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2 дня назад

Principal AI Engineer (AI Orchestration & Retrieval)

159 600 - 207 500$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
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

Principal AI Engineer (AI Orchestration & Retrieval): Designing the orchestration and abstraction layers that connect LLMs to tools, data, and sub-agents, including MCP servers and end-to-end RAG pipelines. Focus on building multi-agent patterns, retrieval quality and evaluation, and production-grade observability, safety, and access control for agentic workflows.

Location: Remote (USA)

Salary: $159,600.00 - $207,500.00 (US Base Salary Range)

Company

hirify.global builds enterprise AI systems and platforms.

What you will do

  • Design orchestration and abstraction layers for a central AI system connecting LLMs, tools, data, and sub-agents.
  • Design, build, and operate MCP (Model Context Protocol) servers and define standards for tool definitions, exposure, and versioning.
  • Define tool-surface strategy and multi-agent patterns, including when to use specialized sub-agents vs direct tool exposure.
  • Build retrieval (RAG) systems: chunking, embeddings, vector stores, hybrid/keyword search, re-ranking, and context assembly.
  • Implement routing, context-window management, and memory strategies for agentic workflows.
  • Define evaluation and observability/tracing for orchestration and retrieval quality, including latency and cost; implement safety, guardrails, authentication, and access control.

Requirements

  • Location: Must be based in the United States
  • 12+ years of experience in software/AI engineering with hands-on work building LLM orchestration, agents, and retrieval systems.
  • Deep hands-on experience with LLM orchestration frameworks (e.g., LangGraph, LlamaIndex, Semantic Kernel) and agentic patterns.
  • Direct experience building MCP servers and tool/function-calling integrations.
  • Deep experience with retrieval/RAG including chunking strategies, embeddings, vector databases, hybrid search, and re-ranking.
  • Experience with evaluation and observability for agentic and retrieval systems; ability to set strategy while staying hands-on in code.

Culture & Benefits

  • Remote work based in the USA.
  • US base salary range of $159,600.00–$207,500.00.
  • May be eligible for the Vertex Bonus Plan (VOB), role-specific commission/bonus, and/or equity grants.
  • Compensation may vary based on skills, experience, and geographic location; pay will not fall below applicable local minimum wage.

Hiring process

  • Interviews focused on orchestration/retrieval design, MCP/tool integration, and evaluation/observability practices.
  • Technical discussions to assess hands-on coding depth and ability to set standards while building.

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