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8 часов назад

Customer Service and Pre-Sales Engineer (AI)

Формат работы
remote (только Europe)/hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
c1
Страна
UK/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR

Customer Service and Pre-Sales Engineer (AI): Bridging the gap between customer experience and sales teams by providing technical support and pre-sales expertise for an enterprise AI data platform with an accent on graph databases and identity-centric security. Focus on delivering POCs, managing complex deployments, and acting as a technical evangelist for agentic AI solutions.

Location: Must be based in London, England or Calgary, Canada

Company

hirify.global is a pioneer in data trust and AI enablement, building the trust and decision layer for enterprise agentic AI.

What you will do

  • Provide expert technical guidance and support to customers through deployment, integration, and platform operation.
  • Deliver compelling Proof of Concepts (POCs), product demonstrations, and architectural recommendations to prospective clients.
  • Act as a technical expert for the platform, offering insights into integration and configuration best practices.
  • Support high-need clients with managed services and long-term engagements to ensure high satisfaction.
  • Collaborate closely with Account Executives and the Customer Experience team to drive platform adoption.

Requirements

  • Must be based in London, England or Calgary, Canada.
  • Strong experience with graph database technologies, specifically Neo4j and Cypher.
  • Demonstrated understanding of IaC principles and Terraform workflows.
  • Proficiency in implementing data flows using REST APIs and Apache Kafka.
  • Development experience with Python, Javascript, React, or Go.
  • Technical expertise in IAM protocols, particularly OAuth 2.0 and AuthZEN.
  • Bachelor’s degree in Computer Science, Engineering, or a related field.

Nice to have

  • Experience developing AI Agents using Python.
  • Familiarity with LLM integration patterns like RAG.
  • Knowledge of emerging standards like MCP and A2A for multi-agent orchestration.

Culture & Benefits

  • Flexible working hours with hybrid or remote options.
  • Competitive salary and benefits package.
  • Employee stock ownership plan.
  • Annual global offsite gatherings.
  • Collaborative, fast-paced, and supportive environment.

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