[Hiring] AI/ML Engineer @Future Works

Role Description

We are running an engagement to design and build an AI agent system that manages a complex, high-value transaction workflow for a large enterprise client, from initial engagement through close-out, across a multi-stage process.

As an AI/ML Engineer, you will build agent capabilities in parallel during the build phases, working under the Lead AI/Agent Architect. You will implement the tool integrations, data pipelines, and per-stage agent components that let a full transaction scenario run end to end against sandbox data. Working alongside the Lead Architect, a Lead Business Analyst, and QA, you are accountable for working software: given a new transaction scenario within the client's domain, your components produce the correct artifacts at each assigned stage and request human confirmation only at the documented intervention points.

Key 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.

Qualifications

• 4+ years in software or machine learning engineering, with production experience building LLM-powered features or agents.
• Agent Tooling: Hands-on experience with agent frameworks, tool and function calling, retrieval, and prompt engineering.
• Python & Data Engineering: Strong Python and practical experience building data pipelines and integrating structured and unstructured data sources.
• Document Processing: Comfort parsing, extracting, and generating documents across formats such as PDF, DOCX, and structured templates.
• Financial & NLP Depth: Experience implementing financial analytics (lease economics, NPV, scenario modelling) and NLP information extraction (clause and entity extraction from contracts or leases) is strongly preferred.
• Domain Exposure: Exposure to commercial real estate or another document-heavy transaction domain is a plus.
• AI-Native Workflow: Comfort utilizing LLM code assistants and agentic engineering to ship faster and with higher quality.
• Agile Execution: Ability to move quickly in hypothesis-driven, milestone-based sprint cycles, shipping working components and iterating against real evidence.

Benefits

• Work from anywhere, forever - We are a fully remote and global team. We trust you to manage your time and energy to deliver exceptional results.
• Connect deeply - We gather for immersive, all-expenses-paid company retreats in unique locations to connect, learn, and grow together.
• Share in the upside - A competitive compensation package including equity, bonuses, substantial participation in company profits with a clear growth path to C-Level leadership based on performance.