STEM OPT Full Stack Engineer Jobs
Full Stack Engineer roles qualify for STEM OPT because they sit under CIP codes tied to computer science, software engineering, and information technology degrees. Your 24-month STEM OPT extension lets you work for any employer enrolled in E-Verify, giving you up to 36 months total to build your U.S. engineering career.
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Get Access To All JobsINTRODUCTION
Accelerate the possible by joining a winning Amcor team that’s transforming the packaging industry and improving lives around the world. At Amcor, we unpack possibility through our innovative and responsible packaging to provide solutions that benefit our customers, our people and our planet. More than 10,000 consumers worldwide encounter our products every second and rely on us for safe access to food, medicine and other goods. We value their trust by making safety our guiding principle. It’s our core value and integral to how we do business.
Beyond this core principle, our shared values and behaviors unite us as we work together to elevate customers, shape lives and protect the future. We champion our customers and help them succeed. We play to win – adapting quickly in an everchanging world – and make smart choices to safeguard our business, our communities and the people we serve for generations to come. And we invest in our world-class team, empowering our colleagues to unpack their potential, because we believe when our people grow, so does our business.
ABOUT THE ROLE
An AI Full Stack Engineer is responsible for designing, developing, and deploying machine learning, AI models and algorithms to enhance products and services, collaborates with key business data owners, data governance, data engineering, and IT application business analysts to align strategies, maintain execution transparency, and support effective delivery.
This role leads the design and execution of regional or multi-site AI/ Gen AI/ML Models that drive operational efficiency, sustainability, and supply chain visibility. Defines and manages AI/ML roadmaps within a business domain, manages cross-functional teams, and translates business needs into scalable data solutions. Operates with moderate autonomy, influences data architecture decisions, and ensures alignment with global standards. Skilled in cloud platforms, data modelling, and stakeholder engagement. In addition to AI/ML expertise, this role encompasses full stack development — building and maintaining frontend user interfaces, RESTful and GraphQL APIs, backend services, and database layers — to deliver end-to-end AI-powered applications from model to production UI.
KEY JOB ACCOUNTABILITIES
- Model Development: Design and develop machine learning models and algorithms tailored to specific business needs. Design and implement production-ready RAG systems that connect LLMs to enterprise data sources (data lake, Microsoft Fabric, SAP, MES, document repositories); own prompt templates, retrieval strategies, and evaluation; optimize for accuracy, latency, and cost. Build AI agents that orchestrate multi-step workflows.
- Collaboration: Work closely with data scientists, software engineers, and cross-functional teams to integrate models into production systems.
- Data Analysis: Analyze large and complex datasets to extract actionable insights and improve model performance.
- Optimization: Tune and enhance model performance and accuracy through iterative testing and validation.
- Documentation: Maintain thorough documentation of AI/ML models, experiments, and processes to ensure reproducibility and knowledge sharing.
- Stay Updated: Keep abreast of the latest advancements in AI and ML technologies to apply innovative solutions in projects.
- Establish and maintain working relationships with Amcor business stakeholders. Engage enterprise decision makers and stakeholders to facilitate group decisions and outcomes.
- Full Stack Development: Design and build end-to-end AI-powered applications encompassing frontend user interfaces, backend APIs, and integration layers that surface AI/ML model outputs to end users.
- API & Backend Services: Develop and maintain RESTful and/or GraphQL APIs and backend microservices that connect AI/ML models to enterprise data sources and front-end applications.
- Database Design & Management: Design, implement, and optimize relational and NoSQL database schemas to support AI application data needs, including vector databases for embedding storage and retrieval.
- Cloud Deployment & DevOps: Deploy and manage full stack applications on cloud platforms (Azure/AWS/GCP); implement CI/CD pipelines, containerization (Docker/Kubernetes), and infrastructure-as-code practices to ensure reliable, scalable delivery of AI solutions.
BASIC QUALIFICATIONS/REQUIREMENTS
- Educational Background: Bachelor’s in computer science, Machine Learning, or a related field.
- 2 - 4 years’ experience as an AI/ML Engineer or in a similar role, with a strong understanding of machine learning algorithms and principles.
- Experienced in Large Language Models, Transformers, CNN, Scikit-learn, NLP libraries, Embedding Models, Vector Databases, AI Agents, and Agentic orchestrations.
- Technical Proficiency: Familiarity with deep learning frameworks such as TensorFlow or PyTorch, Keras and proficiency in programming languages like Python, PySpark, R, or Java.
- Experience with data visualization tools (Power BI and Tableau).
- Frontend Development: Proficiency in modern frontend web technologies and frameworks (e.g. component-based UI libraries, HTML5, CSS3) to build responsive, user-friendly interfaces for AI-powered applications.
- Backend & API Development: Experience designing and building RESTful and/or GraphQL APIs using Python-based frameworks (e.g. FastAPI, Flask, Django) or Node.js; understanding of microservices architecture and API security best practices.
- Database Skills: Hands-on experience with relational databases (e.g. SQL Server, PostgreSQL) and NoSQL/vector databases; ability to design schemas, write optimized queries, and manage data pipelines that feed AI applications.
- Cloud & DevOps: Familiarity with containerization (Docker, Kubernetes), CI/CD tooling, and infrastructure-as-code on major cloud platforms (Azure, AWS, or GCP) to deploy and operate full stack AI solutions reliably at scale.
OUR EXPECTATIONS
We expect our people to be guided by The Amcor Way and demonstrate our Values every day to enable the business to win. We are winning when:
- Our people are engaged and developing as part of a high-performing Amcor team.
- Our customers grow and prosper from Amcor’s quality, service, and innovation.
- Our investors benefit from Amcor’s consistent growth and superior returns.
- The environment is better off because of Amcor’s leadership and products.
EQUAL OPPORTUNITY EMPLOYER/ MINORITIES/ FEMALES/ DISABLED/ VETERANS/ SEXUAL ORIENTATION/ GENDER IDENTITY
Amcor is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
If you would like more information about your EEO rights as an applicant under the law, please click on the "Know Your Rights: Workplace Discrimination is Illegal" Poster. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please call 224-313-7000 and let us know the nature of your request and your contact information.
E-VERIFY
We verify the identity and employment authorization of individuals hired for employment in the United States.
COMPENSATION
The starting salary for this position is expected to be between $85,600 to $107,000; however, base pay offered may vary within the full salary range $85,600 to $128,400 depending on job-related knowledge, skills, and experience. Base pay information is based on national averages and a geographic differential may be applied based on work location. Position may also be eligible for Amcor’s Management Incentive Plan / Sales Incentive Plan, which is an annual bonus program based on business and individual performance, as well as medical coverage and other health and welfare benefits. The salary range provided reflects the anticipated base pay for this role at the time of this posting. This range is applicable to positions performed in jurisdictions with pay transparency requirements, including CA, CO, CT, HI, IL, MD, MA, MN, NV, NJ, NY, RI, VT, WA, Washington DC, as well as remote roles that may be performed in these locations. Compensation for roles performed outside of these jurisdictions may vary. The Company reserves the right to modify this range at any time.
BENEFITS
When you join Amcor, you will have access to a comprehensive benefits and compensation package that includes:
- Medical, dental and vision plans.
- Flexible time off, starting at 80 hours paid time per year for full-time salaried employees.
- Company-paid holidays starting at 8 days per year and may vary by location.
- Wellbeing program & Employee Assistance Program.
- Health Savings Account/Flexible Spending Account.
- Life insurance, AD&D, short-term & long-term disability, and voluntary benefits.
- Paid Parental Leave.
- Retirement Savings Plan with company match.
- Tuition Reimbursement (dependent upon approval).
- Discretionary annual bonus program (initial eligibility dependent upon hire date).
INTRODUCTION
Accelerate the possible by joining a winning Amcor team that’s transforming the packaging industry and improving lives around the world. At Amcor, we unpack possibility through our innovative and responsible packaging to provide solutions that benefit our customers, our people and our planet. More than 10,000 consumers worldwide encounter our products every second and rely on us for safe access to food, medicine and other goods. We value their trust by making safety our guiding principle. It’s our core value and integral to how we do business.
Beyond this core principle, our shared values and behaviors unite us as we work together to elevate customers, shape lives and protect the future. We champion our customers and help them succeed. We play to win – adapting quickly in an everchanging world – and make smart choices to safeguard our business, our communities and the people we serve for generations to come. And we invest in our world-class team, empowering our colleagues to unpack their potential, because we believe when our people grow, so does our business.
ABOUT THE ROLE
An AI Full Stack Engineer is responsible for designing, developing, and deploying machine learning, AI models and algorithms to enhance products and services, collaborates with key business data owners, data governance, data engineering, and IT application business analysts to align strategies, maintain execution transparency, and support effective delivery.
This role leads the design and execution of regional or multi-site AI/ Gen AI/ML Models that drive operational efficiency, sustainability, and supply chain visibility. Defines and manages AI/ML roadmaps within a business domain, manages cross-functional teams, and translates business needs into scalable data solutions. Operates with moderate autonomy, influences data architecture decisions, and ensures alignment with global standards. Skilled in cloud platforms, data modelling, and stakeholder engagement. In addition to AI/ML expertise, this role encompasses full stack development — building and maintaining frontend user interfaces, RESTful and GraphQL APIs, backend services, and database layers — to deliver end-to-end AI-powered applications from model to production UI.
KEY JOB ACCOUNTABILITIES
- Model Development: Design and develop machine learning models and algorithms tailored to specific business needs. Design and implement production-ready RAG systems that connect LLMs to enterprise data sources (data lake, Microsoft Fabric, SAP, MES, document repositories); own prompt templates, retrieval strategies, and evaluation; optimize for accuracy, latency, and cost. Build AI agents that orchestrate multi-step workflows.
- Collaboration: Work closely with data scientists, software engineers, and cross-functional teams to integrate models into production systems.
- Data Analysis: Analyze large and complex datasets to extract actionable insights and improve model performance.
- Optimization: Tune and enhance model performance and accuracy through iterative testing and validation.
- Documentation: Maintain thorough documentation of AI/ML models, experiments, and processes to ensure reproducibility and knowledge sharing.
- Stay Updated: Keep abreast of the latest advancements in AI and ML technologies to apply innovative solutions in projects.
- Establish and maintain working relationships with Amcor business stakeholders. Engage enterprise decision makers and stakeholders to facilitate group decisions and outcomes.
- Full Stack Development: Design and build end-to-end AI-powered applications encompassing frontend user interfaces, backend APIs, and integration layers that surface AI/ML model outputs to end users.
- API & Backend Services: Develop and maintain RESTful and/or GraphQL APIs and backend microservices that connect AI/ML models to enterprise data sources and front-end applications.
- Database Design & Management: Design, implement, and optimize relational and NoSQL database schemas to support AI application data needs, including vector databases for embedding storage and retrieval.
- Cloud Deployment & DevOps: Deploy and manage full stack applications on cloud platforms (Azure/AWS/GCP); implement CI/CD pipelines, containerization (Docker/Kubernetes), and infrastructure-as-code practices to ensure reliable, scalable delivery of AI solutions.
BASIC QUALIFICATIONS/REQUIREMENTS
- Educational Background: Bachelor’s in computer science, Machine Learning, or a related field.
- 2 - 4 years’ experience as an AI/ML Engineer or in a similar role, with a strong understanding of machine learning algorithms and principles.
- Experienced in Large Language Models, Transformers, CNN, Scikit-learn, NLP libraries, Embedding Models, Vector Databases, AI Agents, and Agentic orchestrations.
- Technical Proficiency: Familiarity with deep learning frameworks such as TensorFlow or PyTorch, Keras and proficiency in programming languages like Python, PySpark, R, or Java.
- Experience with data visualization tools (Power BI and Tableau).
- Frontend Development: Proficiency in modern frontend web technologies and frameworks (e.g. component-based UI libraries, HTML5, CSS3) to build responsive, user-friendly interfaces for AI-powered applications.
- Backend & API Development: Experience designing and building RESTful and/or GraphQL APIs using Python-based frameworks (e.g. FastAPI, Flask, Django) or Node.js; understanding of microservices architecture and API security best practices.
- Database Skills: Hands-on experience with relational databases (e.g. SQL Server, PostgreSQL) and NoSQL/vector databases; ability to design schemas, write optimized queries, and manage data pipelines that feed AI applications.
- Cloud & DevOps: Familiarity with containerization (Docker, Kubernetes), CI/CD tooling, and infrastructure-as-code on major cloud platforms (Azure, AWS, or GCP) to deploy and operate full stack AI solutions reliably at scale.
OUR EXPECTATIONS
We expect our people to be guided by The Amcor Way and demonstrate our Values every day to enable the business to win. We are winning when:
- Our people are engaged and developing as part of a high-performing Amcor team.
- Our customers grow and prosper from Amcor’s quality, service, and innovation.
- Our investors benefit from Amcor’s consistent growth and superior returns.
- The environment is better off because of Amcor’s leadership and products.
EQUAL OPPORTUNITY EMPLOYER/ MINORITIES/ FEMALES/ DISABLED/ VETERANS/ SEXUAL ORIENTATION/ GENDER IDENTITY
Amcor is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
If you would like more information about your EEO rights as an applicant under the law, please click on the "Know Your Rights: Workplace Discrimination is Illegal" Poster. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please call 224-313-7000 and let us know the nature of your request and your contact information.
E-VERIFY
We verify the identity and employment authorization of individuals hired for employment in the United States.
COMPENSATION
The starting salary for this position is expected to be between $85,600 to $107,000; however, base pay offered may vary within the full salary range $85,600 to $128,400 depending on job-related knowledge, skills, and experience. Base pay information is based on national averages and a geographic differential may be applied based on work location. Position may also be eligible for Amcor’s Management Incentive Plan / Sales Incentive Plan, which is an annual bonus program based on business and individual performance, as well as medical coverage and other health and welfare benefits. The salary range provided reflects the anticipated base pay for this role at the time of this posting. This range is applicable to positions performed in jurisdictions with pay transparency requirements, including CA, CO, CT, HI, IL, MD, MA, MN, NV, NJ, NY, RI, VT, WA, Washington DC, as well as remote roles that may be performed in these locations. Compensation for roles performed outside of these jurisdictions may vary. The Company reserves the right to modify this range at any time.
BENEFITS
When you join Amcor, you will have access to a comprehensive benefits and compensation package that includes:
- Medical, dental and vision plans.
- Flexible time off, starting at 80 hours paid time per year for full-time salaried employees.
- Company-paid holidays starting at 8 days per year and may vary by location.
- Wellbeing program & Employee Assistance Program.
- Health Savings Account/Flexible Spending Account.
- Life insurance, AD&D, short-term & long-term disability, and voluntary benefits.
- Paid Parental Leave.
- Retirement Savings Plan with company match.
- Tuition Reimbursement (dependent upon approval).
- Discretionary annual bonus program (initial eligibility dependent upon hire date).
See all 435+ Full Stack Engineer jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Full Stack Engineer
Verify your CIP code before applying
Cross-check your degree's CIP code against the DHS STEM Designated Degree Program List. Computer science (11.0701), software engineering (14.0903), and information technology (11.0103) all qualify, but general business or liberal arts degrees do not, even if your coursework was technical.
Confirm E-Verify enrollment before accepting offers
Ask recruiting contacts directly whether their company is an active E-Verify participant. You can also search the E-Verify employer search tool by company name. Accepting an offer from a non-enrolled employer disqualifies you from the STEM OPT extension entirely.
Use Migrate Mate to target verified STEM OPT employers
Filter your Full Stack Engineer job search on Migrate Mate to surface companies with confirmed E-Verify enrollment. This removes the manual verification step and lets you focus your applications on roles where your 24-month extension is actually viable from day one.
File your I-983 training plan before your start date
Your employer must sign the I-983 before your STEM OPT extension begins. Build the training plan around specific full-stack skills like backend architecture, CI/CD pipelines, or API design so it reflects genuine learning objectives, which reduces the risk of a USCIS compliance issue later.
Target startups that scaled past E-Verify registration
Early-stage startups frequently skip E-Verify enrollment until they hit a federal contract or hiring threshold. When targeting smaller engineering teams, ask HR whether they registered with E-Verify when they were founded or after their first federal contract, not just whether they're enrolled now.
Align your resume stack to prevailing wage job zones
Full Stack Engineer roles typically fall into DOL Job Zone 4. Check the O*NET occupation profile for this title to understand which technical skills define the role at each wage level, then match your resume accordingly to avoid being screened out during OFLC Wage Search verification.
Full Stack Engineer jobs are hiring across the US. Find yours.
Find Full Stack Engineer JobsFrequently Asked Questions
Does a Full Stack Engineer role qualify for the STEM OPT extension?
Yes, if your degree is in a qualifying STEM field such as computer science, software engineering, electrical engineering, or information technology. The role itself must also directly relate to your degree program. USCIS evaluates both the employer's position and your educational background, so a full-stack role under a computer science degree is a straightforward match.
How do I find Full Stack Engineer employers enrolled in E-Verify?
You can search the E-Verify employer search tool by company name to confirm active enrollment before applying. Migrate Mate also surfaces Full Stack Engineer jobs at E-Verify-enrolled employers, so you can skip the manual lookup and focus your applications on companies that already meet the STEM OPT requirement.
What goes into the I-983 training plan for a Full Stack Engineer role?
Your I-983 must describe the specific skills and knowledge you'll develop on the job, how those goals connect to your STEM degree, and how your employer will supervise your progress. For full-stack roles, this typically includes objectives around frontend frameworks, backend systems, database design, and deployment practices, all tied back to your academic training.
What happens to my STEM OPT authorization if my employer loses E-Verify enrollment?
If your employer's E-Verify enrollment lapses or is terminated during your STEM OPT extension period, you must find a new qualifying employer to maintain your status. You should notify your DSO promptly, because STEM OPT authorization is tied to continued employment with an enrolled E-Verify participant. USCIS requires the employer to remain enrolled for the full extension period.
Can I apply for an H-1B while working as a Full Stack Engineer on STEM OPT?
Yes, and the timing matters. If your employer files an H-1B cap-subject petition before your STEM OPT extension expires and you're selected in the lottery, the cap-gap rule automatically extends your work authorization through September 30 of that fiscal year. This prevents a gap between your STEM OPT end date and your H-1B start date on October 1.
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