J-1 Visa Developer Evangelist Jobs
Developer Evangelist roles in the U.S. typically qualify for J-1 sponsorship under the Trainee or Specialist program category, connecting you with a State Department-designated sponsor organization that issues your DS-2019. Host employers range from cloud platforms to dev-tools startups actively building international technical communities.
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Get Access To All JobsYOUR OPPORTUNITY
We have an exciting opportunity for an AI Developer Intern at our Merriam, KS office. In this hands-on, project-based role, you will be embedded with one of our business functions to co-develop an AI-assisted application that empowers the team's day-to-day work, including departments like Human Resources, Sales, Marketing, Innovation, Supply Chain, Operations and Finance. You will use modern AI-assisted development tooling (VS Code with frontier models such as Claude Opus and GPT) to design, build, deploy, and support a focused application end-to-end over a 8-10-week engagement.
About us
At Seaboard Foods, we create the most sought-after pork. A top U.S. pork producer/processor and leading exporter to 30+ countries, we are committed to bringing excellence to the table, seeking a better way to produce wholesome pork and connect every step between our farms and family tables. More than 5,400 employees in five states work on our farms, feed mills, and processing plant to produce Prairie Fresh® pork, ensuring the well-being of our animals, the environment, our employees, and the communities we call home. We are a Fortune 500 employer, recently nominated by the Business Journal as one of the “Best Places to Work”, representing our dynamic culture, where our employees can contribute and understand why they matter.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Partner with the sponsoring Seaboard department to understand a business problem, define scope, and translate requirements into a working application.
- Design, build, test, deploy, and support a project-scoped application using AI-assisted development workflows in VS Code with frontier LLMs (e.g., Claude Opus, GPT).
- Apply prompt engineering, retrieval, and (where appropriate) contained/private LLM patterns to deliver solutions that are accurate, secure, and maintainable.
- Develop in Python and other relevant CS languages; integrate with internal data sources, APIs, and lightweight front-end interfaces as needed.
- Document the solution (architecture, setup, usage, and handoff notes) so that the sponsoring department and IT can support it after the engagement.
- Demonstrate progress through regular check-ins, demos, and a final presentation to the project mentor and stakeholders.
- Provide and receive feedback in line with APEX Program requirements.
- Operate within Seaboard's data, security, and acceptable-use guidelines for AI tools.
CORE COMPETENCIES FOR SUCCESS IN ALL ROLES: instills trust, communicates effectively, action-oriented, ensures accountability, and drives results.
QUALIFICATION REQUIREMENTS
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required or preferred. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
Required:
- Must be enrolled in an accredited university, as a Junior or Senior standing in Computer Science, Data Science, or a closely related field (dual majors welcome).
- Completion coursework in AI, Computer Science, Deep Learning, and/or Large Language Models.
- Working proficiency in Python and at least one other core programming language.
- Familiarity with version control (Git) and modern IDE workflows, including VS Code.
- Exposure to applied AI / LLM projects (coursework or personal projects acceptable).
- Strong written and verbal communication skills; able to explain technical concepts to non-technical stakeholders.
Preferred:
- Prior internship or applied project experience in industry or retail problem-solving contexts.
- Experience with one or more of: data analytics, algorithm development, spatial/geospatial work, contained or private LLM builds, RAG pipelines, lightweight web frameworks (FastAPI, Flask, Streamlit), or cloud services (Azure, AWS, GCP).
- Comfort working with AI-assisted coding tools (GitHub Copilot, Claude/Opus, GPT) as a development partner.
SCHEDULE
- 8-10 Week Internship Commitment with working hours within regular business hours, Monday-Friday 8:00AM-5:00PM in office in Mission, KS
WORK ENVIRONMENT
The physical and work demands listed here represent those an employee should possess to successfully perform the job's essential functions. Reasonable accommodation may be made to enable individuals with disabilities to perform essential functions.
- Primarily an office environment with some need to work in the field.
- The hours and days of work are established by departmental needs and at the discretion of management.
Seaboard Foods is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, gender identity, protected veterans' status, status as a disabled individual, or any other status protected by law.
YOUR OPPORTUNITY
We have an exciting opportunity for an AI Developer Intern at our Merriam, KS office. In this hands-on, project-based role, you will be embedded with one of our business functions to co-develop an AI-assisted application that empowers the team's day-to-day work, including departments like Human Resources, Sales, Marketing, Innovation, Supply Chain, Operations and Finance. You will use modern AI-assisted development tooling (VS Code with frontier models such as Claude Opus and GPT) to design, build, deploy, and support a focused application end-to-end over a 8-10-week engagement.
About us
At Seaboard Foods, we create the most sought-after pork. A top U.S. pork producer/processor and leading exporter to 30+ countries, we are committed to bringing excellence to the table, seeking a better way to produce wholesome pork and connect every step between our farms and family tables. More than 5,400 employees in five states work on our farms, feed mills, and processing plant to produce Prairie Fresh® pork, ensuring the well-being of our animals, the environment, our employees, and the communities we call home. We are a Fortune 500 employer, recently nominated by the Business Journal as one of the “Best Places to Work”, representing our dynamic culture, where our employees can contribute and understand why they matter.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Partner with the sponsoring Seaboard department to understand a business problem, define scope, and translate requirements into a working application.
- Design, build, test, deploy, and support a project-scoped application using AI-assisted development workflows in VS Code with frontier LLMs (e.g., Claude Opus, GPT).
- Apply prompt engineering, retrieval, and (where appropriate) contained/private LLM patterns to deliver solutions that are accurate, secure, and maintainable.
- Develop in Python and other relevant CS languages; integrate with internal data sources, APIs, and lightweight front-end interfaces as needed.
- Document the solution (architecture, setup, usage, and handoff notes) so that the sponsoring department and IT can support it after the engagement.
- Demonstrate progress through regular check-ins, demos, and a final presentation to the project mentor and stakeholders.
- Provide and receive feedback in line with APEX Program requirements.
- Operate within Seaboard's data, security, and acceptable-use guidelines for AI tools.
CORE COMPETENCIES FOR SUCCESS IN ALL ROLES: instills trust, communicates effectively, action-oriented, ensures accountability, and drives results.
QUALIFICATION REQUIREMENTS
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required or preferred. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
Required:
- Must be enrolled in an accredited university, as a Junior or Senior standing in Computer Science, Data Science, or a closely related field (dual majors welcome).
- Completion coursework in AI, Computer Science, Deep Learning, and/or Large Language Models.
- Working proficiency in Python and at least one other core programming language.
- Familiarity with version control (Git) and modern IDE workflows, including VS Code.
- Exposure to applied AI / LLM projects (coursework or personal projects acceptable).
- Strong written and verbal communication skills; able to explain technical concepts to non-technical stakeholders.
Preferred:
- Prior internship or applied project experience in industry or retail problem-solving contexts.
- Experience with one or more of: data analytics, algorithm development, spatial/geospatial work, contained or private LLM builds, RAG pipelines, lightweight web frameworks (FastAPI, Flask, Streamlit), or cloud services (Azure, AWS, GCP).
- Comfort working with AI-assisted coding tools (GitHub Copilot, Claude/Opus, GPT) as a development partner.
SCHEDULE
- 8-10 Week Internship Commitment with working hours within regular business hours, Monday-Friday 8:00AM-5:00PM in office in Mission, KS
WORK ENVIRONMENT
The physical and work demands listed here represent those an employee should possess to successfully perform the job's essential functions. Reasonable accommodation may be made to enable individuals with disabilities to perform essential functions.
- Primarily an office environment with some need to work in the field.
- The hours and days of work are established by departmental needs and at the discretion of management.
Seaboard Foods is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, gender identity, protected veterans' status, status as a disabled individual, or any other status protected by law.
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Get Access To All JobsTips for Finding J-1 Visa Sponsorship in Developer Evangelist
Document your technical advocacy portfolio early
Designated sponsors evaluate Trainee and Specialist applicants on demonstrated field experience. Compile conference talks, published tutorials, open-source contributions, and community metrics before approaching any host employer or sponsor organization.
Confirm the host employer's prior J-1 history
Not every tech company has hosted J-1 exchange visitors before. Ask recruiters directly whether their legal team has coordinated with a designated sponsor. Prior experience shortens onboarding for your DS-2019 and training plan.
Search for J-1-aligned roles on Migrate Mate
Use Migrate Mate to filter Developer Evangelist and developer relations positions at U.S. employers with international hiring patterns. Identifying the right host employer is the step most candidates underestimate when pursuing J-1 sponsorship.
Distinguish Trainee from Specialist program fit
If you graduated within the last 12 months, you'll apply under the Trainee category. Professionals with substantial field experience and no recent degree may qualify as Specialists. The category affects which designated sponsors can issue your DS-2019.
Map your training plan to O*NET occupation codes
Designated sponsors require a detailed Individual Training Plan. Aligning your Developer Evangelist objectives to the relevant O*NET occupational profile strengthens the plan and reduces the chance of sponsor rejection during DS-2019 review.
Clarify the two-year home residency rule upfront
Some J-1 Specialist and Trainee placements carry a two-year home-country residency requirement, enforced on your DS-2019. Ask your designated sponsor to confirm your 212(e) status before accepting an offer, since this affects any future H-1B or green card plans.
Developer Evangelist jobs are hiring across the US. Find yours.
Find Developer Evangelist JobsDeveloper Evangelist J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a Developer Evangelist role?
Most Developer Evangelist candidates qualify under the Trainee category if they've graduated within the past 12 months, or the Specialist category if they bring significant professional experience in developer relations, technical advocacy, or software engineering. A State Department-designated sponsor organization, not the hiring employer, determines which category applies and issues your DS-2019 accordingly.
Who actually sponsors my J-1 visa as a Developer Evangelist?
Your J-1 visa sponsor is a U.S. Department of State-designated organization such as CIEE, Cultural Vistas, or AIPT. These organizations issue the DS-2019 and monitor program compliance. The tech company or startup hiring you is the host employer, not the visa sponsor. The distinction matters because the designated sponsor, not the employer, approves your training plan and bears program responsibility.
How do I find Developer Evangelist host employers open to J-1 exchange visitors?
Start with Migrate Mate, which surfaces U.S. Developer Evangelist and developer relations roles at employers with international hiring patterns. Many host employers don't advertise J-1 openness explicitly, so asking recruiters directly about prior J-1 experience is often more reliable than filtering by visa type alone.
Does a Developer Evangelist J-1 placement trigger the two-year home residency requirement?
It depends on your country's bilateral agreements with the U.S. and whether your program receives government funding. Your designated sponsor will note any 212(e) obligation on your DS-2019. If the requirement applies, you must return home for two years before changing to H-1B or permanent resident status, so confirming this before accepting an offer is essential.
What does an Individual Training Plan need to include for a Developer Evangelist role?
Your designated sponsor requires a detailed Individual Training Plan covering the specific skills you'll develop, phase-by-phase objectives, and measurable outcomes. For Developer Evangelist placements, this typically includes technical content creation, community engagement, API or SDK education, and public speaking. Tying objectives to the relevant O*NET occupational profile strengthens the plan during sponsor review.
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