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Full Time Supabase Jobs (NOW HIRING)

Pavago

AI Product Engineer (Full Stack)

AI Product Engineer (Full Stack) - AI/LLM Applications Position Type: Full-Time, Remote Working ... Supabase * PostgreSQL * Authentication systems * Permissions * Real-time data flows * Design ...

Clera

Founding Engineer (Full-Stack)

San Francisco, CA · On-site

$175K - $200K/yr

Architect and maintain robust PostgreSQL database schemas using Supabase, ensuring data integrity ... Candidates must be willing and able to work from the San Francisco office full-time. Relocation ...

Clera

Founding Engineer (Full-Stack)

San Francisco, CA · On-site

$175K - $200K/yr

Architect and maintain robust PostgreSQL database schemas using Supabase, ensuring data integrity ... Candidates must be willing and able to work from the San Francisco office full-time. Relocation ...

F2

Senior Software Engineer

San Francisco, CA · On-site

$175K - $200K/yr

Familiarity with Python, FastAPI, TypeScript, Node.js, Supabase, and AWS is a plus. Location: San Francisco Employment Type: Full time Location Type: Hybrid Department: Engineering, Product, Design ...

Zealthy

Software Engineering Manager

Manhattan, NY · On-site

As a full-time team member, you won't just shape the future of healthcare--you'll also share in our ... Experience using Supabase preferred, but not required. * Demonstrated leadership experience ...

Vestian

Lead Software Engineer

Chicago, IL · On-site

$185K - $215K/yr

Chicago (On-Site Preferred) • Full-time Commercial real estate advisory runs on human hours ... Postgres (we run on Supabase today, but we're not married to it) * AI-assisted development: you've ...

AgentMail, Inc

GTM Engineer

San Francisco, CA · On-site

San Francisco, CA Type: Full-time, on-site COMPANY OVERVIEW AgentMail is building the communication ... Ramp, Supabase, and HubSpot, as well as Paul Graham. We're early, moving fast, and building in a ...

Zealthy

Software Engineering Manager

Manhattan, NY · On-site

As a full-time team member, you won't just shape the future of healthcare-you'll also share in our ... Experience using Supabase preferred, but not required. * Demonstrated leadership experience ...

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How much do full time supabase jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for full time supabase in the United States is $17.50, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $18.99 per hour, depending on experience, location, and employer.
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Full Time Supabase jobs near you
Infographic showing various Full Time Supabase job openings in the United States as of August 2026, with employment types broken down into 47% Full Time, and 53% Part Time. Highlights an 38% Physical, and 62% Remote job distribution, with an average salary of $36,392 per year, or $17.5 per hour.

AI Product Engineer (Full Stack)

Pavago

Remote

Full-time

Re-posted 29 days ago

Job description

AI Product Engineer (Full Stack) - AI/LLM Applications
Position Type: Full-Time, Remote
Working Hours: U.S. Business Hours
About the Role
We're hiring an AI Product Engineer (Full Stack) to build and scale a real-world AI-powered product from the ground up.
This is a highly hands-on role for someone who can:
  • Build full-stack applications end-to-end
  • Integrate AI/LLMs into production systems
  • Ship quickly and iterate fast
  • Own architecture, performance, and reliability

This is not a maintenance-only role.
You'll be building a live production platform that combines:
  • Modern web application development
  • AI-powered workflows
  • Scalable backend systems
  • Real-world operational functionality

If you enjoy:
  • Building products
  • Shipping fast
  • Integrating AI into real use cases
  • Solving technical problems independently

This role is a strong fit.
What You'll Own
Full Stack Product Development
  • Build and launch a production-ready web application from scratch
  • Own both:
    • Frontend development
    • Backend architecture
  • Ship features rapidly and improve the platform continuously post-launch
  • Design scalable, maintainable system architecture
AI & LLM Integration
  • Integrate AI models such as:
    • Claude
    • OpenAI
    • Gemini
  • Build AI-powered workflows and product experiences
  • Implement:
    • Prompt workflows
    • Guardrails
    • Hallucination handling
    • Failure recovery systems
  • Optimize AI outputs for reliability and usability
Backend Systems & APIs
  • Build scalable APIs and backend services
  • Work extensively with:
    • Supabase
    • PostgreSQL
    • Authentication systems
    • Permissions
    • Real-time data flows
  • Design efficient database structures and backend logic
Security, Reliability & Performance
  • Implement:
    • Authentication
    • Role-based permissions
    • Data protection best practices
  • Improve:
    • Scalability
    • Performance
    • Uptime
    • User experience
  • Debug production issues and optimize system stability
Product Collaboration
  • Work directly with leadership and product stakeholders
  • Translate ideas into production-ready technical solutions
  • Iterate rapidly based on:
    • Product feedback
    • User behavior
    • Operational needs
Requirements
Non-Negotiables
  • Strong full-stack development experience
  • Proven experience shipping real production products
  • Hands-on experience integrating AI/LLMs into applications
  • Strong understanding of:
    • APIs
    • Backend systems
    • System architecture
    • Scalable product design
  • Experience with:
    • Supabase
    • Firebase
    • PostgreSQL
    • Similar backend platforms
  • Understanding of AI limitations, including:
    • Hallucinations
    • Edge cases
    • Prompt reliability
  • Strong debugging and problem-solving ability
  • Ability to work independently with high ownership
Nice to Have
  • Experience building:
    • AI agents
    • Workflow automation systems
    • SaaS platforms
  • Familiarity with:
    • Claude
    • OpenAI APIs
    • Vector databases
    • RAG workflows
  • Startup or MVP-to-production experience
  • Exposure to:
    • Logistics
    • Aviation
    • Operational platforms
    • Membership systems
Tech Stack Exposure
Strong candidates may have experience with:
  • React / Next.js
  • TypeScript
  • Node.js
  • Supabase
  • PostgreSQL
  • REST APIs
  • AI APIs (Claude, OpenAI, Gemini)
  • Vercel
  • Docker
  • Cloud deployments
What a Typical Day Looks Like
  • Build and ship new product features
  • Develop frontend interfaces and backend APIs
  • Integrate AI workflows into product experiences
  • Improve prompt handling and AI reliability
  • Debug production issues and optimize performance
  • Collaborate with leadership on product direction
  • Refactor systems for scalability and maintainability

In short: you build AI-powered products that are fast, scalable, reliable, and production-ready.
Success Looks Like
  • Successful launch of production-ready applications
  • Reliable AI workflows with minimal failures
  • Fast feature delivery and iteration cycles
  • Stable backend systems and APIs
  • Reduced bugs and improved performance over time
  • Scalable, maintainable architecture
Why This Role Stands Out
  • High ownership and autonomy
  • Build real AI products, not internal experiments
  • Direct impact on product and technical direction
  • Work with modern AI tooling and infrastructure
  • Opportunity to scale products from MVP to production
  • Fully remote flexibility
Interview Process
  • Initial Screening Call
  • Technical & Systems Design Interview
  • Practical Product Build / AI Scenario
  • Final Interview
  • Internal Review & Offer
Apply Now
If you:
  • Love building products from scratch
  • Enjoy shipping fast and solving hard problems
  • Have real AI and full-stack experience
  • Want ownership in a fast-moving environment

This role is built for you.

Apply