Part time Sr. Software Engineer
GeoVisual Analytics · United States (Remote) · posted Oct 15, 2026
Open to candidates in United States
You apply on the company's own site. We never charge to apply.
What this role actually asks for
Extracted by RemoteHuntMust 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
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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