Full-Stack AI Engineer: Production-Grade Agent Workflows

Light & Wonder; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Light & Wonder in Austin, TX seeks a Full-stack AI Engineer to build end-to-end agentic AI workflows, combining conversational UI, orchestration, and integrations. You will work with Microsoft Agent Framework (.NET), Azure OpenAI, and data platforms like Snowflake and Databricks to deliver reliable, production-grade systems.

The role emphasizes testing, evaluation, and collaboration across engineering teams to ship robust AI-powered experiences.

Qualifications

• 3+ years of professional software engineering experience with production depth across front-end and back-end.
• Strong proficiency in C# and .NET for server-side work, including modern .NET (8/9/10), async patterns, and DI.
• Strong proficiency in TypeScript and React for front-end work.
• Experience shipping at least one production system that uses LLMs end to end, with real users and reliability constraints.
• Demonstrated ability to learn unfamiliar frameworks quickly and produce production-grade code.
• Strong grasp of API design, authentication, async patterns, and tradeoffs between streaming and request-response.
• Working knowledge of Azure primitives including App Service/AKS/Funtions, Key Vault, API Management, Entra ID, with comfort writing IaC using Bicep.
• Experience writing evaluations for non-deterministic systems, including behavioral tests and regression harnesses.

Responsibilities

• Deliver production-grade agent workflows end to end, including UI, orchestration logic, and tool integrations.
• Build embedded and intuitive agent interfaces using AG-UI and CopilotKit to support a refined product experience.
• Implement robust orchestration with Microsoft Agent Framework (.NET), including tool calling, multi-agent patterns, and human-in-the-loop handoffs.
• Integrate with low-code platforms such as N8N to accelerate delivery while maintaining reliability.
• Develop comprehensive behavioral, regression, and adversarial evaluations for workflows before they ship to production.
• 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.

Skills

Front-end & Back-end development

Production-grade software engineering

LLM integration experience

Education

Bachelor's degree in Computer Science

Tools

C#

.NET

TypeScript

React

Azure OpenAI

Snowflake

Databricks

Microsoft Fabric

AG-UI

CopilotKit

N8N

Azure App Service

AKS

Azure Functions

Key Vault

API Management

Entra ID

Bicep

Semantic Kernel

AutoGen

Foundry Observability

Foundry Evals

Azure DevOps Foundry-evals extension

Make

Zapier

MCP

A2A

Job description

Light & Wonder in Austin, TX seeks a Full-stack AI Engineer to build end-to-end agentic AI workflows, combining conversational UI, orchestration, and integrations. You will work with Microsoft Agent Framework (.NET), Azure OpenAI, and data platforms like Snowflake and Databricks to deliver reliable, production-grade systems.

The role emphasizes testing, evaluation, and collaboration across engineering teams to ship robust AI-powered experiences.