J-1 Visa AI Engineer Jobs
AI Engineer roles in the United States are accessible to international candidates through J-1 visa sponsorship under the Research Scholar, Trainee, or Intern program categories, depending on your career stage. Designated sponsor organizations issue your DS-2019, while the U.S. tech or research employer serves as your host site.
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Rakuten International is a division of Rakuten Group, Inc., a Japanese global technology leader in services that empower individuals, communities, businesses and society. Headquartered in San Mateo, California with more than 4,000 employees worldwide, the Rakuten International business portfolio includes market leaders in e-commerce, digital marketing, advertising, communications and entertainment. We create products and services that provide exceptional value by aligning members and the businesses that want to engage them in a shared community.
Rakuten Advertising provides advertising technology and consumer insights to the world’s leading brands and retailers. Working with agencies and brands around the world, Rakuten Advertising unites technology, client strategy and consumer insights to deliver advertising experiences that drive increased brand awareness and marketing performance. With access to Rakuten’s diverse media properties and audiences, combined with an award-winning performance network and proprietary consumer research, Rakuten Advertising creates the right conditions to reach new customers and sustain long-lasting loyalty.
Job Summary:
Rakuten Advertising is seeking a highly skilled AI Engineer Intern to join our AI Center of Excellence. This role is designed for an advanced builder with significant practical experience in developing and deploying multi-agent systems.
As an intern, you will not simply be observing; you will be an active contributor to our engineering teams, assisting in the design and implementation of production-grade AI solutions. You will focus on orchestrating complex agentic workflows that drive intelligent automation across our global advertising platform. This is a unique opportunity to apply your expertise in Large Language Models (LLMs) and agent frameworks to solve enterprise-scale challenges.
The Intern Experience: At Rakuten, we pride ourselves on giving interns a genuine, immersive experience that has a direct impact on company objectives. You will do meaningful work, and with us, you'll be a true member of the team. We are also invested in your growth as an individual and professional. That's why you can expect curated events such as professional development workshops, interactions with Rakuten leadership, and relationship building opportunities with other interns and professionals at the company. You can visit our company website and our Muse profile, to learn more about Rakuten's culture and values, as well as hear from previous interns.
Key Responsibilities:
- Develop Multi-Agent Architectures: Collaborate with senior engineers to design and implement systems where multiple AI agents coordinate to execute complex workflows.
- Engineer Robust Frameworks: Build and refine agent communication patterns, memory management systems, and tool-usage protocols to ensure reliability and scalability.
- System Integration: Integrate LLMs with external APIs, databases, and existing enterprise infrastructure to create seamless automation loops.
- Reliability & Scaling: Assist in creating orchestration layers that manage failure modes gracefully and ensure consistent performance in a production environment.
- Innovation & Best Practices: Contribute to internal codebases and help establish engineering standards for agentic development within the organization.
Minimum Qualifications:
- Currently pursuing a Master’s degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related technical field.
- Proven Experience: Demonstrated history of building multi-agent systems (via internships, research, or significant personal projects).
- Technical Proficiency: Strong programming skills in Python with an emphasis on writing clean, maintainable, production-quality code.
- Framework Knowledge: Hands-on experience with agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen, Semantic Kernel, or custom-built solutions).
- LLM Expertise: Deep understanding of Large Language Model capabilities, context management, and advanced prompting strategies.
Preferred Qualifications:
- Active contributions to open-source AI or agent-based repositories.
- Familiarity with asynchronous programming, message queues, and distributed systems concepts.
- Experience implementing Retrieval-Augmented Generation (RAG) architectures and utilizing vector databases.
- Knowledge of evaluation metrics and observability tools for monitoring agent performance.
Compensation
- At the time of posting, Rakuten expects the hourly rate for this role will be between $35 - $50 per hour. Individual compensation will vary based on job-related factors, including the skills, qualifications, and experience of the successful candidate as well as business need and geographic location.
Five Principles for Success
Our worldwide practices describe specific behaviors that make Rakuten unique and united across the world. We expect Rakuten employees to model these 5 Shugi Principles of Success.
- Always improve, Always Advance - Only be satisfied with complete success - Kaizen
- Passionately Professional - Take an uncompromising approach to your work and be determined to be the best
- Hypothesize - Practice - Validate – Shikumika - Use the Rakuten Cycle to succeed in unknown territory
- Maximize Customer Satisfaction - The greatest satisfaction for our teams is seeing their customers smile
- Speed!! Speed!! Speed!! - Always be conscious of time - take charge, set clear goals, and engage your team
Rakuten provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. Rakuten considers applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetic information, protected veteran status, sexual orientation, gender, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws.
Job Description:
Rakuten International is a division of Rakuten Group, Inc., a Japanese global technology leader in services that empower individuals, communities, businesses and society. Headquartered in San Mateo, California with more than 4,000 employees worldwide, the Rakuten International business portfolio includes market leaders in e-commerce, digital marketing, advertising, communications and entertainment. We create products and services that provide exceptional value by aligning members and the businesses that want to engage them in a shared community.
Rakuten Advertising provides advertising technology and consumer insights to the world’s leading brands and retailers. Working with agencies and brands around the world, Rakuten Advertising unites technology, client strategy and consumer insights to deliver advertising experiences that drive increased brand awareness and marketing performance. With access to Rakuten’s diverse media properties and audiences, combined with an award-winning performance network and proprietary consumer research, Rakuten Advertising creates the right conditions to reach new customers and sustain long-lasting loyalty.
Job Summary:
Rakuten Advertising is seeking a highly skilled AI Engineer Intern to join our AI Center of Excellence. This role is designed for an advanced builder with significant practical experience in developing and deploying multi-agent systems.
As an intern, you will not simply be observing; you will be an active contributor to our engineering teams, assisting in the design and implementation of production-grade AI solutions. You will focus on orchestrating complex agentic workflows that drive intelligent automation across our global advertising platform. This is a unique opportunity to apply your expertise in Large Language Models (LLMs) and agent frameworks to solve enterprise-scale challenges.
The Intern Experience: At Rakuten, we pride ourselves on giving interns a genuine, immersive experience that has a direct impact on company objectives. You will do meaningful work, and with us, you'll be a true member of the team. We are also invested in your growth as an individual and professional. That's why you can expect curated events such as professional development workshops, interactions with Rakuten leadership, and relationship building opportunities with other interns and professionals at the company. You can visit our company website and our Muse profile, to learn more about Rakuten's culture and values, as well as hear from previous interns.
Key Responsibilities:
- Develop Multi-Agent Architectures: Collaborate with senior engineers to design and implement systems where multiple AI agents coordinate to execute complex workflows.
- Engineer Robust Frameworks: Build and refine agent communication patterns, memory management systems, and tool-usage protocols to ensure reliability and scalability.
- System Integration: Integrate LLMs with external APIs, databases, and existing enterprise infrastructure to create seamless automation loops.
- Reliability & Scaling: Assist in creating orchestration layers that manage failure modes gracefully and ensure consistent performance in a production environment.
- Innovation & Best Practices: Contribute to internal codebases and help establish engineering standards for agentic development within the organization.
Minimum Qualifications:
- Currently pursuing a Master’s degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related technical field.
- Proven Experience: Demonstrated history of building multi-agent systems (via internships, research, or significant personal projects).
- Technical Proficiency: Strong programming skills in Python with an emphasis on writing clean, maintainable, production-quality code.
- Framework Knowledge: Hands-on experience with agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen, Semantic Kernel, or custom-built solutions).
- LLM Expertise: Deep understanding of Large Language Model capabilities, context management, and advanced prompting strategies.
Preferred Qualifications:
- Active contributions to open-source AI or agent-based repositories.
- Familiarity with asynchronous programming, message queues, and distributed systems concepts.
- Experience implementing Retrieval-Augmented Generation (RAG) architectures and utilizing vector databases.
- Knowledge of evaluation metrics and observability tools for monitoring agent performance.
Compensation
- At the time of posting, Rakuten expects the hourly rate for this role will be between $35 - $50 per hour. Individual compensation will vary based on job-related factors, including the skills, qualifications, and experience of the successful candidate as well as business need and geographic location.
Five Principles for Success
Our worldwide practices describe specific behaviors that make Rakuten unique and united across the world. We expect Rakuten employees to model these 5 Shugi Principles of Success.
- Always improve, Always Advance - Only be satisfied with complete success - Kaizen
- Passionately Professional - Take an uncompromising approach to your work and be determined to be the best
- Hypothesize - Practice - Validate – Shikumika - Use the Rakuten Cycle to succeed in unknown territory
- Maximize Customer Satisfaction - The greatest satisfaction for our teams is seeing their customers smile
- Speed!! Speed!! Speed!! - Always be conscious of time - take charge, set clear goals, and engage your team
Rakuten provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. Rakuten considers applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetic information, protected veteran status, sexual orientation, gender, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws.
See all 149+ J-1 Visa AI Engineer Jobs
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Get Access To All JobsTips for Finding J-1 Visa Sponsorship as an AI Engineer
Match your J-1 category before applying
Current students pursuing an AI engineering internship fall under the Intern category, while post-degree professionals with at least one year of experience qualify as Trainees. Applying under the wrong category delays your DS-2019 and can disqualify an otherwise strong offer.
Document your AI specialization for the training plan
Your designated sponsor requires a detailed Training Plan (Form DS-7002) outlining the skills you will develop. Specify AI subfields - machine learning pipelines, model deployment, or MLOps - so the plan reflects genuine educational objectives, not routine production work.
Verify host employers can support J-1 compliance
Ask prospective employers whether they have hosted J-1 visa exchange visitors before and whether they can designate a supervisor to sign the DS-7002. Early-stage startups often lack the HR infrastructure that designated sponsors like CIEE or Cultural Vistas require from host sites.
Search Migrate Mate to find J-1-aligned AI roles
Use Migrate Mate to identify U.S. employers actively hiring AI Engineers with visa sponsorship. Filtering by sponsorship type helps you avoid wasting applications on companies that only file H-1B visa petitions and have no experience hosting J-1 exchange visitors.
Confirm the two-year home residency requirement early
Research Scholar and Trainee categories may carry a two-year home residency requirement if your home country funded your education or if you come from a skills-shortage field. USCIS and the State Department both require this to be resolved before you can change to most other visa types.
Align your program end date with your project timeline
J-1 Trainee status lasts up to 18 months for most fields; Research Scholar status can extend to five years. Negotiate your DS-2019 program dates with your designated sponsor before accepting an offer, so your authorization covers the full AI project scope.
AI Engineer J-1 Visa: Frequently Asked Questions
Which J-1 program category fits an AI Engineer role?
It depends on your career stage. Current students doing an AI engineering placement typically use the Intern category. Post-degree professionals with at least one year of relevant experience qualify under the Trainee category. Researchers conducting AI or machine learning research at a university or nonprofit institution may qualify as Research Scholars. Each category has different maximum program lengths and training plan requirements.
Who actually sponsors the J-1 visa for an AI Engineer - the employer or a third party?
The J-1 visa sponsor is a U.S. Department of State-designated organization - such as IIE, Cultural Vistas, CIEE, or a university international office - not the hiring employer. The employer is the host site. The designated sponsor issues your DS-2019, monitors your program compliance, and signs your training plan. You must secure both a willing host employer and a designated sponsor to proceed.
Can an AI Engineer on a J-1 visa work on proprietary commercial products?
J-1 exchange programs must have an educational or training objective, not purely commercial output. Your Training Plan needs to show skills transfer and learning goals. AI engineering roles that are entirely focused on revenue-generating product features may not satisfy the program's exchange purpose. Positions at research labs, university-affiliated institutes, or R&D divisions of companies tend to align more clearly with J-1 program requirements.
Does the two-year home residency requirement apply to AI Engineers?
It may. The two-year home residency requirement applies if your J-1 program was financed by your home government, if your home country appears on the Exchange Visitor Skills List maintained by the State Department, or if your category is subject to the requirement by statute. AI engineering is classified in STEM fields, and several countries list related occupations on the Skills List. Check your DS-2019 and confirm with your designated sponsor before planning any status change.
How do I find U.S. employers willing to host a J-1 AI Engineer?
Use Migrate Mate to search for AI Engineer roles at employers with J-1 sponsorship history. Many tech companies sponsor H-1B visas but have never hosted a J-1 exchange visitor, which means their HR teams may not know how to coordinate with a designated sponsor. Targeting employers already familiar with J-1 hosting requirements saves significant time during the offer and DS-2019 issuance process.