Staff Software Engineer, Agentic Applications
$198k - $273k • Remote • Mountain View, California
Posted 26d ago
Job Location
Mountain View, California
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Agent Engineer
About the job
The Web Engineering team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world. We are rebuilding the platform from the ground up, AI native from the start, and pioneering an agentic SDLC as our operating model. As Staff Software Engineer, Marketing Agents on the Web Engineering team, you will own the architecture and delivery of agents that transform how Databricks creates, publishes, and ships for the web, shifting content operations from a linear, engineering-dependent process to an orchestrated, continuously improving system. You will define how LLM-powered agents participate reliably across marketing content workflows, set the engineering standards the team builds on, and ensure agent output is robust, observable, and production-ready at scale.
Responsibilities
- Own the architecture and delivery of agentic workflows for marketing content creation and publishing across various platforms.
- Partner with Web Platform engineers to ensure content models support agent read/write workflows and AI-driven discovery.
- Build and own the agent reliability system, defining output quality criteria, implementing evaluation suites, and creating feedback loops for improvement.
- Architect human-in-the-loop review processes for the full publishing pipeline, including proposal/commit separation, review UI, and approval routing.
- Encode brand, legal, and compliance constraints as enforceable guardrails within agent workflows.
- Partner with Web Products engineers to ensure agent-generated content meets quality and brand standards.
- Mentor and grow other engineers, setting the standard for production-grade agentic engineering.
Requirements
- 12+ years of software engineering experience with a track record of technical ownership on production systems.
- Hands-on experience building and operating LLM-powered systems in production.
- Strong instinct for designing quality and evaluation frameworks for probabilistic or generative outputs.
- Strong understanding of human-in-the-loop system design, including approval workflows, review interfaces, audit logging, and guardrail implementation.
- Deep understanding of agent interaction with content systems, publishing pipelines, and web infrastructure (CMS, deployment pipelines, edge delivery).
- Ability to translate workflow requirements from non-engineering stakeholders into agent architecture.
- Experience mentoring engineers and elevating technical execution.
Benefits
- Eligibility for annual performance bonus
- Equity
- Comprehensive benefits and perks