AI Engineer

UNITED STATES POSTAL SERVICE
New York, NY, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$95,000.0 - $140,000.0
Working hours
Regular working hours
Job source

Tech stack

Sql Data Warehouse Application Programming Interfaces (APIs) Artificial Intelligence Airflow Amazon Web Services Cloud Computing Continuous Integration Information Engineering Data Governance Data Infrastructure Data Systems Decision Support Systems
+14 more
Python (Programming Language) Machine Learning SQL Databases ReactJS Large Language Models Snowflake Multi-Agent Systems Prompt Engineering Backend Git AI Platforms Machine Learning Operations Front End Software Development Data Pipelines

Job description

  • 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 analysis’

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

You’ll join a small, collaborative team that builds the AI and data systems powering Monticello’s real estate finance operations.

What you’ll 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

You’ll 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

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 you’ve built and shipped AI solutions and are looking to own projects end to end, we’d like to hear from you - even if your experience doesn’t 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 candidates’ qualifications at the time of hire. Employees are eligible for a discretionary bonus based on employee work performance reviewed during the annual review process.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.juju.com
Prepare application

Good distractions

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