Senior Generative AI Engineer

Light & Wonder’s corporate team provides essential services across the organization to ensure success and employee well‑being.

We are building a senior engineering group based in Austin, TX, tasked with creating the next generation of enterprise automation. 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.

We are looking for highly capable product builders who will own complex agentic workflows from the user interface down through 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.

• Architect 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 Copilot Kit 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

• 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 Type Script 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 ) and comfort writing IaC (Bicep)
• Experience writing evals for non‑deterministic systems: behavioral tests, regression harnesses, human‑rated samples

• Hands‑on time with Microsoft Agent Framework, Semantic Kernel, or Auto Gen. 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, Copilot Kit, or comparable agent/copilot UI frameworks
• Experience with N8N, Make, Zapier, or similar low‑code / automation…