AI Product Engineer

Intersog

United States

A distancia

USD 140.000 - 220.000

Jornada completa

hace 41 horas
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Descripción de la vacante

Intersog is seeking an AI Product Engineer to design, build, and deliver production-ready AI-powered products end to end. You will own core architectures, collaborate with AI coding agents, and shape how we develop software using AI.

You will lead full-stack efforts with TypeScript and PostgreSQL, craft intuitive interfaces, establish design systems, and ensure robust security, testing, and reliability in production.

Formación

  • 5+ years of experience developing and shipping production web applications end to end.
  • Advanced experience with AI coding agents, including executable specifications, parallel agent workflows, isolated environments, automated testing, code review, and cost management.
  • Strong full-stack engineering skills in TypeScript and PostgreSQL, including data modeling, migrations, multi-tenant architecture, authentication, APIs, and background jobs.
  • Strong UX/UI design skills, including design systems, accessibility, and user testing.
  • Experience delivering LLM-powered features in production.
  • Understanding of AI evaluations, prompt-injection risks, and secure AI application development.
  • Experience with infrastructure as code, CI/CD, monitoring, backups, and security best practices.

Responsabilidades

  • Build and ship AI-powered web products using AI coding agents and modern development practices.
  • Develop scalable full-stack applications using TypeScript and PostgreSQL.
  • Design intuitive, accessible interfaces and maintain consistent design systems.
  • Implement AI features, including tool-using agents, structured outputs, evaluations, and prompt-injection safeguards.
  • Manage CI/CD, infrastructure, monitoring, security, and production reliability.
  • Collaborate on product specifications, release frequently, and improve products based on user feedback.

Conocimientos

AI coding agents
TypeScript
PostgreSQL
Full-stack engineering
UX/UI design
Design systems
Testing
LLM-powered features
CI/CD
Security practices

Herramientas

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Descripción del empleo

We are looking for an AI Product Engineer to design, build, and deliver production-ready AI-powered products from end to end — from databases and backend systems to intuitive user interfaces.

You will work extensively with AI coding and design agents, take ownership of product quality, and help shape how we develop and deliver software using AI.

Key Responsibilities
  • Build and ship AI-powered web products using AI coding agents and modern development practices.
  • Develop scalable full-stack applications using TypeScript and PostgreSQL.
  • Design intuitive, accessible interfaces and maintain consistent design systems.
  • Implement AI features, including tool-using agents, structured outputs, evaluations, and prompt-injection safeguards.
  • Manage CI/CD, infrastructure, monitoring, security, and production reliability.
  • Collaborate on product specifications, release frequently, and improve products based on user feedback.
  • 5+ years of experience developing and shipping production web applications end to end.
  • Advanced experience with AI coding agents, including executable specifications, parallel agent workflows, isolated environments, automated testing, code review, and cost management.
  • Strong full-stack engineering skills in TypeScript and PostgreSQL, including data modeling, migrations, multi-tenant architecture, authentication, APIs, and background jobs.
  • Strong UX/UI design skills, including design systems, accessibility, and user testing.
  • Experience delivering LLM-powered features in production.
  • Understanding of AI evaluations, prompt-injection risks, and secure AI application development.
  • Experience with infrastructure as code, CI/CD, monitoring, backups, and security best practices.
  • A portfolio demonstrating products and interfaces you have designed and built. Nice to Have
  • Python.
  • Serverless and edge platforms.
  • Browser automation and end-to-end testing.
  • Legacy software modernization.
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