Full-stack AI Engineer
A senior engineering group is being built in Austin, TX, tasked with creating the next generation of enterprise automation. The mission is to design, deliver, and scale production-grade Agentic AI workflows that execute highly complex, meaningful tasks across the business. The team operates like a high-functioning startup within the enterprise, favouring shipping over process, rigorous evaluation over opinions, and strategic platform investments.
The role is for highly capable product builders who will own complex agentic workflows from the user interface down to the model execution. Responsibilities include navigating across a React front-end, a C#/.NET orchestration layer, and various tool integrations to deliver agents that feel like refined, intelligent products. The successful candidate will be responsible for the orchestration logic, multi-agent handoffs, and rigorous evaluation coverage, ensuring agents behave predictably in production.
- 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 behavioural, 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.
- 3+ years of professional software engineering experience, with meaningful production depth on both front and back ends (required).
- Strong proficiency in C# and .NET for server-side work, including modern .NET (8 / 9 / 10), async patterns, and dependency injection (required).
- Strong proficiency in TypeScript and React for front-end work (required).
- Experience shipping at least one production system that uses LLMs end-to-end (required).
- Demonstrated ability to learn unfamiliar frameworks quickly and write production-grade code (required).
- Strong grasp of API design, auth, async patterns, and the tradeoffs of streaming versus request-response (required).
- Working knowledge of Azure primitives (App Service / AKS / Functions, Key Vault, API Management, Entra ID) and comfort writing IaC (Bicep) (required).
- Experience writing evals for non-deterministic systems: behavioural tests, regression harnesses, human-rated samples (required).
- Hands-on time with Microsoft Agent Framework, Semantic Kernel, or AutoGen (nice-to-have).
- Experience with .NET Aspire and Azure Functions hosting patterns for agents (nice-to-have).
- Experience with AG-UI, CopilotKit, or comparable agent/copilot UI frameworks (nice-to-have).
- Experience with N8N, Make, Zapier, or similar low-code / automation platforms at production scale (nice-to-have).
- Experience with Foundry Observability and Foundry Evals, including the Azure DevOps Foundry-evals extension for CI/CD (nice-to-have).
- Prior experience on a platform or developer experience team (nice-to-have).
- Exposure to enterprise identity (Entra ID / AAD), data classification, and DLP patterns (nice-to-have).
- Familiarity with MCP (Model Context Protocol) and A2A (Agent-to-Agent) interoperability patterns (nice-to-have).
- Bachelor's degree in Computer Science or related field, or equivalent professional experience (required).
Light & Wonder, Inc. is a leading cross-platform gaming company headquartered in Las Vegas, Nevada. Formerly known as Scientific Games, it rebranded in 2022 after divesting its lottery and sports-betting businesses to focus on gaming. The company operates across three segments - Gaming (slot machines, table games and casino systems under brands such as Bally, WMS and Shuffle Master), SciPlay (social casino games) and iGaming (online casino content). Listed in both the US and Australia, it supplies content and systems to casinos and online operators worldwide.