OPT Full Stack Product Engineer Jobs
Full Stack Product Engineer roles are among the most OPT-friendly positions in tech, with strong demand from startups and growth-stage companies comfortable with F-1 work authorization. Your 12-month OPT window, extendable to 36 months with a STEM extension, gives employers a genuine long-term hiring runway.
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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 2,146+ OPT Full Stack Product Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new OPT Full Stack Product Engineer Jobs.
Get Access To All JobsTips for Finding OPT Sponsorship as a Full Stack Product Engineer
Lead with your full-stack breadth upfront
Recruiters skim dozens of applications. List your frontend and backend technologies clearly in your resume summary. Engineers who can own a feature end-to-end are exactly what product-focused teams want, and that clarity speeds up screening.
Target companies already comfortable with OPT
Startups that have hired international engineers before rarely hesitate on OPT. Search Migrate Mate to filter for employers actively sponsoring F-1 candidates, so you spend time applying where your authorization status is a non-issue from day one.
Frame your STEM OPT extension as a hiring advantage
Full Stack Product Engineer roles fall squarely within STEM-eligible fields. Mention in your cover letter that STEM OPT extends your authorization to 36 months. Employers see a longer runway before any H-1B visa decision is required, which reduces their perceived risk.
Showcase shipped products, not just technical skills
Product engineers are judged on impact, not just code. Include metrics where possible: user growth, latency improvements, or feature adoption rates. Employers hiring for a product engineering role want proof you can move fast and deliver something real.
Clarify your OPT authorization proactively in applications
State your OPT status and STEM extension eligibility in your cover letter or application notes. Avoiding the topic creates friction. Employers who see the details upfront can assess sponsorship willingness early, saving both sides time in the process.
Build a portfolio that demonstrates full ownership
Side projects or past work where you built both the API and the UI show genuine full-stack capability. Document your architectural decisions briefly. Hiring managers at product companies want engineers who can reason about the whole system, not just execute tickets.
Full Stack Product Engineer OPT: Frequently Asked Questions
Can I work as a Full Stack Product Engineer on OPT?
Yes. Full Stack Product Engineer is a STEM-eligible role, which means your F-1 OPT authorizes you to work in this position for up to 12 months initially. If your degree is in a qualifying STEM field such as computer science, software engineering, or a related discipline, you can apply for a 24-month STEM OPT extension, giving you up to 36 months of total authorization.
Do Full Stack Product Engineer employers typically sponsor H-1B visas?
Many do, particularly mid-size and growth-stage tech companies that hire product engineers for long-term team roles. Sponsorship willingness varies by company size and hiring capacity. Startups under 25 employees sometimes cannot commit to sponsorship timelines. Searching on Migrate Mate lets you filter for employers who have a documented track record of sponsoring F-1 and H-1B candidates in engineering roles, which significantly narrows your search.
Does my degree need to be in computer science to qualify for STEM OPT extension in this role?
Not necessarily. The STEM extension eligibility depends on your degree field, not the job title. Degrees in computer science, information technology, electrical engineering, mathematics, and several related disciplines qualify. Your DSO can confirm whether your specific degree CIP code appears on the STEM OPT designated degree program list. The Full Stack Product Engineer role itself aligns well with most engineering and computing degree fields.
What technologies should I prioritize to stay competitive for Full Stack Product Engineer roles on OPT?
Product engineering teams commonly use React or Vue on the frontend paired with Node.js, Python, or Go on the backend, often deployed on AWS or Google Cloud. Familiarity with PostgreSQL or MongoDB, REST or GraphQL API design, and CI/CD pipelines is consistently valued. Beyond the stack, demonstrating that you can contribute across the product lifecycle, from API design through deployment, matters more than any single framework choice.
How early should I start applying for Full Stack Product Engineer roles before my OPT start date?
Start applying three to four months before your intended start date. Hiring timelines for engineering roles often run four to eight weeks from first contact to offer, and companies frequently prefer candidates who can start within 30 to 60 days of an offer. Applying too early can create misalignment on start dates. Migrate Mate surfaces OPT-friendly job listings so you can time your search to your actual authorization window.