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13 часов назад

AI Fullstack Engineer

Тип работы

fulltime

Грейд

senior

Английский

Страна

Israel

Вакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:

TL;DR

AI Fullstack Engineer (AI/Full-Stack): Building production-grade AI-powered applications and end-to-end full-stack solutions with an accent on LLM integration, RAG, AI agents, and scalable cloud-native systems. Focus on designing autonomous workflows, implementing AI evaluation and observability pipelines, and owning features from architecture through deployment and continuous improvement.

Location: Israel

Company

hirify.global provides continuous security validation that helps organizations assess and optimize their cybersecurity posture against evolving threats.

What you will do

Design, build, and maintain production-grade AI-powered applications and services.
Develop end-to-end full-stack solutions with backend services, APIs, and React-based frontends.
Build scalable, secure, highly available distributed systems and cloud infrastructure.
Develop AI agents, copilots, autonomous workflows, RAG solutions, and LLM integrations.
Design AI orchestration workflows and implement evaluation, tracing, and observability pipelines.
Own features end-to-end, from architecture and development through deployment, monitoring, and continuous improvement.

Requirements

5+ years of experience building scalable, production-grade full-stack applications.
Strong hands-on experience with TypeScript, Node.js, Python, React, distributed systems, microservices, APIs, and cloud-native architectures.
Experience building AI-powered applications with LLMs, AI agents, RAG, vector databases, prompt engineering, context engineering, and MCP.
Experience with LangChain, LangGraph, Langfuse, LlamaIndex, or similar AI frameworks.
Experience with AWS, Docker, Kubernetes, CI/CD, DevOps, and infrastructure automation.
Ability to independently deliver solutions from concept to production, communicate effectively, and collaborate across Product, Design, and Engineering.

Nice to have

Experience building internal AI platforms or AI developer tools.
Familiarity with Cursor, Claude Code, Windsurf, or GitHub Copilot.
Experience with multi-agent systems, autonomous workflows, AI security, model safety, or governance.
Background in SaaS or cybersecurity environments.
Experience leading technical initiatives or mentoring engineers.

Culture & Benefits

Work in a fast-paced startup environment focused on innovation, execution, and business impact.
Collaborate closely with Product, Design, and Engineering teams.
Research and evaluate emerging AI technologies and introduce innovative solutions.
Contribute to AI-assisted development and engineering productivity improvements.

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