We are building an AI-powered operation from the inside out, and we need an internal AI Engineer to make it happen. This is not a research role. This is a build-and-deploy role. You will be embedded with our teams to identify operational bottlenecks, design AI agent solutions, and ship working automations that save time, eliminate errors, and help us scale.
Requirements
- Design, build, and deploy AI agents tailored to specific departmental workflows across CDS
- Develop and maintain custom GPTs, Claude projects, and similar LLM-based tools using platforms such as OpenAI, Anthropic, and Cohere
- Architect multi-step automation workflows using Make.com, Zapier, n8n, or similar orchestration tools
- Build intake forms, triggers, and conditional logic to route information to the right agent at the right time
- Collaborate directly with PH1/PH2 (Due Diligence & Permitting) to build AI pipelines for municipality research and report analysis
- Partner with Estimating to develop AI-assisted bid review, scope gap detection, and subcontractor qualification tools
- Work with HR to implement resume screening AI workflows, scoring rubrics, and candidate ranking systems
- Support Finance with automated AP tracking, cash flow dashboards, and expense anomaly detection
- Assist Business Development with outreach sequencing, portfolio maintenance automation, and CRM-connected workflows
- Connect AI agents to CDS's existing tools — Procore, Smartsheet, Harvest, and others — via APIs and webhooks
- Integrate with Google Workspace (Gmail, Drive, Calendar) and communication platforms (Slack, email) as needed
- Ensure data flows cleanly between systems with appropriate error handling and logging
- Document all agents, workflows, and automations clearly so the team can understand and maintain them
- Train department leads and team members on how to use and prompt AI tools effectively
- Build a library of prompt templates and SOPs tailored to CDS workflows
- Monitor agent performance, identify failure points, and iterate rapidly
- Stay current on emerging AI tools, models, and platforms — bring recommendations to leadership
- Measure time saved, errors reduced, and output quality improved across deployed agents
Benefits
- Competitive salary
- Flexible schedule
- Training & development
