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7 часов назад

Senior Full Stack Engineer (Gen AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Full Stack Engineer (Gen AI) (LLM agents/RAG): Building and extending a production AI assistant embedded across Optibus product applications with an accent on agent design, retrieval quality, and full-stack integrations. Focus on implementing tool-calling workflows, developing evaluation and observability systems, integrating shared modules into multiple frontend stacks, and operating AWS-based LLM services.

Location: Israel; hybrid work with three days per week in the office

Company

hirify.global provides a unified software platform for public transportation planning, scheduling, and operations, using AI, ML, and optimization algorithms.

What you will do

  • Design and evolve production LLM agents with tool use, routing, and human-in-the-loop workflows.
  • Implement product integrations through internal APIs and MCP servers with multi-tenant context.
  • Develop the RAG pipeline, including ingestion, embeddings, vector search, and reranking.
  • Define integration contracts and shared remote modules for assistants embedded in product UIs using different frontend stacks.
  • Build evaluators, CI evaluation gates, trace-based debugging, and feedback workflows.
  • Operate LLM-backed services, including deployments, observability, performance, cost management, and AI-specific engineering practices.

Requirements

  • 7+ years of professional software engineering experience.
  • Strong TypeScript experience across backend, frontend, and agent development.
  • Experience with modern UI frameworks such as React, Angular, or Vue, plus JavaScript and modern React fundamentals.
  • At least 3 years of production backend development with Node.js.
  • Production experience building LLM applications, including prompt engineering, agent and tool-calling design, and RAG.
  • Experience with agent frameworks, vector databases, semantic search, AWS, REST APIs, WebSockets, authentication, Docker, and CI/CD.

Nice to have

  • Python for data and ingestion pipelines.
  • MCP, LLM observability and evaluation platforms, or Module Federation.
  • Experience designing APIs or SDKs for multiple client teams, infrastructure as code with AWS CDK or Pulumi, and B2B SaaS with multi-tenant context.
  • Interest in public transportation.

Culture & Benefits

  • Collaborative, inclusive workplace focused on innovation, determination, and impact.
  • Work with global teams focused on sustainability and public transportation modernization.
  • Hybrid work arrangement supporting flexibility and work-life balance.
  • Inclusive and accessible interview experience with reasonable accommodations available.

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