AI Engineer
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Role details
Tech stack
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Job description
MONTICELLOAM, LLC and its affiliates (βMonticelloβ) is a real estate and asset-based lender providing asset management and comprehensive capital solutions for healthcare, multifamily, and commercial real estate assets throughout the US. Monticello is seeking team players who can work in a collaborative environment and possess drive, integrity, creativity, compassion, and a strong work ethic.
Weβre looking for an AI Engineer to build and deploy intelligent systems across asset management, underwriting, and business intelligence: from document extraction pipelines to AI-powered internal tools to autonomous workflows that reduce manual work across the business., * Large Language Models (via AWS Bedrock) for document extraction, analysis, and autonomous decision support
- RAG architecture, prompt engineering, and agent-based workflows
- Python as the backbone for everything: AI pipelines, automation, backend services, and data engineering
Data Platform
- Snowflake as our cloud data warehouse
- DBT for modular, version-controlled data transformations
- Airflow for orchestration and workflow automation
- SQL for data modeling and analysisβ
Infrastructure & Delivery
- AWS for cloud infrastructure and services
- React for front-end interfaces and internal tools
- Git for version control and CI/CD
About Your Team
Youβll join a small, collaborative team that builds the AI and data systems powering Monticelloβs real estate finance operations.
What youβll own:
- Designing and building AI pipelines that extract structured data from unstructured documents - loan files, appraisals, financial statements, invoices
- Building full-stack internal tools (React + Python APIs) that put AI capabilities directly in front of business users
- Developing RAG systems, AI agents, and automated workflows that reduce manual work across asset management
Youβll also contribute to:
- Data pipelines and warehouse architecture (Snowflake, Airflow, dbt)
- Data quality frameworks and automated QC processes
- Dashboards and reporting that drive portfolio decisions
Requirements
Artificial Intelligence (AI), Commercial Real Estate, Asset Management, Real Estate, Loans, Healthcare, Team Player, Business Intelligence, Artificial Intelligence (AI), Underwriting, Core:
- Experience building and deploying AI/ML solutions end to end
- Strong Python skills across AI/ML, data engineering, and backend services
- Hands-on experience with LLMs - agent orchestration, prompt engineering, RAG architecture, document extraction pipelines
- Familiarity with cloud AI services (AWS Bedrock preferred)
Also valuable:
- SQL and data modeling experience (Snowflake, dbt)
- Front-end development with React
- Experience working directly with non-technical stakeholders
We welcome applicants from a variety of educational and professional backgrounds. If youβve built and shipped AI solutions and are looking to own projects end to end, weβd like to hear from you - even if your experience doesnβt match every bullet.
What We Value
- Intellectual curiosity and a passion for solving complex problems.
- Balancing technical quality with practical business impact.
- An entrepreneurial mindset and creative approach to innovation and continuous improvement.
About the company
At Monticello, we believe that finding creative solutions for our clients comes from the collaboration of people with diverse backgrounds and perspectives. We strive to build an inclusive work environment that celebrates differences and empowers all individuals with opportunities to channel their entrepreneurial spirit. Monticello is an EEO employer.
Monticello offers a competitive base salary and bonus. The base salary range for this position is $95,000-$140,000/year. The specific compensation that will be offered is based on an understanding of the hired candidatesβ qualifications at the time of hire. Employees are eligible for a discretionary bonus based on employee work performance reviewed during the annual review process.
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