As the  AI/ML Engineer, you’ll lead the development of our core machine learning systems. You’ll fine-tune large language models (LLMs), build NLP pipelines, automate insurance workflows, and implement user feedback loops for continual model improvement.

This is a role for someone who’s not afraid of ambiguity, gets energy from building things that don’t exist yet, and wants to work on meaningful problems with a small, fast-moving team.

You’ll also collaborate deeply with the founders (CEO & CTO) to help define the company’s technical direction.

Responsibilities:

• Natural Language Processing & Understanding:** Build and fine-tune NLP systems to extract structured data and insights from dense, jargon-heavy insurance documents.
• Lead the development and fine-tuning of large language models tailored to our domain.
• Architect training workflows that use user feedback and corrections to continually improve model performance.
• Apply computer vision to extract data from PDFs, scanned documents, and other unstructured formats.
• Build intelligent agents that interact with complex web interfaces using tools like Playwright or Selenium, and a strong understanding of DOM structures.
• Design robust evaluation pipelines and performance metrics for all models.
• Help architect scalable systems to support training, inference, and feedback pipelines.
• You’ll be building core systems from scratch—there’s no blueprint, and that excites you.
• Work directly with the founding team and early users to shape what we build—and how we build it.

Qualifications:

• 5+ years with Python development experience
• 3+ years experience as a AI/ML Developer.
• JavaScript / Node.js / React
• Experience with Mongo DB and AWS
• Clarity is a mess and keeps momentum even when things are uncertain.
• Clearly articulate problems, solutions, and tradeoffs with both technical and non-technical folks.