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AI Automation Engineer

102 300 - 160 820$
Формат работы
onsite
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

Текст:
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TL;DR
AI Automation Engineer (AI/LLM): Building AI chat assistants, workflow automations, and agentic applications for post-sales customer teams with an accent on prompt engineering, multi-agent architecture, and enterprise AI integrations. Focus on designing human-in-the-loop guardrails, optimizing model and workflow performance, and connecting AI capabilities with Salesforce, data platforms, and broader customer-success systems.

Location: California, United States

Base pay range: USD 102,300–160,820 annually for California excluding the San Francisco Bay Area.

Company

hirify.global provides human- and agent-centric cybersecurity solutions that protect people, data, and AI workflows across email, cloud, and collaboration tools.

What you will do

  • Design, build, and evolve AI chat assistants for Customer Success, Renewals, Technical Account Management, and Managed Services personas.
  • Apply prompt engineering, usage data, and user feedback to improve assistant accuracy and reliability.
  • Build scheduled and trigger-based AI workflow automations with evaluation logic, downstream actions, and human-in-the-loop checkpoints.
  • Optimize AI architecture by modularizing agent workflows, improving data retrieval, and deciding which logic belongs in prompts versus Python code.
  • Integrate AI capabilities with MCP, data warehouses, Salesforce, Gainsight/Totango, Clari, Gong, Pendo, Snowflake/Redshift, AWS, and Power BI.
  • Build agentic customer-success applications with monitoring, evaluation logic, and safety guardrails for reliable operation at scale.

Requirements

  • Bachelor’s degree in Business, Computer Science, Engineering, or a related field.
  • 8+ years of professional experience, including at least 2 years focused on AI technologies.
  • Proven experience building AI applications with measurable results, including multi-agent systems.
  • Strong command of advanced prompt engineering and context construction for reliable model output.
  • Working knowledge of Python and experience with enterprise orchestration platforms and LLM platforms such as Anthropic, OpenAI, and Amazon Bedrock.
  • Experience in go-to-market or post-sales functions and strong communication skills for explaining AI concepts to business stakeholders.

Nice to have

  • Experience with Amazon Quick Automate, UnifyApps, OpenAI Codex, Claude CoWork, or similar tools.
  • Familiarity with the broader customer-success technology stack.

Culture & Benefits

  • Flexible work environment and a three-week Work from Anywhere option.
  • Competitive compensation and comprehensive benefits.
  • Flexible time off, two paid Wellbeing Days, and two paid Volunteer Days annually.
  • Annual wellness and community outreach days.
  • Global collaboration, networking opportunities, and recognition for contributions.

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