Genai Engineer Jobs for OPT Students
GenAI Engineer jobs are among the most actively sponsored roles for F-1 OPT students right now, with demand concentrated in tech, fintech, and enterprise software. Your 12-month OPT window (or 24-month STEM extension if your degree is in CS, data science, or a related field) gives you real runway to land and grow in this role.
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Get Access To All JobsABOUT THE ROLE:
Join Skechers USA as a Full Stack & GenAI Engineer Intern and gain hands-on experience building modern software solutions that leverage both full stack development and emerging GenAI technologies.
This internship is designed as a learning-first opportunity for students who are passionate about software engineering, curious about AI, and eager to grow their skills in a real-world enterprise environment. You will work alongside experienced engineers, contribute to meaningful projects, and learn how cloud-native applications and AI-powered solutions are developed at scale.
At Skechers, we value curiosity, innovation, and continuous learning. If you’re excited about building applications, experimenting with GenAI, and learning how technology drives business outcomes, we’d love to hear from you. Step into the future with Skechers USA!
WHAT YOU'LL DO:
- Assist in the development of full stack applications, including frontend user interfaces and backend services.
- Support the creation and enhancement of REST APIs and backend services under the guidance of senior engineers.
- Contribute to GenAI use cases, such as chatbots, internal tools, or AI-assisted workflows.
- Assist with prompt engineering, testing, and experimentation with Large Language Models (LLMs).
- Learn and apply concepts such as retrieval-augmented generation (RAG), vector search, and AI-driven workflows.
- Participate in research and exploration of emerging AI technologies, tools, and frameworks.
- Collaborate with cross-functional teams including engineering, QA, UX, and product stakeholders.
- Write clean, maintainable code and assist with unit testing and basic validation.
- Help document solutions, learnings, and technical designs.
- Participate in Agile ceremonies such as stand-ups, sprint planning, and retrospectives.
- Assist in preparing demos, presentations, or reports to share progress and learnings.
WHAT YOU'LL BRING:
- Strong interest and exposure in Full Stack Development and GenAI technologies.
- Passion for learning new technologies and experimenting with innovative ideas.
- Curiosity-driven mindset with a willingness to ask questions and explore solutions.
- Strong verbal and written communication skills.
- Ability to work collaboratively in a team environment.
- Demonstrated interest in being business-value driven, with the ability to understand a business problem and explore how AI-enabled solutions can improve efficiency, automation, or support business growth.
- Ability to articulate technical ideas and AI-driven solutions in simple, clear business terms, focusing on the value and impact rather than just technology.
REQUIREMENTS
- Currently pursuing a degree in Computer Science, Software Engineering, Computer Engineering, or a related field.
Exposure or Experience (Academic or Project-Based) with:
- Programming Languages: JavaScript, Python (preferred), Java (nice to have)
- Frontend Technologies: React, Vue, or similar frameworks (basic knowledge is sufficient)
- Backend / APIs: Node.js or Python-based services, REST APIs
- AI / GenAI Concepts: LLMs, prompt engineering, AI workflows (hands-on experience not required, curiosity is key)
- Cloud & Dev Tools: AWS (e.g., Lambda, S3, EC2 – exposure preferred), Git/GitHub
- Databases: SQL and/or NoSQL fundamentals
The pay range for this role is $25/hr.
About Skechers
Skechers, a global Fortune 500® company, develops and markets a diverse range of lifestyle and performance footwear, apparel, and accessories. Serving over 180 countries and territories, Skechers connects customers to products through department and specialty stores, e-commerce and digital stores, and through our more than 5,300 Skechers retail locations.
Equal Employment Opportunity
Skechers is committed to providing a safe, inclusive, and respectful work environment. Skechers provides equal employment opportunities for all employees and applicants for employment without regard race, color, religion, gender, gender identification and expression, national origin, marital status, age, disability, genetic information, military status, sexual orientation, or any other protected characteristic established by local, state or federal law.
Reasonable Accommodation
Applicants for employment who require a reasonable accommodation to apply for a job should request appropriate accommodation by emailing benefits@skechers.com.
To perform this job successfully, an individual must be able to perform each job responsibility satisfactorily. The skills, abilities and physical demands described are representative of those duties that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities, who are otherwise qualified for the job position, to perform the essential functions.
ABOUT THE ROLE:
Join Skechers USA as a Full Stack & GenAI Engineer Intern and gain hands-on experience building modern software solutions that leverage both full stack development and emerging GenAI technologies.
This internship is designed as a learning-first opportunity for students who are passionate about software engineering, curious about AI, and eager to grow their skills in a real-world enterprise environment. You will work alongside experienced engineers, contribute to meaningful projects, and learn how cloud-native applications and AI-powered solutions are developed at scale.
At Skechers, we value curiosity, innovation, and continuous learning. If you’re excited about building applications, experimenting with GenAI, and learning how technology drives business outcomes, we’d love to hear from you. Step into the future with Skechers USA!
WHAT YOU'LL DO:
- Assist in the development of full stack applications, including frontend user interfaces and backend services.
- Support the creation and enhancement of REST APIs and backend services under the guidance of senior engineers.
- Contribute to GenAI use cases, such as chatbots, internal tools, or AI-assisted workflows.
- Assist with prompt engineering, testing, and experimentation with Large Language Models (LLMs).
- Learn and apply concepts such as retrieval-augmented generation (RAG), vector search, and AI-driven workflows.
- Participate in research and exploration of emerging AI technologies, tools, and frameworks.
- Collaborate with cross-functional teams including engineering, QA, UX, and product stakeholders.
- Write clean, maintainable code and assist with unit testing and basic validation.
- Help document solutions, learnings, and technical designs.
- Participate in Agile ceremonies such as stand-ups, sprint planning, and retrospectives.
- Assist in preparing demos, presentations, or reports to share progress and learnings.
WHAT YOU'LL BRING:
- Strong interest and exposure in Full Stack Development and GenAI technologies.
- Passion for learning new technologies and experimenting with innovative ideas.
- Curiosity-driven mindset with a willingness to ask questions and explore solutions.
- Strong verbal and written communication skills.
- Ability to work collaboratively in a team environment.
- Demonstrated interest in being business-value driven, with the ability to understand a business problem and explore how AI-enabled solutions can improve efficiency, automation, or support business growth.
- Ability to articulate technical ideas and AI-driven solutions in simple, clear business terms, focusing on the value and impact rather than just technology.
REQUIREMENTS
- Currently pursuing a degree in Computer Science, Software Engineering, Computer Engineering, or a related field.
Exposure or Experience (Academic or Project-Based) with:
- Programming Languages: JavaScript, Python (preferred), Java (nice to have)
- Frontend Technologies: React, Vue, or similar frameworks (basic knowledge is sufficient)
- Backend / APIs: Node.js or Python-based services, REST APIs
- AI / GenAI Concepts: LLMs, prompt engineering, AI workflows (hands-on experience not required, curiosity is key)
- Cloud & Dev Tools: AWS (e.g., Lambda, S3, EC2 – exposure preferred), Git/GitHub
- Databases: SQL and/or NoSQL fundamentals
The pay range for this role is $25/hr.
About Skechers
Skechers, a global Fortune 500® company, develops and markets a diverse range of lifestyle and performance footwear, apparel, and accessories. Serving over 180 countries and territories, Skechers connects customers to products through department and specialty stores, e-commerce and digital stores, and through our more than 5,300 Skechers retail locations.
Equal Employment Opportunity
Skechers is committed to providing a safe, inclusive, and respectful work environment. Skechers provides equal employment opportunities for all employees and applicants for employment without regard race, color, religion, gender, gender identification and expression, national origin, marital status, age, disability, genetic information, military status, sexual orientation, or any other protected characteristic established by local, state or federal law.
Reasonable Accommodation
Applicants for employment who require a reasonable accommodation to apply for a job should request appropriate accommodation by emailing benefits@skechers.com.
To perform this job successfully, an individual must be able to perform each job responsibility satisfactorily. The skills, abilities and physical demands described are representative of those duties that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities, who are otherwise qualified for the job position, to perform the essential functions.
How to Get Visa Sponsorship as a Genai Engineer
Lead with your STEM OPT eligibility
GenAI roles almost always qualify for the 24-month STEM OPT extension. Make your degree field and graduation date visible on your resume so hiring managers know upfront you have a three-year authorization window, not just 12 months.
Anchor your resume to specific GenAI frameworks
List LangChain, LlamaIndex, OpenAI API, Hugging Face Transformers, and vector databases like Pinecone or Weaviate explicitly. Recruiters filter by these terms, and specificity signals hands-on experience rather than surface-level familiarity.
Highlight production experience, not just prototypes
Employers sponsoring OPT students want engineers who ship. If you've deployed a RAG pipeline, fine-tuned a model for a real use case, or integrated an LLM into a production system, describe the outcome and scale, not just the tools.
Apply before your OPT start date when possible
Many GenAI teams hire months in advance. Starting your job search before your OPT authorization begins gives employers time to process paperwork and onboard you without gaps, which reduces friction around your authorization status.
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Get Access To All JobsFrequently Asked Questions
Can I work as a GenAI Engineer on F-1 OPT?
Yes. GenAI Engineer roles qualify as practical training directly related to degrees in computer science, artificial intelligence, data science, and related STEM fields. If your degree falls under a STEM-designated CIP code, you're also eligible for the 24-month STEM OPT extension after your initial 12-month period, giving you up to three years of authorized work before needing H-1B sponsorship.
Do GenAI Engineer employers typically sponsor H-1B visas?
Many do, particularly mid-size and large technology companies, AI startups with institutional funding, and enterprise software firms building internal AI products. The demand for GenAI talent currently outpaces supply, which makes employers more willing to invest in sponsorship. Migrate Mate filters job listings by sponsorship history, so you can focus on employers with a verified track record rather than guessing.
Does a GenAI Engineer role qualify for the STEM OPT extension?
It depends on your degree, not the job title. If your bachelor's or master's degree is in a STEM-designated field such as computer science, electrical engineering, data science, or applied mathematics, and your employer is enrolled in E-Verify, you qualify to apply for the 24-month extension. The GenAI Engineer role itself typically satisfies the practical training requirement because it applies STEM knowledge directly.
What degree backgrounds do employers accept for GenAI Engineer roles on OPT?
Most employers hiring GenAI Engineers expect a degree in computer science, machine learning, artificial intelligence, data science, or a closely related engineering field. Some roles accept degrees in mathematics or statistics when paired with strong applied experience. A degree in an unrelated field makes it harder to justify OPT authorization for this specific job title, and STEM extension eligibility would not apply.
How do I find GenAI Engineer jobs that are open to OPT candidates?
Standard job boards don't filter by sponsorship willingness or OPT-friendliness, which means you spend time on roles that won't move forward. Migrate Mate is built specifically for F-1 students and OPT holders, with listings from employers who are open to international candidates. Searching there lets you focus your effort on companies where your authorization status isn't an automatic disqualifier.
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