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7 часов назад

Fullstack AI Engineer (Agentic Systems)

180 000 - 400 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Fullstack AI Engineer (Agentic Systems): Building and deploying agentic systems for complex, multi-step workflows with an accent on RAG pipelines, multi-agent orchestration, and enterprise-grade reliability. Focus on shipping end-to-end AI products from MVP to production while ensuring safety and performance in regulated domains.

Location: On-site in San Francisco, California, United States

Salary: $180,000 – $400,000 USD annually

Company

hirify.global is a pre-seed AI startup building agentic systems that automate complex, multi-step workflows across regulated and enterprise domains.

What you will do

  • Design and build agentic systems for automating workflows in healthcare, legal, fintech, and logistics.
  • Own production RAG pipelines, including vector databases, embeddings, and indexing infrastructure.
  • Implement multi-agent orchestration, tool-calling, memory, and reasoning components.
  • Develop evaluation and safety infrastructure to ensure enterprise-level trust and reliability.
  • Ship full-stack AI products from MVP to enterprise-grade, managing the entire lifecycle from API design to deployment.
  • Collaborate with founders to define success metrics and iterate based on user feedback.

Requirements

  • 2–8 years of software engineering experience with a track record of shipping products.
  • Hands-on production experience deploying LLM-based services, including prompt design and orchestration.
  • Full-stack proficiency in Python and TypeScript/React.
  • Experience with cloud platforms (AWS or GCP) and relational or NoSQL databases.
  • Solid working knowledge of RAG patterns, vector databases, and retrieval pipelines.
  • Must be authorized to work in the United States; visa sponsorship is not available.

Nice to have

  • Familiarity with agent frameworks like LangGraph or CrewAI.
  • Experience with orchestration tools like Temporal or Trigger.
  • Background in multi-tenant systems or regulated industries.

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