What We’re Looking For

Core Skills

10+ years Strong foundation in applied machine learning, NLP, or information retrieval.
Real-world production experience building and deploying AI/LLM-powered systems (not just prototypes or research).
Proficiency with Python, Pandas, and SQL; experienced in data wrangling at scale.
Experience designing evaluation frameworks or structured output pipelines.
Hands-on work with embeddings, vector databases, and retrieval-augmented generation.
Ability to combine first-principles thinking with a bias for fast, pragmatic delivery.
Ability to explain how the attention mechanism in transformers works, and how that understanding influences prompt design, context structuring, and debugging in real-world LLM applications
Background in insurance or financial services data.
Familiarity with compliance-heavy environments (SOC 2, HIPAA, GDPR).
Cloud experience (AWS or Azure) and exposure to MLOps.
Knowledge of LangChain, LangGraph, or orchestration frameworks.

Who You Are

You thrive in a fast-moving startup environment and are comfortable with ambiguity.
You care about building trustworthy, production-ready AI systems — not just demos.
You like working across disciplines and see data science as a team sport.
You’re curious, rigorous, and confident enough to challenge assumptions.

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