Job Description

You will own the Django backend, MongoDB schemas, and the Flutter UI that connects them. Our AI pipeline lead handles the Gemini orchestration — your job is to own the data layer, build the API surface, and wire it directly into the offline-first client. This is not drawing backend diagrams. You must be an end-to-end builder who cares about how a civilian interacts with the system on the ground in a crisis. A bug in this system isn’t a 500 error — it’s a missed warning in a conflict zone. Must have: Python/Django, MongoDB, Flutter (or high competence to pick it up fast), and system design thinking. Strong plus: DevOps (Docker, AWS), LLM integration, OSINT, geospatial. We also welcome strong full-stack implementation engineers who ship fast and want founding-team equity. Same stack. Compensation details include sweat equity now (12-18% SAS/5-10% FSD vesting over 4 years with 1-year cliff), pre-seed salary options ($3,000/month + equity), and seed-stage salary near 75% of market + equity.