Diagnose where the product falls short, rigorously analyze root causes, build evaluations, and ship improvements that customers feel.
Work directly with customers to understand the problems deeply.
Design and refine tool-calling patterns and agent orchestration to handle multi-step research tasks that requires reasoning across thousands of related documents.
Build ingestion and normalization systems for complex structured documents at scale - millions of filings where formats vary and each version builds on the last.
Build and iterate on reinforcement fine-tuning harnesses, including training graders for research tasks with non-verifiable reward.
Develop tooling to measure, profile, and optimize agent pipeline performance - latency, cost, and quality across millions of calls.
Run experiments end-to-end: design, analyze, and translate into clear product recommendations.

Requirements

2 - 5 years of experience building software professionally, with strong programming fundamentals (we work mostly in Python).
Proficiency with LLM APIs, agent frameworks, and modern retrieval patterns. You stay current as the field moves. We don't need classical ML expertise - we need someone on the frontier of applied AI.
Strong track record of shipping high-impact work in ambiguity. You take a vague problem, define what 'good' looks like, ship a v0, and iterate.
Experience shipping user-facing products, either backend or full-stack.
Drawn to the question 'how do we know this is actually better?' - excited to build the evaluation infrastructure that answers it rigorously.
Curiosity over domain experience. No insurance background needed - you learn fast and care about understanding the problem space deeply.
Strong written and spoken English

Benefits

Competitive salary + annual bonus
Health insurance , Dental and Vision coverage (including spouse and family coverage)
401K Company match
Life insurance
Cell Phone & Internet reimbursement
25 days of PTO/year
Commuter benefit
Gym membership via ClassPass
IT equipment allowance
Professional development & trainings
Team fun: regular company gatherings and team events

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonLLM APIsagent frameworksreinforcement fine-tuningtool-calling patternsdata ingestiondata normalizationperformance optimizationexperiment designproduct evaluation

Soft Skills

problem-solvingcuriositycommunicationadaptabilityanalytical thinkingcollaborationiterationcustomer engagementambiguity managementcritical thinking