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обновлено 2 месяца назад

Staff Software Engineer (AI)

190 000 - 261 250$
Формат работы
onsite
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
Staff Software Engineer (AI): Architecting and delivering an AI-native vertical workflow platform that orchestrates AI agents, humans, and enterprise tools across customer support and other knowledge-worker domains with an accent on distributed systems, automation, and agentic backend architecture. Focus on designing state-machine workflows, implementing enterprise-grade observability and rollback mechanisms, and scaling reliable multi-tenant systems across cloud environments.

Location: Mountain View, California or San Francisco, California, United States

Salary: $190,000–$261,250 USD annually, plus potential performance bonus, equity, and benefits.

Company

Databricks builds a unified Data + AI Platform used by organizations worldwide to develop and scale data, analytics, and AI applications.

What you will do

  • Architect the core infrastructure and backend for an enterprise agentic framework.
  • Build a modular, multi-tenant workflow platform initially focused on customer support and expandable to IT, Security, Compliance, Marketing, HR, Legal, and other ticket-based workflows.
  • Design state-machine and agentic workflows that support human validation and fully automated execution.
  • Implement tracing, logging, transparency, safe execution, and rollback mechanisms for AI-driven decisions.
  • Drive reliable backend development and collaborate with Product, Platform Engineering, CXI, and business stakeholders.
  • Set engineering standards for code quality, performance, architecture, and mentorship.

Requirements

  • Bachelor’s degree or higher in Computer Science or a related field.
  • Technical leadership experience on large projects involving automation tooling, distributed systems, and APIs.
  • Extensive full-stack development experience and a record of deploying production-grade automation.
  • Hands-on experience with ML-assisted systems, decision support, or agentic automation.
  • Deep familiarity with distributed data platforms, developer tooling, and large-scale infrastructure systems.
  • Strong understanding of AWS, Azure, and GCP, as well as enterprise compliance, data privacy, and security constraints.

Culture & Benefits

  • Comprehensive benefits and region-specific employee perks.
  • Potential annual performance bonus and equity eligibility.
  • Inclusive hiring practices and a diverse working environment.

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