Applied Ai Leader

The Role

We are looking for a hands-on Applied AI Leader who will own the design, training, and deployment of our core AI systems. This role is execution-heavy: building models, writing code, designing pipelines, debugging failures, and shipping production AI. You will directly build and scale LLM-based extraction, classification, summarization, reasoning, and agentic systems that power the end-to-end Tax Autopilot workflow. If you want to build, train, fine-tune, evaluate, and ship—this role is for you.

What You Will Do

Model Development (Hands-On)

• 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.

Production Engineering

• Own end-to-end model deployment into production environments.
• Build and maintain training pipelines, inference services, and monitoring systems.
• Debug real-world performance issues across data, models, retrieval, and orchestration.
• Drive continual improvement through tight iteration loops on accuracy, speed, and cost.

Execution & Ownership

• Translate ambiguous operational and product problems into concrete ML approaches.
• Ship production-ready Python and service code—no hand-off to others.
• Work directly with engineering to integrate models deeply into application workflows.
• Prioritize high-impact improvements and cut what doesn't matter.