OPT Full Stack Application Development Jobs
Full Stack Application Development jobs on OPT require employers to support your work authorization timeline, whether you're on a 12-month STEM OPT extension or initial OPT. Most roles involve JavaScript frameworks, backend APIs, and cloud infrastructure, making them strong candidates for STEM OPT eligibility under CIP code 11.0201.
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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 200+ OPT Full Stack Application Development Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship in Full Stack Application Development
Target STEM-designated employers first
Companies registered with E-Verify can extend your OPT by 24 months under STEM OPT. Prioritize employers who already have this infrastructure in place, as they're familiar with the reporting requirements and won't need to learn the process from scratch.
Confirm your degree qualifies for STEM OPT
Full stack roles typically qualify under CIP codes like Computer Science (11.0101) or Computer Software Engineering (11.0201). Verify your specific degree program's CIP code with your DSO before applying, so you can confidently tell employers you're STEM OPT eligible.
Apply before your OPT start date
Most hiring timelines run six to eight weeks. Submit applications at least two months before your current authorization expires so employers aren't rushed. Hiring managers unfamiliar with OPT are more likely to move forward when there's no deadline pressure.
Lead with your technical stack, not your visa status
In applications and interviews, let your proficiency in React, Node.js, or similar technologies do the work first. Address OPT status when asked or in the final interview stage, once you've already demonstrated clear value to the team.
Clarify OPT reporting requirements proactively
STEM OPT requires your employer to submit a training plan and provide progress reports. Walking a hiring manager through this process during late-stage interviews signals maturity and reduces friction, making it easier for companies without prior OPT experience to say yes.
Browse OPT-friendly roles on Migrate Mate
Generic job boards don't filter for OPT sponsorship willingness. Migrate Mate surfaces full stack roles from employers already open to OPT candidates, saving you time and reducing the frustration of applying to positions that quietly require permanent work authorization.
Full Stack Application Development OPT: Frequently Asked Questions
Do full stack development jobs qualify for STEM OPT extension?
Most full stack application development roles qualify for the 24-month STEM OPT extension if your degree falls under an eligible CIP code, such as Computer Science (11.0101) or Software Engineering (11.0201). The job must also be directly related to your field of study. Confirm eligibility with your DSO before accepting an offer.
How do I know if a full stack employer supports OPT?
For STEM OPT, the employer must be enrolled in E-Verify. You can ask HR directly whether they're E-Verify registered before investing time in the interview process. For initial 12-month OPT, any employer can hire you, but companies with prior OPT experience will be smoother to work with. Migrate Mate filters for OPT-friendly employers so you're not guessing.
Can I work as a contractor or through a staffing agency on OPT?
You can work through a staffing agency on initial OPT, but STEM OPT has stricter rules. The employer of record must be E-Verify enrolled, and third-party placement arrangements face extra scrutiny from USCIS. Your training plan must accurately reflect where you're actually working and who supervises you. Consulting your DSO before accepting a contract role is strongly recommended.
What should I include in my STEM OPT training plan for a full stack role?
Your Form I-983 training plan should outline specific learning goals tied to your degree, such as building scalable APIs, implementing CI/CD pipelines, or developing proficiency in cloud platforms like AWS or Azure. Generic descriptions don't hold up well under USCIS review. Work with your employer's HR team to write goals that are concrete, measurable, and directly connected to your academic background.
How many hours per week must I work in a full stack role on OPT?
OPT requires at least 20 hours of work per week to maintain valid F-1 status. Full-time full stack positions typically exceed this threshold, but if you accept a part-time role, make sure it clears that minimum. For STEM OPT specifically, the 20-hour rule is enforced more rigorously, and falling below it can jeopardize your authorization and future H-1B visa eligibility.