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15 часов назад

Senior AI Engineer (AI)

163 000 - 228 000$
Тип работы
fulltime
Грейд
senior
Английский
c1
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

Senior AI Engineer (AI): Building production agent capabilities for the hirify.global AI platform with an accent on agent design, retrieval pipelines, and tool integrations. Focus on automating real implementation work for enterprise onboarding teams and developing the MCP server foundation.

Location: Must be based in the United States (inferred from US-specific benefits such as 401k and US health insurance)

Salary: $163,000 - $228,000 per year

Company

hirify.global is a leader in post-sale work management within the Salesforce ecosystem, focusing on frictionless transitions from sales to customer success.

What you will do

  • Build production agent capabilities for PM, Execution, and External Onboarding Agents to automate enterprise onboarding tasks.
  • Develop and maintain the MCP server, providing the platform layer connecting agents to project and customer data.
  • Design high-reliability prompts, agent loops, and tool integrations suitable for enterprise-grade production.
  • Own the end-to-end development of retrieval pipelines, eval harnesses, prompt libraries, and observability systems.
  • Collaborate with design partner customers via virtual engagements to translate custom workflows into reusable platform building blocks.
  • Create integrations with external systems including Google Drive, calendars, meeting transcripts, and CRM data.

Requirements

  • Proven experience shipping LLM-based features to production users, moving beyond demo-stage prototypes.
  • Hands-on expertise with retrieval pipelines, agent loops with tool use, and evaluation frameworks.
  • Strong proficiency in Python with a track record of deploying real-world production systems.
  • Experience integrating LLM APIs (e.g., Anthropic Claude, OpenAI) with a focus on prompt iteration, cost, and latency engineering.
  • Strong written communication skills for explaining technical decisions to product teams and customers.
  • Must be eligible to work in the US.

Nice to have

  • Experience with Model Context Protocol (MCP) or agent orchestration tooling.
  • Familiarity with compound or agentic coding workflows such as Claude Code or Cursor.
  • Comfort operating in virtual, customer-facing technical contexts and conducting demos.
  • Curiosity or experience regarding the Salesforce platform.

Culture & Benefits

  • Comprehensive medical, dental, and vision benefits.
  • Work-life balance focus with every other Friday off and flexible PTO.
  • Generous paid family and medical leave (12-16 weeks).
  • Financial perks including 401(k) matching, anniversary bonuses, and vacation bonuses.
  • Company-paid life insurance and cell phone reimbursement stipend.

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