Staff Software Engineer, Agentic ApplicationsActive$198K

Databricks
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The opportunity

The Web Engineering team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world, across databricks. com, the blog, landing pages, hubs, microsites, and event properties.

What you'll do

  • Own the architecture and delivery of agentic workflows that enable marketing: to self-serve content creation and publishing across blogs, landing pages, microsites, and social, working directly with marketing stakeholders to understand their workflows, define quality criteria, and build tools they trust and use

  • Partner with the Web Platform Staff Engineer on CMS architecture to ensure: the content model supports agent read and write workflows and that agent-generated content is structured for AI-driven discovery at production scale

  • Build and own the agent reliability system for this domain: define output quality criteria per workflow, implement eval suites and behavioral regression testing, and build feedback loops that improve agent output over time based on what marketers approve, edit, and reject

  • Architect human in the loop review as a system property across the full: publishing pipeline: proposal and commit separation, diff-based review UI, approval routing, notification system, and audit logging that govern when agents publish autonomously and when human judgment is required

  • Encode brand, legal, and compliance constraints as enforceable guardrails: within agent workflows, ensuring agents operate within defined boundaries without requiring human intervention on every decision

  • Partner with the Web Products Staff Engineer to ensure agent-generated: content meets surface quality and brand standards across databricks.com

What they're looking for

  • Mentor and grow the Senior Engineer on the team, setting the standard for: production-grade agentic engineering at Databricks
  • + years of software engineering experience with a clear track record of: technical ownership on production systems
  • Hands-on experience building and operating LLM-powered systems in production,: and a strong instinct for designing quality and evaluation frameworks for probabilistic or generative outputs
  • Strong understanding of human in the loop system design: approval workflows, review interfaces, audit logging, and guardrail implementation