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20 часов назад

Lead AI Engineer (AI)

125 000 - 175 000$
Тип работы
fulltime
Грейд
lead
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
Lead AI Engineer (Python/MCP): Building production AI workflow infrastructure, enterprise integrations, and orchestration systems that enable non-engineers to create and operate automated workflows with an accent on security, governance, and bidirectional system integrations. Focus on designing multi-step agent workflows, operationalizing LLMs, building CI/CD and infrastructure-as-code practices, and monitoring production behavior.

Location: Minneapolis, United States; frequent paid travel to the Minneapolis headquarters for company and team events and in-person collaboration.

Salary: $125,000–$175,000 annual compensation, inclusive of a 25% bonus.

Company

hirify.global is an independent full-funnel media, measurement, and creative firm developing the EMRge marketing technology platform.

What you will do

  • Own the AI workflow infrastructure from initial architecture through production operation.
  • Build reusable infrastructure patterns, guardrails, abstraction layers, and integrations that allow non-engineers to create workflows independently.
  • Design multi-step orchestration and bidirectional write-back integrations connecting AI systems with project management, communications, analytics, and operational platforms.
  • Establish security, governance, access control, credential management, audit logging, and least-privilege standards in partnership with IT and security.
  • Build CI/CD pipelines, infrastructure-as-code practices, technical review processes, and post-deployment monitoring for agents and automated workflows.
  • Translate stakeholder requirements into technical specifications, explain feasibility and tradeoffs, and document architecture decisions.

Requirements

  • 8+ years of experience in software engineering, platform engineering, or applied technical roles.
  • Production experience designing AI-powered workflow systems, integration platforms, or agent-based automation.
  • Strong Python and SQL skills, with experience building production platform or data services.
  • Experience building enterprise-scale API integrations, connector frameworks, workflow automation, and bidirectional write-back systems.
  • Hands-on experience with AWS, GCP, or Azure and with MCP or equivalent agent orchestration frameworks.
  • Production experience with large language models, security operationalization, and platforms used by non-engineering stakeholders.

Nice to have

  • Experience with Databricks, Claude Enterprise, or the Anthropic API.
  • Experience operating AI systems in governed or compliance-sensitive environments.
  • Experience building multi-step or multi-agent workflows in production.
  • Experience integrating project management, analytics, or communications platforms.
  • Background in marketing analytics, media, or professional services.

Culture & Benefits

  • Trust-based, transparent, inclusive, and collaborative work environment.
  • Access to office spaces in Minneapolis, New York City, and Chicago.
  • Generous paid vacation, sabbatical program, and paid company and team travel.
  • 401(k) matching, health insurance, and family formation benefits.
  • Mobile phone and data stipend, charitable giving match, and other company amenities.

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