STEM OPT AI Developer Jobs
AI Developer roles in machine learning, natural language processing, and computer vision fall squarely within STEM OPT eligibility for graduates with degrees in computer science, data science, or related STEM fields. Your 24-month extension gives you up to 36 months total to build U.S. experience, provided your employer is enrolled in E-Verify.
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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 STEM OPT Authorization as an AI Developer
Verify your CIP code before applying
Your STEM OPT eligibility depends on your degree's Classification of Instructional Programs code. Check your I-20 to confirm it maps to a STEM-designated field like computer science (11.0701) or data science (30.7001) before your DSO files the extension.
Confirm E-Verify enrollment before accepting offers
Before signing anything, ask your recruiter for the company's E-Verify Employer ID or look them up in the E-Verify employer search. An AI role at a company not enrolled in E-Verify disqualifies you from the 24-month STEM OPT extension entirely.
Target AI teams at E-Verify enrolled employers on Migrate Mate
Search AI Developer roles on Migrate Mate, which filters for employers with verified E-Verify enrollment and STEM OPT hiring history. This saves you from applying to roles where the employer can't legally support your extension.
Build a portfolio that speaks to LLM and production AI work
Hiring managers for AI Developer roles screen for applied experience, not just coursework. Projects involving fine-tuning large language models, deploying ML pipelines, or building retrieval-augmented generation systems directly address what STEM-heavy employers are evaluating during technical interviews.
File your I-983 training plan within the first five days
USCIS requires your employer to sign a Form I-983 establishing the formal training relationship. Get this completed at offer acceptance, not after your start date. Your DSO needs it before recommending the STEM OPT extension, and delays can create a gap in your work authorization.
Use the OFLC Wage Search to benchmark your offer against prevailing wages
AI Developer roles span multiple Standard Occupational Classification codes, including 15-2051 for data scientists and 15-1252 for software developers. Check the OFLC Wage Search by SOC code and your work location to verify your offer meets the DOL prevailing wage level before you negotiate.
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Find AI Developer JobsFrequently Asked Questions
Does my degree qualify me for the STEM OPT extension as an AI Developer?
Your degree qualifies if it carries a STEM-designated CIP code. Computer science, electrical engineering, data science, applied mathematics, and statistics degrees typically qualify. Check your I-20 for the CIP code and cross-reference it against the DHS STEM Designated Degree Program List. Your DSO can confirm eligibility before you apply for the extension.
What E-Verify requirement applies to my STEM OPT employer?
Your employer must be enrolled in E-Verify at the specific worksite where you'll be working, not just at company headquarters. This is a hard USCIS requirement for STEM OPT extensions. Before accepting an offer, ask the recruiter or HR team to confirm E-Verify enrollment and provide the Employer ID. You can verify enrollment through the E-Verify employer search tool.
What goes into the I-983 training plan for an AI Developer role?
The Form I-983 must describe how your day-to-day AI work relates directly to your STEM degree. For an AI Developer, this typically includes learning goals tied to your degree field, specific technical competencies you'll develop such as model development or ML systems design, and how your employer will supervise and evaluate your progress. Both you and your employer must sign it.
How does cap-gap protection work if my employer files an H-1B petition while I'm on STEM OPT?
If your STEM OPT expires between April 1 and October 1 and your employer filed a timely H-1B petition on your behalf, cap-gap protection automatically extends your work authorization through September 30. You can continue working as an AI Developer during this period without interruption. USCIS issues cap-gap eligibility based on the I-797 receipt notice from the H-1B filing.
Where can I find AI Developer jobs that are confirmed STEM OPT compatible?
Migrate Mate lists AI Developer roles filtered for employers with E-Verify enrollment and documented STEM OPT hiring history. This lets you focus your applications on companies that already understand the extension requirements and have a track record of onboarding students in your situation, rather than educating employers about STEM OPT from scratch during the interview process.
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