Why this role stands out
Accelerate your career by spearheading high-impact AI and modernization projects at GeoVisual Analytics, where your expertise will directly transform global supply chain efficiency. This fully remote, flexible role offers a competitive $85 hourly rate, making it an ideal opportunity for a self-driven engineer who thrives on owning complex, end-to-end development in a cutting-edge tech stack. Apply today to join a forward-thinking team and start shaping the future of data-driven industry solutions.
Quick overview
Job description
Senior Full Stack Engineer (Part-Time Contract, $85/hr)
This is a 20–30 hour/week contract at $85/hour, fully remote.
GeoVisual Analytics builds custom software and analytics solutions for the fresh produce supply chain and the businesses around it. Our focus is AI implementation and modernization: helping an industry that still runs on spreadsheets and phone calls move to modern, data-driven tools. We're looking for a senior full stack engineer to join us on a contract basis, delivering client work and building out our platform.
The engagement
- 20–30 hours per week
- 3–6 month initial contract, with the intent to extend
- $85/hour
- Fully remote, with flexible hours and time zone
What you'll work on
- Designing, building, and maintaining the frontend and backend of new platforms, from feature development through production
- Leading projects end to end, including new features where the requirements aren't fully defined yet
- Building integrations between our platforms and our clients' cloud and AI infrastructure
- Working with business teams to turn real day-to-day workflows into working software
- Implementing secure authentication, access control, and data governance for sensitive business data
- Shipping with strong testing, CI/CD, deployment, and observability practices
- Iterating on features based on real usage and feedback, balancing speed with reliability
Our stack
- Languages: TypeScript, Node.js, Python
- Frontend: Next.js, React, Tailwind CSS, Radix UI
- Backend: NestJS, FastAPI
- Data: Supabase (Postgres), Firebase (Firestore, Cloud Functions), Drizzle ORM, Typesense, dbt
- Maps, 3D, and ML: Mapbox GL, Turf.js, Three.js, GeoPandas, Rasterio, Shapely, PyTorch, Sentinel Hub
- Monorepo: Turborepo, pnpm/Yarn workspaces
- Hosting and infrastructure: Vercel, Fly.io, Render, Modal, Cloudflare Workers, Docker, GitHub Actions
- Operations: Sentry, LaunchDarkly, Resend
- Testing and quality: Vitest, Jest, pytest, ESLint, Prettier, ruff/mypy
- How we work: Linear, Slack, GitHub
You don't need experience with all of these. Equivalent tools count, and the smaller pieces are quick to learn.
To apply
Send your resume and a few sentences about a project you shipped end to end, including what you built and what you'd do differently. Links to GitHub or a portfolio are welcome.
Must have
- 5+ years of professional software engineering, with hands-on experience across both frontend and backend
- Strong TypeScript and Node.js, with backend services shipped to production (NestJS or similar)
- Strong React or a similar modern frontend framework (we use Next.js)
- Python, with FastAPI or a comparable async framework
- Experience creating and maintaining reusable frontend components used across products
- Experience building or integrating AI-powered or generative AI tooling
- Familiarity with LLM API integrations
- Experience with SQL and NoSQL data stores
- Experience deploying and operating production services on modern platforms such as Vercel, Fly.io, Render, Cloudflare Workers, or Supabase/Firebase, or on a major cloud provider (AWS, GCP, Azure)
- Hands-on experience with CI/CD pipelines (such as GitHub Actions), automated testing, and containerized deployments with Docker
- Startup or small-company experience
- Ability to work independently with minimal supervision
Nice to have
- Agentic or tool-calling patterns with LLMs
- Data science or analytics experience
- Background in agriculture, food, logistics, or supply chain
- Work From Home
- Generous Vacation
- Flexible Work Hours
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