Чётко очерченная роль уровня Staff в ведущей AI- и data-компании даёт большую ответственность за production-системы на базе агентов; важный практический нюанс - работа в офисе в Маунтин-Вью.
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Чёткая зона ответственности
Сильный AI-контекст
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sr. Staff Software Engineer, Agentic Applications (AI): Architecting and delivering LLM-powered agents and publishing workflows for Databricks web content with an accent on reliability, evaluation, human-in-the-loop review, and enforceable brand and compliance guardrails. Focus on designing production-scale agent systems, feedback loops, approval routing, audit logging, and CMS integrations for autonomous content operations.
Location: Mountain View, California, United States
Salary: $198,200–$272,600 USD annually, plus potential annual performance bonus, equity, and benefits.
Company
Databricks is a Data and AI company whose platform is used by more than 20,000 organizations to build and scale data, AI, analytics, and agent applications.
What you will do
Own the architecture and delivery of agentic workflows that enable marketing self-service content creation and publishing across blogs, landing pages, microsites, and social channels.
Partner with Web Platform and Web Products engineers on CMS architecture, structured content, AI-driven discovery, and surface quality across databricks.com.
Build agent reliability systems, including workflow-specific quality criteria, evaluation suites, behavioral regression tests, and feedback loops based on marketer approvals, edits, and rejections.
Architect human-in-the-loop publishing with proposal and commit separation, diff-based review, approval routing, notifications, and audit logging.
Encode brand, legal, and compliance requirements as enforceable agent guardrails.
Mentor and grow a Senior Engineer while setting production-grade agentic engineering standards.
Requirements
12+ years of software engineering experience with a clear record of technical ownership for production systems.
Hands-on experience building and operating LLM-powered systems in production.
Strong ability to design quality and evaluation frameworks for probabilistic or generative outputs.
Strong understanding of human-in-the-loop systems, including approval workflows, review interfaces, audit logging, and guardrails.
Deep understanding of agents interacting with content systems, publishing pipelines, and web infrastructure, including CMS, deployment pipelines, and edge delivery.
Ability to work directly with non-engineering stakeholders and translate workflow requirements into agent architecture.
Experience mentoring engineers and raising technical execution standards across a team.
Culture & Benefits
Comprehensive employee benefits and perks, with region-specific details.
Potential eligibility for annual performance bonuses and equity.
Commitment to inclusive hiring and a diverse workplace.
Export-controlled technology or source-code access may require a U.S. government license; the employer may decline to proceed if access cannot be authorized.
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