real-time events.
  • Remote-first international work environment with high autonomy and flexibility.
  • Exposure to cutting-edge generative AI technologies and fast-moving experimentation cycles.
  • Collaborative, flat-structure engineering culture with direct access to technical leadership.
  • High ownership of projects with real-world production impact at massive scale.
  • Opportunity to influence the future direction of LLM-based systems in a high-growth AdTech environment.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
ย Why Apply Through Jobgether?ย 
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Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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