Senior Full-stack AI Engineer

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.

Essential Job Functions

• Arcitect and 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
• 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

• 6+ 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

Qualifications

• 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.