AI Engineer

Title: AI Engineer

Location: Remote

Our client is looking for an AI Engineer to design, build and maintain the AI agents and automations that make everyday operations and accounting work faster, more accurate and easier to scale. The client is a commercial real estate investment firm that has grown its portfolio in recent years, and this role brings AI into how the team works. This is a builder role, not a research role. The engineer starts with operations and accounting, then extends proven automations to asset management, property management, acquisitions, investor relations and other teams. The position is newly created and reports directly to the company's founder and CEO. Responsibilities Map, simplify and automate core operational workflows such as task and deadline tracking, critical dates, document management, approvals and team reporting. Build agents for recurring coordination work: email triage and drafting, meeting notes and action items, calendar and follow-up reminders, and status summaries. Build AI-assisted accounts payable workflows: invoice intake, data extraction, GL coding suggestions, approval routing and filing. Automate recurring accounting tasks such as bank and credit card reconciliation support, AR follow-ups and month-end close checklists. Automate data pulls from property accounting exports and support the monthly reporting cycle. Design and deploy multi-step AI agents across departments, such as lease abstraction, due diligence tracking and investor reporting support. Build and maintain integrations across core systems, including Microsoft 365, Dropbox, Notion, Smartsheet, HubSpot, Yardi and InvestNext. Test every agent for accuracy before and after go-live, keep human review for anything that moves money or changes financial records, and monitor agents in production. Document every workflow with clear SOPs, train team members on new tools, and report progress and hours saved to leadership. Within the first 90 days: ship a working automation in operations and one in accounting, launch a first accounting agent with a documented human review step, and present a 12-month AI roadmap to leadership. Requirements At least 3 years of software engineering, automation or data engineering experience. Proven experience building and deploying LLM-powered applications or AI agents in production, with a portfolio or examples. Strong proficiency in Python and/or TypeScript/JavaScript. Experience with LLM APIs and frameworks such as Anthropic/Claude and OpenAI, including tool use and function calling. Experience integrating business systems through REST APIs, webhooks and automation platforms. Experience extracting and processing data from PDFs, Excel files and scanned documents. Solid grasp of data security and access control when handling sensitive financial data. Excellent written and verbal English communication skills. Able to work independently in a remote environment with substantial overlap with U.

S. Eastern Time business hours. An ownership mindset with a commitment to accuracy, documentation and continuous improvement. Qualifications The ideal candidate is a practical, business-minded engineer who turns messy manual processes into clean, dependable systems and works comfortably with non-technical teammates. Experience improving operations processes is strongly preferred. Commercial real estate, AP/AR or Yardi experience is a plus. MCP and RAG experience is a strong plus. Soft skills Works clearly with non-technical teammates. Takes ownership and keeps accurate documentation. Stays accountable while working independently.

Benefits

Full-time position. 100% remote. Opportunity to build and deploy AI systems for an established and growing U.

S. commercial real estate organization.