Applied AI Leader: Build & Ship Tax Automation AI

Black Ore; New York (NY); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive salary and equity

Employer-paid medical, dental & vision

HSA & FSA

401K & Roth 401k

Unlimited PTO

Relocation support

WFH stipend

Job summary

Black Ore is building a leading AI platform designed to accelerate financial services. We are seeking a hands-on Applied AI Leader to own the design, training, and deployment of our core AI systems for the Tax Autopilot workflow.

This is an execution-heavy role focused on building models, writing code, and shipping production AI. You will directly build and scale LLM-based extraction, summarization, classification, and agentic systems, collaborating with engineering to deeply integrate models

Qualifications

• 8–12+ years building and shipping ML/LLM systems in production.
• Strong experience in summarization, classification, extraction, and NER.
• Direct experience training, fine-tuning, evaluating, and deploying LLMs.
• Expert Python + PyTorch; able to own full ML pipelines independently.

Responsibilities

• Design and implement NLP/LLM systems for extraction, summarization, classification, and NER.
• Fine-tune, distill, and optimize LLMs for tax-domain tasks.
• Build evaluation frameworks, datasets, and automated testing pipelines.
• Implement prompt engineering, retrieval strategies, and agent workflows.
• Build and maintain training pipelines, inference services, and monitoring systems.
• Ship production-ready Python and service code—own the path end-to-end.

Skills

8–12+ years ML/LLM systems

Summarization

Classification

Extraction

NER

LLM training/evaluation

Python

PyTorch

Fast iteration

Debugging across stack

Tools

Python

PyTorch

Job description

Black Ore is building a leading AI platform designed to accelerate financial services. We are seeking a hands-on Applied AI Leader to own the design, training, and deployment of our core AI systems for the Tax Autopilot workflow.

This is an execution-heavy role focused on building models, writing code, and shipping production AI. You will directly build and scale LLM-based extraction, summarization, classification, and agentic systems, collaborating with engineering to deeply integrate models