# Applied AI/ML Engineer

**Company:** [Confido Legal](https://hotfix.jobs/companies/confido-legal)
**Location:** New York, NY
**Role:** ML Engineering
**Salary:** $200k – $250k/yr
**Experience:** 5+ years
**Skills:** LLMs, Agentic Workflows, time-series forecasting, Statistical Modeling, gradient-boosted models, prophet, arima, RAG, information extraction, Anomaly Detection, entity reconciliation, evaluation monitoring, Python, Data Engineering
**Posted:** 2026-08-14

> Build and productionize applied AI/ML systems for document understanding, agentic workflows, and demand forecasting using rich, messy enterprise data. The role requires 3+ years of production AI/ML experience, strong evaluation and monitoring practices, and a STEM master’s degree.

## Job Description

## 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.

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