OPT Full Stack Engineer Jobs
Full Stack Engineer roles are among the most actively sponsored positions for F-1 OPT students, with employers regularly filing H-1B visa petitions for qualified candidates. Your 12-month OPT window, and 24-month STEM extension if your degree qualifies, gives you enough runway to secure long-term sponsorship.
Find OPT Full Stack Engineer JobsOverview
Showing 5 of 2,139+ Full Stack Engineer jobs
See all 2,139+ Full Stack Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Full Stack Engineer roles.
Get Access To All JobsCorporate:
Light & Wonder’s corporate team is comprised of incredible talent that works across the enterprise, defying boundaries to provide essential services in an extraordinary manner to ensure the success of the organization and the well-being of employees.
Position Summary
About the Team
We are building a tight-knit, senior engineering group based in Austin, TX, tasked with creating the next generation of enterprise automation at Light & Wonder. Our mission is to design, deliver, and scale production-grade Agentic AI workflows that execute highly complex, meaningful tasks across the business.
We will operate like a high-functioning startup within the enterprise: we favor shipping over process, rigorous evaluation over opinions, and strategic platform investments that make every subsequent deployment faster. We are leaning heavily into the modern Microsoft ecosystem, anchoring our architecture on the newly GA Microsoft Agent Framework (.NET), Azure OpenAI, and an advanced data backend powered by Snowflake, Databricks, and Microsoft Fabric. If you want to build resilient, multi-agent systems at enterprise scale, this is the team.
About the Role
We are looking for highly capable product builders who will own complex agentic workflows from the user interface down to the model execution. You will navigate across a React front-end, a C#/.NET orchestration layer, and various tool integrations to deliver agents that feel like refined, intelligent products.
You will not be confined to a single layer of the stack. You will be responsible for the orchestration logic, multi-agent handoffs, and the rigorous evaluation coverage, ensuring your agents behave predictably in production. We don't expect you to have years of experience with the Microsoft Agent Framework specifically. We do expect broad technical expertise, a deep understanding of modern async patterns, and the ability to ship resilient AI software.
Essential Job Functions
- Deliver production-grade agent workflows end-to-end, spanning conversational UI, orchestration logic, and tool integrations
- Build intuitive, embedded agent interfaces using AG-UI and CopilotKit to deliver a refined product experience
- Implement robust orchestration using Microsoft Agent Framework (.NET), handling tool calling, multi-agent patterns, and human-in-the-loop handoffs
- Integrate with low-code platforms like N8N for workflow edge cases to accelerate delivery without sacrificing reliability
- Develop comprehensive behavioral, regression, and adversarial evaluations for all shipped workflows to guarantee production reliability
- Collaborate with Data Engineering on consumable data surfaces and with Platform Engineering on deployment and observability standards
- Contribute to shared platform primitives, reusable templates, and rigorous code review practices across the team
Required Qualifications
- 3+ years of professional software engineering experience, with meaningful production depth on both front and back ends
- Strong proficiency in C# and .NET for server-side work, including modern .NET (8 / 9 / 10), async patterns, and dependency injection. This is the primary stack and is required, not preferred
- Strong proficiency in TypeScript and React for front-end work
- Experience shipping at least one production system that uses LLMs end-to-end. "Production" means real users, real reliability constraints, and real evals - not a hackathon project or a tutorial follow-along. Multi-step orchestration or agent experience preferred over single-completion-call experience
- Demonstrated ability to learn unfamiliar frameworks quickly and write production-grade code while doing so. We will probe for this in the technical screen
- Strong grasp of API design, auth, async patterns, and the tradeoffs of streaming versus request-response
- Working knowledge of Azure primitives (App Service / AKS / Functions, Key Vault, API Management, Entra ID) and comfort writing IaC (Bicep)
- Experience writing evals for non-deterministic systems: behavioral tests, regression harnesses, human-rated samples
Preferred Qualifications
- Hands-on time with Microsoft Agent Framework, Semantic Kernel, or AutoGen. MAF specifically is recently GA; depth is uncommon and not required
- Experience with .NET Aspire and Azure Functions hosting patterns for agents
- Experience with AG-UI, CopilotKit, or comparable agent/copilot UI frameworks
- Experience with N8N, Make, Zapier, or similar low-code / automation platforms at production scale
- Experience with Foundry Observability and Foundry Evals, including the Azure DevOps Foundry-evals extension for CI/CD
- Prior experience on a platform or developer experience team. You know what reusable looks like
- Exposure to enterprise identity (Entra ID / AAD), data classification, and DLP patterns
- Familiarity with MCP (Model Context Protocol) and A2A (Agent-to-Agent) interoperability patterns
Education
Bachelor's degree in Computer Science or related field, or equivalent professional experience.
Physical Requirements
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, stand, walk, bend, use hands, operate a computer, and have specific vision abilities to include close and distance vision, and the ability to adjust focus while working with computer and business equipment.
Work Conditions
Light & Wonder and its affiliates (collectively, L&W) are engaged in highly regulated gaming businesses. As a result, certain L&W employees may, among other things, be required to obtain a gaming or other license(s), undergo background investigations or security checks, or meet certain standards dictated by law, regulation or contracts. In order to ensure L&W complies with its regulatory and contractual commitments, as a condition to hiring and continuing to employ its employees, L&W requires all of its employees to meet those requirements that are necessary to fulfill their individual roles. As a prerequisite to employment with L&W (to the extent permitted by law), you shall be asked to consent to L&W conducting a due diligence/background investigation on you.
This job description should not be interpreted as all-inclusive; it is intended to identify major responsibilities and requirements of the job. The employee in this position may be requested to perform other job-related tasks and responsibilities than those stated above.
Light & Wonder is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. If you’d like more information about your equal employment opportunity rights as an applicant under the law.
Corporate:
Light & Wonder’s corporate team is comprised of incredible talent that works across the enterprise, defying boundaries to provide essential services in an extraordinary manner to ensure the success of the organization and the well-being of employees.
Position Summary
About the Team
We are building a tight-knit, senior engineering group based in Austin, TX, tasked with creating the next generation of enterprise automation at Light & Wonder. Our mission is to design, deliver, and scale production-grade Agentic AI workflows that execute highly complex, meaningful tasks across the business.
We will operate like a high-functioning startup within the enterprise: we favor shipping over process, rigorous evaluation over opinions, and strategic platform investments that make every subsequent deployment faster. We are leaning heavily into the modern Microsoft ecosystem, anchoring our architecture on the newly GA Microsoft Agent Framework (.NET), Azure OpenAI, and an advanced data backend powered by Snowflake, Databricks, and Microsoft Fabric. If you want to build resilient, multi-agent systems at enterprise scale, this is the team.
About the Role
We are looking for highly capable product builders who will own complex agentic workflows from the user interface down to the model execution. You will navigate across a React front-end, a C#/.NET orchestration layer, and various tool integrations to deliver agents that feel like refined, intelligent products.
You will not be confined to a single layer of the stack. You will be responsible for the orchestration logic, multi-agent handoffs, and the rigorous evaluation coverage, ensuring your agents behave predictably in production. We don't expect you to have years of experience with the Microsoft Agent Framework specifically. We do expect broad technical expertise, a deep understanding of modern async patterns, and the ability to ship resilient AI software.
Essential Job Functions
- Deliver production-grade agent workflows end-to-end, spanning conversational UI, orchestration logic, and tool integrations
- Build intuitive, embedded agent interfaces using AG-UI and CopilotKit to deliver a refined product experience
- Implement robust orchestration using Microsoft Agent Framework (.NET), handling tool calling, multi-agent patterns, and human-in-the-loop handoffs
- Integrate with low-code platforms like N8N for workflow edge cases to accelerate delivery without sacrificing reliability
- Develop comprehensive behavioral, regression, and adversarial evaluations for all shipped workflows to guarantee production reliability
- Collaborate with Data Engineering on consumable data surfaces and with Platform Engineering on deployment and observability standards
- Contribute to shared platform primitives, reusable templates, and rigorous code review practices across the team
Required Qualifications
- 3+ years of professional software engineering experience, with meaningful production depth on both front and back ends
- Strong proficiency in C# and .NET for server-side work, including modern .NET (8 / 9 / 10), async patterns, and dependency injection. This is the primary stack and is required, not preferred
- Strong proficiency in TypeScript and React for front-end work
- Experience shipping at least one production system that uses LLMs end-to-end. "Production" means real users, real reliability constraints, and real evals - not a hackathon project or a tutorial follow-along. Multi-step orchestration or agent experience preferred over single-completion-call experience
- Demonstrated ability to learn unfamiliar frameworks quickly and write production-grade code while doing so. We will probe for this in the technical screen
- Strong grasp of API design, auth, async patterns, and the tradeoffs of streaming versus request-response
- Working knowledge of Azure primitives (App Service / AKS / Functions, Key Vault, API Management, Entra ID) and comfort writing IaC (Bicep)
- Experience writing evals for non-deterministic systems: behavioral tests, regression harnesses, human-rated samples
Preferred Qualifications
- Hands-on time with Microsoft Agent Framework, Semantic Kernel, or AutoGen. MAF specifically is recently GA; depth is uncommon and not required
- Experience with .NET Aspire and Azure Functions hosting patterns for agents
- Experience with AG-UI, CopilotKit, or comparable agent/copilot UI frameworks
- Experience with N8N, Make, Zapier, or similar low-code / automation platforms at production scale
- Experience with Foundry Observability and Foundry Evals, including the Azure DevOps Foundry-evals extension for CI/CD
- Prior experience on a platform or developer experience team. You know what reusable looks like
- Exposure to enterprise identity (Entra ID / AAD), data classification, and DLP patterns
- Familiarity with MCP (Model Context Protocol) and A2A (Agent-to-Agent) interoperability patterns
Education
Bachelor's degree in Computer Science or related field, or equivalent professional experience.
Physical Requirements
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, stand, walk, bend, use hands, operate a computer, and have specific vision abilities to include close and distance vision, and the ability to adjust focus while working with computer and business equipment.
Work Conditions
Light & Wonder and its affiliates (collectively, L&W) are engaged in highly regulated gaming businesses. As a result, certain L&W employees may, among other things, be required to obtain a gaming or other license(s), undergo background investigations or security checks, or meet certain standards dictated by law, regulation or contracts. In order to ensure L&W complies with its regulatory and contractual commitments, as a condition to hiring and continuing to employ its employees, L&W requires all of its employees to meet those requirements that are necessary to fulfill their individual roles. As a prerequisite to employment with L&W (to the extent permitted by law), you shall be asked to consent to L&W conducting a due diligence/background investigation on you.
This job description should not be interpreted as all-inclusive; it is intended to identify major responsibilities and requirements of the job. The employee in this position may be requested to perform other job-related tasks and responsibilities than those stated above.
Light & Wonder is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. If you’d like more information about your equal employment opportunity rights as an applicant under the law.
See all 2,139+ OPT Full Stack Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new OPT Full Stack Engineer Jobs.
Get Access To All JobsTips for Finding OPT Sponsorship as a Full Stack Engineer
Target companies with an H-1B sponsorship track record
Search DOL LCA disclosure data to verify which employers have filed H-1B visa petitions for Full Stack Engineers in the past. Past filings are the strongest signal that a company is willing to sponsor your long-term work authorization.
Lead with your full-stack depth, not just breadth
Employers sponsoring OPT hires want to see genuine ownership across the stack. Highlight specific projects where you owned both frontend and backend decisions, including architecture choices, not just feature implementations.
Apply for your STEM OPT extension early
If your degree is in computer science, software engineering, or a related STEM field, file your STEM extension application at least 90 days before your initial OPT expires. Late filing risks a gap in your work authorization.
Prioritize startups and mid-size tech companies
Smaller companies often move faster on sponsorship decisions and have more flexibility than large enterprises. Many startups that rely on engineering talent will sponsor H-1B petitions for Full Stack Engineers they cannot afford to lose.
Frame your OPT timeline as an asset in conversations
A STEM-eligible Full Stack Engineer brings up to three years of authorized work before H-1B sponsorship is required. That runway reassures employers who are uncertain about the process and gives you time to prove your value.
Match your tech stack to the employer's actual codebase
Tailoring your resume to reflect the specific frameworks and languages in a job posting, such as React, Node.js, or PostgreSQL, dramatically improves your callback rate and signals you can contribute immediately without a long ramp-up period.
Full Stack Engineer OPT: Frequently Asked Questions
Can F-1 OPT students work as Full Stack Engineers in the United States?
Yes. Full Stack Engineer roles qualify for F-1 OPT because the work is directly related to STEM degree fields like computer science and software engineering. Most positions also qualify for the 24-month STEM OPT extension, giving eligible students up to three years of authorized work before needing H-1B sponsorship.
Do Full Stack Engineer employers commonly sponsor H-1B visas?
Many do, particularly technology companies and startups that depend heavily on engineering talent. Full Stack Engineers consistently appear among the most common H-1B job titles in DOL disclosure data. Sponsorship willingness varies by company size and budget, so it is worth filtering specifically for OPT-friendly employers. Migrate Mate makes it straightforward to browse Full Stack Engineer roles at companies that sponsor.
Does a Full Stack Engineer role qualify for the 24-month STEM OPT extension?
It depends on your degree, not the job title. If your undergraduate or graduate degree is in a STEM field recognized on the DHS STEM Designated Degree Program List, such as computer science, software engineering, or information technology, and the Full Stack Engineer role is directly related to that field, you can apply for the 24-month extension through your Designated School Official.
What should I look for in a Full Stack Engineer job posting to assess sponsorship likelihood?
Look for explicit language about OPT or visa sponsorship in the job description. Beyond that, check whether the company has filed LCA applications for similar roles in the past using publicly available DOL data. Companies that have previously hired international engineers in engineering roles are more likely to understand and support the H-1B sponsorship process for Full Stack Engineers.
How much time do I have to find a Full Stack Engineer job on OPT?
Your initial OPT period gives you 12 months of work authorization after graduation. During that period, you're allowed up to 90 days of unemployment. If your degree qualifies for the STEM extension, a timely application adds 24 more months. Filing the extension at least 90 days before your current OPT expires protects your authorization from lapsing during the review period.