AI/ML Engineer

Future Works is building an AI agent system for a large enterprise client to manage a complex transaction workflow from initial engagement through close-out. The AI/ML Engineer will build agent capabilities, integrations, and data pipelines, and validate end-to-end workflow execution with human approval gates.

Responsibilities:

• Per-Stage Agent Build: Implement agent capabilities for individual workflow stages (for example engagement agreement generation, needs-assessment brief, market survey and long-list scoring, tour management, RFP and proposal analytics, lease abstraction, and close-out and invoicing), building to the orchestration model and stage handoff protocols defined by the Lead Architect
• Tool & Integration Development: Build the typed tools the agents call: template population, market-data query, financial analytics (NER, TI, free rent, NPV), clause and lease-clause extraction, and document assembly
• Data Pipelines: Build and maintain pipelines against sandbox and representative sample data, including the property availability data source
• Human-in-the-Loop Implementation: Encode the approval gates and review checkpoints specified by the architect, so binding steps always route through a broker confirmation
• Quality & End-to-End Testing: Validate components against deal-scenario data and participate in end-to-end testing across all eight stages, checking artifact quality and stage handoff integrity
• Build-Phase Readiness: Participate in Phase 1 architecture workshops to ensure the build starts on solid foundations