Applied AI/ML Engineer

Responsibilities

• Build LLM systems that turn complex, inconsistent financial documents into clean, typed, validated data.
• Design agentic workflows that retrieve and reason over fragmented enterprise systems, with evaluation harnesses and guardrails for production use.
• Build and improve demand forecasting across thousands of intermittent series using classical time-series and gradient-boosted models, rolling-origin backtesting, and best-fit selection.
• Work with messy real-world data, including baselining, outlier and anomaly detection, entity reconciliation, and ingestion across heterogeneous sources.
• Own success measurement through evaluation datasets, benchmarks, and monitoring for systems without a single correct answer.

Requirements

• 3+ years of applied AI/ML experience with systems taken to production, not just prototypes.
• Depth in at least one and working fluency across several of the following: time-series forecasting and statistical modeling, LLM and agentic systems, and large-scale messy-data engineering.
• Experience building evaluation and monitoring systems, selecting reliable metrics, and avoiding leakage and train/serve skew.
• Strong product sense and the ability to turn AI capabilities into real outcomes while recognizing when simpler approaches are preferable.
• Master's degree in STEM.

Nice-to-haves

• Demand forecasting or time-series experience, including Prophet, ARIMA-family models, or gradient-boosted models.
• Production experience with agentic workflows, RAG, or retrieval systems.
• Document understanding or information extraction from unstructured sources.
• Startup experience or comfort working in fast-moving environments.

Compensation and Benefits

• Equity.
• Fully paid employee health coverage through Aetna.
• Dental and vision coverage through Guardian.
• Carrot Fertility Pro fertility and family-forming support.
• 12 weeks of paid parental leave.
• Unlimited PTO and regular four-day holiday weekends.
• 401(k) through Vestwell.
• Paid relocation support.
• Fully equipped workspace, including a laptop, monitor, keyboard, and a $200 personalization stipend.
• Catered Friday lunches, team dinners, and unlimited coffee and snacks.