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1 день назад

Software Engineer (Enterprise AI)

144 500 - 180 600$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Netherlands/Germany +2 еще
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
Software Engineer (Enterprise AI): Building production-ready enterprise AI applications, agentic workflows, AI Gateway infrastructure, and Agent Registry systems with an accent on AI orchestration, cloud platforms, observability, and regulatory compliance. Focus on deploying governed AI integrations, managing LLM routing and cost controls, building data pipelines, and enforcing ITAR and EAR requirements.

Location: Hybrid in San Francisco, CA; requires working from the San Francisco office 3 days per week.

Salary: $144,500–$180,600 USD per year for the San Francisco location, with potential bonus and equity incentives.

Company

hirify.global designs, builds, and operates a large constellation of imaging satellites and delivers cloud-based satellite imagery and geospatial data for commercial, environmental, and humanitarian applications.

What you will do

  • Design, build, and maintain production-ready enterprise AI applications and internal tools using Gemini Enterprise Agent Platform, Cursor, and Claude.
  • Build intelligent agent experiences and automate complex business workflows with internal business units.
  • Maintain the centralized AI Gateway for LLM API routing, rate limiting, cost controls, and model selection.
  • Develop and govern the AI Agent Registry to catalogue, monitor, and manage agents across the organization.
  • Implement logging, monitoring, alerting, data pipelines, and AI infrastructure aligned with ITAR and EAR standards.
  • Collaborate with Security and Legal teams on data access controls, secret management, compliance checks, and enterprise AI adoption.

Requirements

  • 6+ years of software engineering experience.
  • Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience.
  • Hands-on experience developing and deploying applications across the GCP and AWS ecosystems.
  • Experience in regulated engineering environments involving ITAR, EAR, or FedRAMP compliance.
  • Expertise with AI Gateways, Agent Registries, AI orchestration platforms, Python, vector databases, and SQL.
  • Ability to work from the San Francisco office three days per week.

Nice to have

  • Experience with Gemini Enterprise App.
  • Experience with Claude Code or Cowork.

Culture & Benefits

  • Medical, dental, and vision plans, with an HSA and company contribution.
  • Paid time off, holidays, company-wide days off, and 16 weeks of paid parental leave.
  • Wellness and Employee Assistance Programs.
  • Home office, phone, internet, and commuter reimbursements where applicable.
  • Tuition reimbursement, LinkedIn Learning access, equity, and paid volunteer time off.

Hiring process

  • Selected interviews may be recorded with candidate consent using an AI notetaker; opting out does not affect candidacy.
  • Use of AI tools is prohibited during live interviews and assessments unless explicitly authorized or required as an accommodation.

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