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14 часов назад

AI Engineer - Everest

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

AI Engineer (Everest): Design and implement backend systems that power agentic workflows across LLM, deterministic, and hybrid pipelines with an accent on context memory, orchestration layers, and prompt routing systems. Focus on optimizing latency, extensibility, reliability of multi-agent pipelines and developing GraphRAG-based knowledge retrieval using Neo4j.

Location: Remote (United States)

Company

Everest is reshaping elite executive assistance for founders, entrepreneurs, executives, and high-net-worth individuals using adaptive technology.

What you will do

  • Design and implement backend systems for agentic workflows across LLM, deterministic, and hybrid pipelines.
  • Own core infrastructure like context memory, orchestration layers, and prompt routing systems.
  • Build composable multimodal systems that execute workflows from unstructured inputs (text, audio, video, images).
  • Optimize latency, extensibility, reliability, and inference cost of multi-agent pipelines.
  • Collaborate with stakeholders to test workflows in real-world scenarios.
  • Develop and improve GraphRAG-based knowledge retrieval systems using Neo4j and integrate LLM calls for document processing.

Requirements

  • 5+ years of experience in backend software engineering, preferably in Go or similar systems languages
  • Shipped agentic LLM systems to production
  • Built real-time systems, distributed async queues, or performance-critical services
  • Deep understanding of prompt engineering, token budgeting, and context management
  • Strong intuition for using AI versus traditional systems
  • Thrive in small teams with high trust and ownership

Nice to have

  • Experience with RAG, embedding stores, and vector DBs
  • Designing evals for AI agents and workflows
  • Familiarity with tool orchestration frameworks
  • Understanding architectural tradeoffs of agentic systems, RAG, memory, and orchestrations
  • Background in AI safety, observability, or human-in-the-loop workflows

Culture & Benefits

  • Remote-first culture
  • Competitive salary and meaningful equity
  • Medical, dental, vision healthcare benefits, 401k, disability insurance
  • Flexible PTO policy
  • Collaborative, supportive environment focused on sustainable excellence
  • Work with exceptional talent in a founder-led, data-driven culture

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