Agentic AI Engineer - Kennesaw, GA

About Us

United Contractor Services (UCS) is a national specialty subcontractor and a Top 50 Walls and Ceilings contractor in North America. We self-perform commercial interior construction across metal framing, drywall, acoustical ceilings, EIFS, stucco, painting, and Division 8 & 10 Specialties. As we continue to grow across multiple markets, we're looking for an Agentic AI Engineer to help us continue our growth.

About the Role

We operate a portfolio of businesses united by a single belief: technology, applied well, is a competitive advantage. We run a modern stack-Microsoft 365, Entra , Intune, Azure (Functions, Table Storage, Entra Domain Services), Procore, and custom integrations built on  and the Microsoft Graph. We are now investing in agentic AI as a first-class capability across our operating companies, and we are hiring an Agentic AI Engineer to build it.

This is a builder role. You will design, ship, and maintain production AI agents that automate real business processes-document intake, data extraction, system-to-system synchronization, internal copilots, decision-support tools, and workflow orchestration-across multiple business units. You will work directly with the Director of Technology and have a clear line of sight from problem to deployed solution. We are not looking for a PowerPoint AI strategist.

We are looking for someone who writes the code, ships the agent, and owns the outcome.

This position is not eligible for visa sponsorship now or in the future.

What You'll Do

* Design and build production agentic AI systems: tool calling, multi-step reasoning, sub-agent orchestration, memory, retrieval, and human-in-the-loop checkpoints.

* Partner with leadership and operators across our business units to identify high-value automation opportunities and translate them into shipped agents.

* Build and maintain integrations across our existing stack-Microsoft Graph, Entra, SharePoint, Teams, Procore, Azure Functions, , and third-party APIs.

* Develop rigorous eval pipelines and observability for every agent in production-cost monitoring, quality tracking, failure-mode detection, and regression testing.

* Implement secure agent identity and authorization patterns: managed identities, service principals, OAuth2 flows, least-privilege Graph permissions, and audit logging.

* Establish and uphold AI governance standards across our entities-data handling, model selection, prompt management, version control, and rollback procedures.

* Document architectures and decisions clearly so the systems you build outlive any single engagement.

* Stay current on the agentic AI landscape (Claude, OpenAI, Azure AI Foundry, Copilot Studio, Lang Graph, MCP, etc.) and make pragmatic platform recommendations.

What You Bring

Required

* 3-5 years of professional software engineering experience, with at least 1 year shipping production AI/LLM systems (not prototypes, not demos).

* Strong proficiency in Python and/or Type Script.

* Hands-on experience with at least one major agent framework or SDK:
Anthropic Claude SDK, OpenAI Agents SDK, Lang Graph, Vercel AI SDK, Semantic Kernel, or Azure AI Foundry.

* Real experience building and interpreting eval harnesses. You can show us how you measure whether an agent is working.

* Working knowledge of the Microsoft cloud stack:
Azure Functions, Microsoft Graph API, Entra  registrations, OAuth2, and managed identities.

* Backend and integration engineering chops: REST APIs, webhooks, queues, state management, and authentication patterns.

* Strong written communication and the ability to explain trade-offs to a technical leader making investment decisions.

* Comfortable working on-site in Kennesaw, GA.

Strongly Preferred

* Production experience with Microsoft Copilot Studio, Power Automate, or Azure AI Foundry.

* Experience with Model Context Protocol (MCP) servers or comparable tool-server architectures.

* Familiarity with retrieval-augmented generation (RAG) over enterprise document stores (SharePoint, One Drive, Confluence, etc.).

* Experience working in a multi-entity or multi-tenant environment with cross-cutting identity and data concerns.

* Dev Ops/IaC exposure:
Bicep, Terraform, Git Hub Actions, or Azure Dev Ops pipelines.

* Familiarity with construction-tech (Procore, Bluebeam, etc.) or with verticalized SaaS integrations.

Nice to Have

* Cybersecurity or compliance background-particularly around AI governance, data classification, or zero-trust principles.

* Open-source contributions to agent frameworks or developer tools.

* Prior experience as the first or second AI hire at an organization.

How You'll Be Measured

* Time-to-production for new agents and automations.

* Measurable business impact: hours saved, cycle time reduced, error rates lowered, revenue accelerated.

* System reliability: uptime, eval pass rates, cost efficiency, and incident response.

* Quality of the engineering foundation: maintainability, documentation, security posture, and knowledge transfer.

Why This Role

* Direct reporting relationship…