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Onsite or remote • Washington DC+2🌐 Remote💼 Full-time🗓 2026-06-25

Core

Building 0-to-1 production infrastructure connecting contractors, insurers, and lenders to deliver verified resilience upgrades for property owners.

Role type

Full-stack engineer (0-to-1 build)

Builds

Python-based backend services, cloud infrastructure, data workflows, and a lightweight partner-facing web interface

Domain

Disaster resilience, property insurance, construction

Deliverable

production ML models | product features | infrastructure

Required skills

Python (FastAPI/Flask), AI/LLM API integration, cloud deployment (AWS/GCP/Azure), data pipeline handling, security basics, frontend (React/HTMX)

Preferred skills

Insurance/construction domain knowledge, document processing/CV APIs, solo-engineer experience

Technologies

Python, FastAPI, Flask, React, HTMX, AWS, GCP, Azure, Anthropic, OpenAI

Responsibilities

Design and ship web services, integrate AI APIs into workflows, handle structured/unstructured data, stand up security foundations, deploy to partners

Seniority

Early-stage, high ownership

Rewrite
## About the Role You'll be responsible for turning early-stage prototypes into production infrastructure. This is a 0-to-1 build: limited inherited codebase, no legacy system. You'll own the full stack—backend services, cloud infrastructure, data workflows, and a lightweight partner-facing web interface. The work spans building and deploying Python-based backend services, integrating AI APIs into real workflows, handling structured and unstructured data reliably, and standing up the security foundations our product requires. You'll ship working software to real partners early and iterate based on their feedback. You'll work closely with the CEO and Zephyr's Head of Analytics—who built the initial prototype—and with domain experts across insurance and construction. Expect a small, fast team with significant ownership and direct access to end users from day one. ## Who You Are You're a full-stack engineer who ships. You're comfortable in early-stage ambiguity, you've built something from scratch before, and you care more about getting the product into users' hands than about having a perfect spec. ## Must-Haves - Python backend experience. FastAPI, Flask, or similar. You can design and ship a web service. - AI / LLM API integration. Hands-on experience calling AI APIs (Anthropic, OpenAI, or comparable)—structured outputs, prompt engineering, and integrating model responses into product workflows. - Cloud deployment fundamentals. You can provision, deploy, and monitor a small service on AWS, GCP, or Azure. - Data handling at scale. Object storage, streaming uploads, chunking. You know how to move data through a pipeline reliably. - Security basics. Auth, encryption at rest and in transit, secret management, audit logging. Not a security engineer, but you build secure-by-default. - Light frontend capability. React, HTMX, or similar—enough to stand up a functional partner-facing UI. - Startup comfort. You can operate without a PM, a handoff doc, or a fully scoped ticket. ## Nice-to-Haves - Insurance, construction, or inspection domain experience - Experience with document processing or computer vision APIs - Prior solo-engineer or founding-engineer experience at an early-stage company ## Not Required
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