
11 - 50 employees
πΎ Agriculture
π€ Artificial Intelligence
βοΈ SaaS
Agriculture β’ Artificial Intelligence β’ SaaS
GeoVisual Analytics is a company providing geospatial intelligence and AI-powered analytics for agriculture. Its messaging ('Geospatial Intelligence Across the Farm' and 'Farm with facts. Powered by AI') and contact form indicate it serves growers, processors, shippers, retailers and agricultural service providers. Based in Salinas, CA, the company appears to deliver software-driven insights for farm management and supply-chain stakeholders.
π₯ 24 minutes ago
πΊπΈ United States β Remote
π΅ $90k - $120k / year
β± Part Time
π Senior
π§βπ» Full-stack Engineer
π» Ghost score 0%
AWS
Azure
Cloud
Docker
Firebase
Google Cloud Platform
JavaScript
Next.js
Node.js
NoSQL
Python
React
SQL
TypeScript
Where this job comes from
Posted on GeoVisual Analytics's careers page, not through a job board
First seen by Remote Rocketship 24 minutes ago

11 - 50 employees
πΎ Agriculture
π€ Artificial Intelligence
βοΈ SaaS
Agriculture β’ Artificial Intelligence β’ SaaS
GeoVisual Analytics is a company providing geospatial intelligence and AI-powered analytics for agriculture. Its messaging ('Geospatial Intelligence Across the Farm' and 'Farm with facts. Powered by AI') and contact form indicate it serves growers, processors, shippers, retailers and agricultural service providers. Based in Salinas, CA, the company appears to deliver software-driven insights for farm management and supply-chain stakeholders.
β’ Design, build, and maintain frontend and backend platforms from feature development through production β’ Lead projects end to end, including features with initially undefined requirements β’ Build integrations between company platforms and clients' cloud and AI infrastructure β’ Collaborate with business teams to turn day-to-day workflows into working software β’ Implement secure authentication, access control, and data governance for sensitive business data β’ Ship with strong testing, CI/CD, deployment, and observability practices β’ Iterate on features based on real usage and feedback, balancing speed with reliability
β’ 5+ years of professional software engineering, with hands-on experience across both frontend and backend β’ Strong TypeScript and Node.js, with backend services shipped to production (NestJS or similar) β’ Strong React or a similar modern frontend framework (we use Next.js) β’ Python, with FastAPI or a comparable async framework β’ Experience creating and maintaining reusable frontend components used across products β’ Experience building or integrating AI-powered or generative AI tooling β’ Familiarity with LLM API integrations β’ Experience with SQL and NoSQL data stores β’ 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) β’ Hands-on experience with CI/CD pipelines (such as GitHub Actions), automated testing, and containerized deployments with Docker β’ Startup or small-company experience β’ Ability to work independently with minimal supervision
β’ Work From Home β’ Generous Vacation β’ Flexible Work Hours
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