Agentic Fullstack Engineer: AI Pipelines & UI

Subsig

San Francisco (CA)

In loco

USD 150.000 - 190.000

Tempo pieno

14 giorni+

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Vantaggi offerti da questo lavoro

Learning budget
Performance bonus
Modern tooling
Flat hierarchy

Descrizione del lavoro

Subsig is hiring a Fullstack Engineer to design and deploy AI-powered agentic systems on a Next.js and Laravel stack. You will build APIs, interfaces, and agent pipelines powering our core platform, bridging automation with reliable product engineering.

You will work on SSR/SSG, tool integrations, and multi-step reasoning, collaborating with ops and product teams to ship robust, scalable solutions.

Competenze

  • 3+ years of full‑stack development experience.
  • Experience with Next.js, React, and TypeScript in production.
  • Proficiency with Laravel, PHP 8.x, and SQL databases.
  • Familiarity with AI/agent patterns and LLM integrations.

Mansioni

  • Design and build agentic workflows using LLM APIs integrated into Laravel backend services.
  • Develop full-stack features across Next.js frontend and Laravel backend.
  • Architect orchestration logic for task routing, memory, and multi-step reasoning.
  • Create RESTful APIs and webhooks for agent pipelines and frontends.
  • Implement SSR/SSG and App Router patterns for optimal UX.
  • Build operator dashboards to monitor and configure agents.
  • Collaborate with teams to translate agent use cases into working systems.
  • Write clean, well-tested code and participate in reviews.

Conoscenze

Next.js & React
TypeScript
Tailwind CSS
Laravel
PHP 8.x
MySQL/PostgreSQL
Redis
REST APIs
CI/CD
Docker
AWS/GCP

Formazione

Bachelor's degree

Strumenti

Eloquent ORM
Git
LangChain
Pinecone

Descrizione del lavoro

Subsig is hiring a Fullstack Engineer to design and deploy AI-powered agentic systems on a Next.js and Laravel stack. You will build APIs, interfaces, and agent pipelines powering our core platform, bridging automation with reliable product engineering.

You will work on SSR/SSG, tool integrations, and multi-step reasoning, collaborating with ops and product teams to ship robust, scalable solutions.

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