Part time Sr. Software Engineer

GeoVisual Analytics · United States (Remote) · posted Oct 15, 2026

Open to candidates in United States

$85 / hrContractseniorsupply chain

You apply on the company's own site. We never charge to apply.

What this role actually asks for

Extracted by RemoteHunt

Must have

  • •5+ years software engineering (frontend & backend)
  • •Strong TypeScript and Node.js
  • •Strong React or modern frontend framework
  • •Python with async framework (FastAPI)
  • •Experience building/integrating AI tooling
  • •Experience with SQL and NoSQL data stores
  • •Experience deploying production services

Nice to have

  • •Agentic or tool-calling patterns with LLMs
  • •Data science or analytics experience
  • •Background in agriculture, food, logistics, or supply chain

Tools and technologies

TypeScriptNode.jsPythonNext.jsReactTailwind CSSRadix UINestJSFastAPISupabasePostgresFirebaseFirestoreCloud FunctionsDrizzle ORM

Worth checking before you apply

  • ⚠part-time

The full posting

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.

Requirements

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

Benefits

  • Work From Home
  • Generous Vacation
  • Flexible Work Hours
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