{"id":917474,"url":"https://alion.io/job/monticelloam-ai-engineer","title":"AI Engineer","company":{"id":679709,"name":"MonticelloAM","domain":"monticelloam.com","url":"https://alion.io/company/monticelloam","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":80,"open_postings":5,"ghost_share":0,"stale_share":0.8,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-08T05:47:12Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":95000,"max":140000,"currency":"USD","period":"year","gross":null,"usd_annual":140000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Git","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-02-09T20:25:58Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-11-08T21:55:43Z","board_verified":true,"closed_at":null,"days_open":272,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":271},"description":"MONTICELLOAM, LLC and its affiliates (“Monticello”) 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.\nWe're 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.\nThis role is fully in person. Candidates must be able to work onsite at our New York City office.\nOur Tech Stack\nAt Monticello, we build and operate our data platform using modern, scalable technologies. As an AI Engineer, you’ll work hands-on with:\nAI & Machine Learning\nLarge Language Models (via AWS Bedrock) for document extraction, analysis, and autonomous decision support\nRAG architecture, prompt engineering, and agent-based workflows\nPython as the backbone for everything: AI pipelines, automation, backend services, and data engineering\nData Platform\nSnowflake as our cloud data warehouse\nDBT for modular, version-controlled data transformations\nAirflow for orchestration and workflow automation\nSQL for data modeling and analysis’\nInfrastructure & Delivery\nAWS for cloud infrastructure and services\nReact for front-end interfaces and internal tools\nGit for version control and CI/CD\nAbout Your Team\n\nYou'll join a small, collaborative team that builds the AI and data systems powering Monticello's real estate finance operations.\nWhat you'll own:\nDesigning and building AI pipelines that extract structured data from unstructured documents - loan files, appraisals, financial statements, invoices\nBuilding full-stack internal tools (React + Python APIs) that put AI capabilities directly in front of business users\nDeveloping RAG systems, AI agents, and automated workflows that reduce manual work across asset management\nYou'll also contribute to:\nData pipelines and warehouse architecture (Snowflake, Airflow, dbt)\nData quality frameworks and automated QC processes\nDashboards and reporting that drive portfolio decisions\nQualifications\nCore:\nExperience building and deploying AI/ML solutions end to end\nStrong Python skills across AI/ML, data engineering, and backend services\nHands-on experience with LLMs - agent orchestration, prompt engineering, RAG architecture, document extraction pipelines\nFamiliarity with cloud AI services (AWS Bedrock preferred)\nAlso valuable:\nSQL and data modeling experience (Snowflake, dbt)\nFront-end development with React\nExperience working directly with non-technical stakeholders\nWe 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.\nWhat We Value\nIntellectual curiosity and a passion for solving complex problems.\nBalancing technical quality with practical business impact.\nAn entrepreneurial mindset and creative approach to innovation and continuous improvement.\nAt 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.\nMonticello 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. 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