STEM OPT AI Software Developer Jobs
AI Software Developer roles in machine learning, NLP, and applied AI fall squarely within STEM OPT eligibility. Your STEM degree qualifies you for a 24-month OPT extension beyond the initial 12 months, giving you up to 36 months of work authorization. Employers must be enrolled in E-Verify to hire you under STEM OPT.
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Get Access To All JobsJob Title: Junior AI Engineer
Location: Remote
Job Type: Full-Time
Experience: 0–3 Years
Employment Type: Full-Time
Work Authorization: Must be authorized to work in the United States.
Job Summary
We are seeking a motivated and enthusiastic Junior AI Engineer to join our engineering team. The ideal candidate will assist in designing, developing, testing, and implementing Artificial Intelligence and Machine Learning solutions. This position is ideal for recent graduates and early-career professionals with a strong foundation in Python programming, Machine Learning, data analysis, and AI technologies. The candidate will have opportunities to work on real-world AI applications and collaborate with experienced engineers.
Key Responsibilities
- Assist in developing and implementing AI and Machine Learning models.
- Design, build, test, and maintain AI-powered applications.
- Develop Python-based solutions for data processing and automation.
- Collect, clean, preprocess, and analyze structured and unstructured datasets.
- Support the development of Generative AI applications and LLM-based solutions.
- Implement machine learning algorithms for classification, regression, and prediction.
- Perform model training, testing, validation, and performance evaluation.
- Work with APIs to integrate AI models into applications.
- Collaborate with software developers, data scientists, and cross-functional teams.
- Troubleshoot technical issues and optimize model performance.
- Maintain technical documentation and contribute to project development.
Required Qualifications
- Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.
- 0–3 years of experience in AI, Machine Learning, or software development.
- Strong knowledge of Python programming.
- Understanding of Machine Learning algorithms and concepts.
- Familiarity with NumPy, Pandas, and Scikit-learn.
- Basic knowledge of TensorFlow or PyTorch.
- Understanding of SQL and relational databases.
- Knowledge of data structures and algorithms.
- Strong analytical and problem-solving skills.
- Good written and verbal communication skills.
Preferred Qualifications
- Knowledge of Generative AI, Large Language Models (LLMs), and Prompt Engineering.
- Familiarity with OpenAI APIs or other AI APIs.
- Basic understanding of Natural Language Processing (NLP).
- Knowledge of Deep Learning and Neural Networks.
- Familiarity with REST APIs and microservices.
- Exposure to AWS, Microsoft Azure, or Google Cloud Platform.
- Experience using Git, GitHub, Docker, and Jupyter Notebook.
- Internship experience or academic projects in AI/ML is a plus.
Technical Skills
- Programming Languages: Python
- AI/ML: Machine Learning, Deep Learning, Generative AI
- Frameworks: TensorFlow, PyTorch, Scikit-learn
- Libraries: NumPy, Pandas, Matplotlib
- Database: SQL, MySQL, PostgreSQL
- AI Technologies: NLP, LLMs, Prompt Engineering
- Tools: Git, GitHub, Jupyter Notebook, Docker
- Cloud Platforms: AWS, Azure, GCP
Education
Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or an equivalent technical discipline.
What We Offer
- Opportunity to work on real-world AI and Machine Learning projects.
- Hands-on experience with emerging AI technologies.
- Collaborative and innovative work environment.
- Opportunities for professional development and career growth.
- Exposure to Generative AI and cloud-based technologies.
Job Title: Junior AI Engineer
Location: Remote
Job Type: Full-Time
Experience: 0–3 Years
Employment Type: Full-Time
Work Authorization: Must be authorized to work in the United States.
Job Summary
We are seeking a motivated and enthusiastic Junior AI Engineer to join our engineering team. The ideal candidate will assist in designing, developing, testing, and implementing Artificial Intelligence and Machine Learning solutions. This position is ideal for recent graduates and early-career professionals with a strong foundation in Python programming, Machine Learning, data analysis, and AI technologies. The candidate will have opportunities to work on real-world AI applications and collaborate with experienced engineers.
Key Responsibilities
- Assist in developing and implementing AI and Machine Learning models.
- Design, build, test, and maintain AI-powered applications.
- Develop Python-based solutions for data processing and automation.
- Collect, clean, preprocess, and analyze structured and unstructured datasets.
- Support the development of Generative AI applications and LLM-based solutions.
- Implement machine learning algorithms for classification, regression, and prediction.
- Perform model training, testing, validation, and performance evaluation.
- Work with APIs to integrate AI models into applications.
- Collaborate with software developers, data scientists, and cross-functional teams.
- Troubleshoot technical issues and optimize model performance.
- Maintain technical documentation and contribute to project development.
Required Qualifications
- Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.
- 0–3 years of experience in AI, Machine Learning, or software development.
- Strong knowledge of Python programming.
- Understanding of Machine Learning algorithms and concepts.
- Familiarity with NumPy, Pandas, and Scikit-learn.
- Basic knowledge of TensorFlow or PyTorch.
- Understanding of SQL and relational databases.
- Knowledge of data structures and algorithms.
- Strong analytical and problem-solving skills.
- Good written and verbal communication skills.
Preferred Qualifications
- Knowledge of Generative AI, Large Language Models (LLMs), and Prompt Engineering.
- Familiarity with OpenAI APIs or other AI APIs.
- Basic understanding of Natural Language Processing (NLP).
- Knowledge of Deep Learning and Neural Networks.
- Familiarity with REST APIs and microservices.
- Exposure to AWS, Microsoft Azure, or Google Cloud Platform.
- Experience using Git, GitHub, Docker, and Jupyter Notebook.
- Internship experience or academic projects in AI/ML is a plus.
Technical Skills
- Programming Languages: Python
- AI/ML: Machine Learning, Deep Learning, Generative AI
- Frameworks: TensorFlow, PyTorch, Scikit-learn
- Libraries: NumPy, Pandas, Matplotlib
- Database: SQL, MySQL, PostgreSQL
- AI Technologies: NLP, LLMs, Prompt Engineering
- Tools: Git, GitHub, Jupyter Notebook, Docker
- Cloud Platforms: AWS, Azure, GCP
Education
Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or an equivalent technical discipline.
What We Offer
- Opportunity to work on real-world AI and Machine Learning projects.
- Hands-on experience with emerging AI technologies.
- Collaborative and innovative work environment.
- Opportunities for professional development and career growth.
- Exposure to Generative AI and cloud-based technologies.
See all 209+ STEM OPT AI Software Developer Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization as an AI Software Developer
Verify your CIP code matches AI roles
Check that your degree's Classification of Instructional Programs code falls under an approved STEM field before applying. Computer science, computer engineering, and data science CIP codes are typically eligible. Your DSO can confirm your specific code against the STEM OPT designated degree program list.
Confirm E-Verify enrollment before accepting offers
Ask hiring managers directly whether the company is currently enrolled in E-Verify, not just registered. Some startups let enrollment lapse. You can also search the E-Verify employer database yourself to verify active participation status before you invest time in their interview process.
Tailor your resume to AI job requirements
AI Software Developer postings frequently list specific frameworks like PyTorch, TensorFlow, or LangChain as hard requirements. Align your resume's skills section to the exact tools named in each job description so applicant tracking systems don't filter you out before a recruiter reviews your application.
Target employers with active AI LCA filings
Use Migrate Mate to filter for employers with verified Labor Condition Application filings in AI and software development roles. LCA history signals that the company understands STEM OPT compliance and has filed the required DOL documentation for international workers before.
File your I-983 training plan before your start date
Your employer must complete and sign the I-983 before you begin work on the STEM OPT extension. AI roles should map specific learning objectives, like model deployment or system architecture skills, to your degree field. A vague training plan increases the risk of a SEVIS compliance issue later.
Understand cap-gap protection during H-1B transition
If your employer files an H-1B visa petition before your STEM OPT expires and you're selected, cap-gap rules extend your work authorization through September 30. Make sure your employer files by the April 1 deadline so there's no gap between your STEM OPT end date and H-1B start.
Frequently Asked Questions
Does my degree qualify me for STEM OPT as an AI Software Developer?
Your degree qualifies if it appears on the STEM Designated Degree Program List maintained by the Department of Homeland Security. Degrees in computer science, computer engineering, electrical engineering, mathematics, and data science typically qualify. The classification is based on your degree's CIP code, not your job title. Your DSO can confirm eligibility using your official transcript and I-20.
Does my employer need to be enrolled in E-Verify to hire me on STEM OPT?
Yes. E-Verify enrollment is a hard requirement for STEM OPT, not optional. The employer must be actively enrolled at the time you begin work, not just registered in the past. You can verify a company's current enrollment status through the E-Verify employer search tool. If an employer isn't enrolled, you cannot work there on your STEM OPT extension regardless of the job offer.
What goes into the I-983 training plan for an AI Software Developer role?
The I-983 must connect your specific work activities to the STEM field your degree covers. For an AI Software Developer, this means documenting learning objectives tied to tasks like designing machine learning pipelines, building inference systems, or applying statistical modeling. Generic job descriptions don't satisfy USCIS requirements. Your employer signs the form, and your DSO must receive and validate it before your extension begins.
How does cap-gap work if my STEM OPT expires during H-1B processing?
If your employer submits a timely H-1B cap-subject petition before April 1 and you're selected in the lottery, cap-gap protection automatically extends your work authorization through September 30 of that year. This covers the gap between your STEM OPT expiration and the October 1 H-1B start date. Your employer must file on time for this protection to apply, so confirm their filing timeline well in advance.
Where can I find AI Software Developer jobs where employers already understand STEM OPT?
Migrate Mate filters AI Software Developer roles by employers with verified DOL Labor Condition Application filing history, which indicates they've hired international workers and understand the compliance requirements. Targeting these employers reduces the back-and-forth of explaining STEM OPT mechanics to HR teams unfamiliar with E-Verify enrollment or I-983 obligations.