AI Product Engineer (Full Stack)

Quick Facts

• Department: Information Technology, Data & AI

• Reports to: Sr. Director, Data & AI

• Work model: Hybrid (Dallas/Las Colinas office)

Description

Build end-to-end applications and AI agents that put company data and AI to work for field, office, and operational teams. Design, build, deploy, and support production-grade solutions—reliable, secure, tested, and monitored—integrated with Microsoft and business systems. You will own each solution across its lifecycle and collaborate with Data & AI governance and IT/security on architecture and standards.

Responsibilities

• Design and build web and mobile-friendly applications (front ends, APIs, data access layers) for internal users

• Create AI user experiences (chat, review/approval, task-focused workflows)

• Integrate with Microsoft Fabric, Azure AI services, and operational systems (e.g., Salesforce, on-prem Business Central, Dayforce)

• Choose when to use Power Apps or Copilot Studio vs. custom code

• Build AI agents and multi-step workflows with tool calling and structured outputs

• Create secure integrations using Microsoft Graph, Fabric, internal APIs, and MCP servers where appropriate

• Build shared templates, connectors, and components to accelerate delivery

• Develop evaluation sets and automated tests to measure accuracy, task completion, and failure modes

• Implement safety guardrails (least-privilege access, human approval for consequential actions, filtering, prompt-injection protection)

• Partner with governance and security for data access, auditability, and responsible AI standards

• Prototype with users and iterate based on feedback

• Build and deploy on approved Azure services; implement authentication/authorization with Microsoft Entra ID

• Maintain CI/CD pipelines, automated tests, and dev/test/prod environments

• Own applications and agents post-launch: monitoring, bug fixes, dependency/security updates, and enhancements

• Create documentation and runbooks; track usage and value to recommend improvements

• Use AI-assisted development while maintaining engineering quality and security

Requirements

• 5+ years of professional full stack development experience with production applications

• 1+ years building LLM-powered features/agents used in production (tool calling, structured outputs, RAG, multi-step workflows)

• Strong React + TypeScript experience

• Strong back-end experience in C#/.NET, Python, or Node.js with REST API design

• Experience building evaluation sets and automated tests for AI features

• Experience with relational databases and SQL

• Experience deploying and operating applications on Azure or another major cloud platform

• Experience with authentication and authorization (ideally Microsoft Entra ID) using OAuth 2.0 and OpenID Connect (service principals/managed identities)

• Experience with Git, CI/CD pipelines, and automated testing

• Ability to work with non-technical users to create simple, usable interfaces

• Ability to work independently in a small team with evolving priorities

• Must be legally authorized to work in the United States without current or future employer sponsorship

Benefits

• Opportunity to be the first product engineer on a fast-growing Data & AI team and shape how applications and agents are built

• Small, senior team with strong ownership and direct access to business leaders

• Current AI tooling across the Microsoft stack and Claude, with a governance-first enabling model

• Work that directly supports real-world business estimating, scheduling, and delivery