Full-stack AI Engineer

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

The Full-stack AI Engineer role at Light & Wonder focuses on building production-grade agentic AI workflows end to end, from conversational experiences through orchestration and integrations. The team is centered on Microsoft Agent Framework (.NET), Azure OpenAI, and data capabilities across Snowflake, Databricks, and Microsoft Fabric, with an emphasis on reliability through testing and evaluation.

Responsibilities

• Deliver production-grade agent workflows end to end, covering conversational 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 for workflow edge cases 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.

Requirements

• 3+ years of professional software engineering experience, with meaningful production depth across front-end and back-end development.
• Strong proficiency in C# and .NET for server-side work, including modern .NET (8 / 9 / 10), async patterns, and dependency injection. This is required.
• 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, real reliability constraints, and real evaluations. Multi-step orchestration or agent experience is preferred over single-completion-call work.
• Demonstrated ability to learn unfamiliar frameworks quickly and produce production-grade code during that process (assessed in the technical screen).
• Strong grasp of API design, authentication, async patterns, and the tradeoffs between streaming and request-response.
• Working knowledge of Azure primitives including App Service / AKS / Functions, Key Vault, API Management, and Entra ID, with comfort writing IaC using Bicep.
• Experience writing evaluations for non-deterministic systems, including behavioral tests, regression harnesses, and human-rated samples.

Technologies

C#, .NET, TypeScript, React; Microsoft Agent Framework (.NET); Azure OpenAI; Snowflake, Databricks, Microsoft Fabric; AG-UI, CopilotKit, N8N; Azure, App Service, AKS, Azure Functions, Key Vault, API Management, Entra ID; Bicep (IaC); Semantic Kernel, AutoGen, .NET Aspire; Foundry Observability, Foundry Evals, Azure DevOps Foundry-evals extension; Make, Zapier; MCP (Model Context Protocol), A2A (Agent-to-Agent), MCP, A2A.

Preferred Qualifications

• Hands-on time with Microsoft Agent Framework, Semantic Kernel, or AutoGen. MAF being recently GA is noted, and depth is not required.
• Experience with .NET Aspire and Azure Functions hosting patterns for agents.
• Experience with AG-UI, CopilotKit, or similar agent or copilot UI frameworks.
• Experience with N8N, Make, Zapier, or comparable low-code and 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, including familiarity with reusable approaches.
• Exposure to enterprise identity patterns and data governance concepts including Entra ID / AAD, data classification, and DLP patterns.
• Familiarity with interoperability patterns for MCP and A2A.

Education

Bachelor's degree in Computer Science or related field, or equivalent professional experience.

Location and Work Model

Austin, TX (onsite)

Physical Requirements

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 are engaged in highly regulated gaming businesses; certain employees may be required to obtain gaming or other license(s), undergo background investigations or security checks, or meet standards dictated by law, regulation, or contracts.
• As a prerequisite to employment (to the extent permitted by law), consent to due diligence or background investigation may be required.
• This job description is not all-inclusive and may include other job-related tasks and responsibilities.