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Workhint

Full-Stack Engineer

Reposted One Month Ago
Remote or Hybrid
Hiring Remotely in United States
Mid level
Remote or Hybrid
Hiring Remotely in United States
Mid level
Build and maintain end-to-end product features across frontend, backend, and databases. Design APIs, authentication, data models, integrations, and AI-assisted workflows. Ship production-ready SaaS components, debug across the stack, improve reliability and performance, and collaborate on product and architecture decisions in an early-stage startup.
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Job Description

Workhint is looking for a Full-Stack Engineer who can build across the entire product stack - from frontend interfaces to backend systems, APIs, databases, automations, and AI-powered workflows.

This is not a narrow engineering role. We are looking for a builder who can take an idea, understand the product logic, design the technical approach, and ship working software quickly. You should be comfortable building full product flows, not just isolated features.

You will work on Workhint’s agentic work orchestration platform, helping companies build and operate custom workforce systems using modular components, workflow engines, onboarding flows, payments, compliance, and AI-assisted configuration.

The ideal candidate knows how to build modern web applications and also knows how to use AI tools effectively to move faster - including AI coding assistants, automation tools, prompt-based development, API integrations, and AI-powered product workflows.

Responsibilities
  • Build and maintain full-stack product features across frontend, backend, and database layers

  • Develop clean, responsive, and scalable user interfaces

  • Build backend APIs, business logic, authentication flows, and integrations

  • Design and manage database schemas, data models, and platform configuration structures

  • Integrate third-party tools, APIs, webhooks, automation platforms, and AI services

  • Build AI-assisted workflows that help users configure platforms, generate outputs, and automate operations

  • Work with product and business requirements and turn them into working software

  • Debug issues across the full stack, from UI behavior to backend logic and data flow

  • Use AI development tools responsibly to accelerate coding, testing, documentation, and prototyping

  • Improve system reliability, performance, security, and maintainability

  • Contribute to product architecture decisions as the platform scales

What We’re Looking For
  • Strong full-stack engineering experience

  • Ability to build complete product flows from idea to production

  • Experience with modern frontend frameworks such as React, Next.js, Vue, or similar

  • Experience with backend development using Node.js, Python, or similar technologies

  • Experience working with APIs, webhooks, authentication, databases, and cloud services

  • Understanding of relational databases such as PostgreSQL or MySQL

  • Comfortable working with AI coding tools and AI-assisted development workflows

  • Able to think like a product builder, not just a task executor

  • Strong problem-solving skills and ability to work independently

  • Comfortable in an early-stage startup environment where speed, ownership, and clarity matter

Bonus Experience
  • Experience building SaaS platforms, marketplaces, HR tech, workforce management, or workflow automation tools

  • Experience with AI APIs such as OpenAI, Anthropic, Gemini, or similar

  • Experience with automation tools like n8n, Zapier, Make, or custom webhook systems

  • Experience with Supabase, Firebase, Azure, AWS, or similar cloud platforms

  • Experience with payments, invoicing, compliance, onboarding, or role-based access systems

  • Experience building internal tools, admin dashboards, or multi-tenant platforms

What Success Looks Like

You can take a product idea, break it into technical pieces, build the frontend, connect the backend, structure the data, integrate the right APIs, and ship a working system.

You do not wait for every detail to be handed to you. You think through the product, ask the right questions, use AI tools to move faster, and deliver practical software that solves real customer problems

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