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5 дней назад

Senior Systems Engineer (AI)

190 000 - 230 000$
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
Senior Systems Engineer (AI): Designing and building agentic AI systems that orchestrate automation across enterprise platforms with an accent on API-first workflows, unified data layers, and production deployment. Focus on implementing MCP connectors, scalable distributed integrations, AI security and compliance guardrails, and reusable tooling for citizen developers.

Location: San Francisco, CA, United States; on-site

Salary: $190,000–$230,000 annually plus bonus; restricted stock units included

Company

hirify.global builds vertically integrated AI infrastructure spanning energy, data centers, cloud services, and AI workloads.

What you will do

  • Design and implement modular, API-first agentic AI workflows using Workato ONE, Anthropic Claude, Gemini, and similar platforms.
  • Build autonomous agents that orchestrate processes across Salesforce, Coupa, Slack, Google Workspace, and other enterprise systems.
  • Architect unified data layers, integrations, APIs, custom connectors, and MCP connectors for scalable AI orchestration.
  • Design deployment pipelines and lifecycle management systems for production AI agents.
  • Embed security, privacy, and compliance guardrails into AI implementations.
  • Create reusable frameworks for the Citizen Developer Program and mentor internal teams through code reviews and training.

Requirements

  • 10+ years of software engineering experience, including 3+ years in AI/ML or AI application development.
  • Strong Python and API development skills, including REST, GraphQL, and webhooks.
  • Experience with enterprise integration platforms such as Workato, MuleSoft, or Zapier.
  • Experience with LLM APIs, agentic architectures, RAG patterns, and prompt engineering.
  • Experience designing scalable distributed systems in AWS, GCP, or Azure, with knowledge of microservices and event-driven architecture.
  • Experience with CI/CD, infrastructure as code, DevOps, and data security, privacy, and compliance requirements including SOC 2 and GDPR.

Nice to have

  • Production deployment of agentic AI systems and familiarity with Workato or other iPaaS platforms.
  • Google Workspace or Microsoft 365 automation experience.
  • Knowledge of MCP or similar interoperability standards and enterprise AI governance frameworks.
  • Background in infrastructure, energy, or high-performance computing.
  • Open-source AI contributions or technical thought leadership.

Culture & Benefits

  • Health, dental, and vision insurance with employer HSA contributions.
  • Paid time off, holidays, parental leave, and volunteer time off.
  • 401(k) plan with company match up to 4% of salary.
  • Professional development, tuition reimbursement, and mental health and wellness support.
  • Life insurance, disability coverage, commuter benefits, cell phone stipend, meals allowance, and global travel insurance.

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