The RoleWe 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.
What We're Looking ForRequired Skills and Experience- 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.
Our Culture & BenefitsWe believe that breakthrough results are driven by breakthrough experiences. Our culture is built on a foundation of freedom, high performance, and our seven core values.
Our Core Values- AI native - We use AI as a natural extension of our abilities to deliver faster, smarter, and better work.
- Delivering joy - We underpromise and overdeliver, creating delight for our clients and our team.
- Smooth & fast - We believe speed is the result of precision, flawless systems, and calm execution, not frantic effort.
- Selfless - We proactively make work easier for others and measure our success by the success of the team.
- Candid - We are direct, honest, and clear with each other, believing that transparent feedback is a gift.
- Pursuing excellence - We are obsessed with quality and empower each other to break through boundaries and set new standards.
- Ever evolving - We are relentlessly curious and improve every single week, sharing our learnings openly to elevate the entire organization.
Benefits & Perks- 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.