Flutter is used by millions of devs (and nearly ⅓ of free apps submitted to AppStore), but is missing services for businesses. I built Flutter at Google. Now we’ve built a company selling services to 1000s of Flutter-using businesses globally, on track to profitability this year.
We serve 100s of millions of devices from our cloud, (2k+ RPS sustained), built mostly in Dart on Google Cloud + CloudFlare. We’re in the process of launching a series of CI offerings and have a lot of cloud development work ahead of us. You need production cloud experience, want to work at a startup, and be up for the challenge of owning, developing, and expanding Shorebird’s cloud infrastructure and backend services including code, configuration, architecture, and more. Previous Dart experience is not required.
We’re a small, senior team, making something people want. Tech: GCP, Cloudflare, Dart, Postgres, a little React & Node. Shorebird operates almost entirely in the public over Discord. https://discord.gg/shorebird
We build real-time civilian threat intelligence for conflict zones. Multi-model AI pipeline (Gemini 3 Pro / Flash) ingests OSINT from verified sources, runs it through a gated verification system, and pushes geolocated alerts to offline-first mobile clients. Think of it as a personal intelligence analyst for non-combatants — on a phone that works on 2G.
This is not a pitch deck. We have a working system (v1.0.34): backend is live, Flutter apps are approved on both App Store and Play Store, multi-gate AI pipeline is processing real OSINT, admin console has human-in-the-loop verification for high-severity alerts, and we just made our first hire. 73 candidates vetted, 1 accepted (Senior AI/Backend Engineer — now owns the AI verification pipeline). Pre-seed is imminent with multiple NGO grant applications under review (WFP, IRC Airbel, DRK Foundation).
*We need one person:*
*Systems Architect / Founding Backend Engineer* You will own the Django backend, MongoDB document schemas, and infrastructure that everything else runs on top of. Our AI pipeline lead handles the Gemini orchestration — you own the data layer, the API surface, the deployment pipeline, and the system design that makes it all reliable at scale. A bug in this system isn't a 500 error — it's a missed warning in a conflict zone.
Must have: Python/Django (production), MongoDB, system design thinking. Strong plus: DevOps (Docker, AWS), LLM integration, Flutter, OSINT, geospatial.
We also welcome strong full-stack implementation engineers who ship fast and want founding-team equity. Same stack.
*Compensation (No BS):*
- Now: Sweat equity (12-18% SA / 5-10% FSD, 4yr vest, 1yr cliff). This is founding-team ownership. - Pre-Seed (closing): $3,000/month + equity. - Seed (6-12 months): 75% market salary + equity. Increases from there.
If you need full salary today, this is not for you. If you want to build something where the stakes are real and you're willing to bet on yourself to get there — we should talk.
*Stack:* Python 3.9+, Django 4.1.13, MongoDB, Flutter, Vertex AI (Gemini 3 Pro / 2.5 Flash / 3 Flash Preview), Docker, AWS.
*Apply:* PeterJFrancoIII@gmail.com — Resume or GitHub + what you'd build in your first week.
We are building mobile products with a small, fast team and want a Flutter developer who is unusually strong at directing AI-driven software delivery. This is not a traditional "write the code yourself" role. We want someone who can decompose product and technical work clearly, set up coding agents and containerized environments so they can run independently, let them execute with very wide autonomy, and then use AI again to review, challenge, and validate the resulting commits. The standard here is technical excellence without manual coding as the primary lever. 100x engineering is the norm.
You might be a fit if you:
- are deeply experienced with Flutter and mobile product development
- are comfortable leveraging AI agents to plan, implement, test, and commit code with minimal guardrails
- can use AI-based review workflows to inspect commits, spot regressions, and maintain quality without doing line-by-line manual coding yourself
- have strong product and engineering judgment, and can tell when an AI-generated solution is structurally right vs. superficially plausible
- own and regularly use both a physical Android device and a physical iPhone/iPad for live app testing
- are familiar with provisioning, signing, installing, debugging, and validating Flutter apps on real devices, not just simulators
We care a lot about velocity, correctness, and taste. We are specifically looking for someone who can treat AI as the execution layer while still owning architecture, quality, release readiness, and real-device validation.
You can find us at: flutterdev@pindush.net (Burner for spam prevention. Will answer from different address)
American healthcare is seldom affordable, accessible, or high-quality. We are fixing this for pediatrics. Blueberry is the most affordable option amongst our competitors. We practice the highest quality pediatric telemedicine, as evidenced by our exclusive hiring of board-certified pediatricians and the usage of at-home medical kits. And, we’re accessible 24 hours a day.
Our success is shown in the lives we save, the costs we save our insurers, and our exploding B2B and D2C business.
As you can imagine, pulling off affordable high-quality healthcare is a challenge. It requires a lot of engineering ingenuity, a C-suite aligned with positive patient outcomes above short-term profits, and a great product team.
We use Django, Hotwire Turbo (an HTMX-like framework), Pytorch, Sklearn, and Flutter. Experience in these technologies helps, but what’s more important is general full-stack knowledge, curiosity, and a strong work ethic.
Full-stack engineer: https://jobs.ashbyhq.com/blueberrypediatrics/dc8108f3-34ed-4...
Our homepage: https://blueberrypediatrics.com/
Our engineering blog: https://engineering.blueberrypediatrics.blog/