About the role
This is a high-ownership “do whatever it takes” role for someone who wants to operate at founder speed, learn the full stack of an insurance/warranty business, and ship work that directly moves revenue, conversion, and retention.
What you’ll do
You will build the agentic layer of our core product: AI systems that reason, take actions, and reliably complete workflows across pricing/underwriting, policy issuance, claims intake, adjudication, fulfillment (repair/replacement/reimbursement), and other parts of the bueinsess.
Key responsibilities
- Design and ship production-grade AI agents that run real business processes (not demos)
- Build agentic architectures: orchestration, tool calling, state machines, memory, permissions, audit trails, human-in-the-loop, and fallback paths
- Own our RAG platform end-to-end: ingestion, chunking, embeddings, retrieval, reranking, citations/grounding, and hallucination mitigation
- Build evaluation and monitoring systems: offline eval sets, regression tests, online metrics, drift detection, and red-team suites
- Implement model optimization: prompt systems, structured outputs, fine-tuning where appropriate, latency/cost optimization, caching, and throughput tuning
- Build core ML systems for warranty/claims: document understanding, extraction, classification, anomaly/fraud signals, decision support, and SLA routing
- Partner tightly with product/ops to translate real workflows into deterministic, testable, compliant automation
What you’ll build (examples)
- Underwriting/pricing agents: real-time quote decisions using merchant/product/context signals with strict guardrails and auditability
- Claims copilot + auto-adjudication engine: intake triage, evidence requests, decision proposals with explanation, vendor routing, reimbursement automation
