Эта роль в Databricks предлагает сильный акцент на ИИ и автоматизации с четкими обязанностями и высокой зарплатой, что делает ее отличной возможностью на рынке технологий.
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Высокая зарплатаЧеткие обязанностиПродуктовая компанияИнновационный домен
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
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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