Staff Software Engineer, Agentic Applications

Databricks · Mountain View, CA · $198k - $272k
full-time lead Posted 19 hours ago
Apply Now Stand out: build a proof-of-work pitch →

Free GitHub-based preview. Direct apply stays one click away.

Get weekly job alerts like this →

Hiring for this role?

AI Market Demand Pack · $29 one-time

Compare this role's skills with the full AI hiring market. Get ranked demand, salary bands, leading companies, public source URLs, and a decision brief.

See the live sample →

About this role

P-1578 About Us: 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. We are rebuilding the platform from the ground up, AI native from the start, and pioneering an agentic SDLC as our operating model. The Role: 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. The impact you’ll have : 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  Mentor and grow the Senior Engineer on the team, setting the standard for production-grade agentic engineering at Databricks What we look for: 12+ 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  Deep understanding of how agents interact with content systems, publishing pipelines, and web infrastructure including CMS, deployment pipelines, and edge delivery  Ability to work directly with non-engineering stakeholders to translate workflow requirements into agent architecture  Experience mentoring engineers and elevating technical execution across a team   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here .   Zone 1 Pay Range $198,200 — $272,600 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on  Twitter ,  LinkedIn   and   Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment t

Similar Jobs

Related searches:

On-site Jobs Lead Jobs On-site Lead Jobs Lead AI Agents & RAGLead Machine LearningLead Data EngineeringLead NLP & Language AI AI Jobs in Mountain View AI Agents & RAG in Mountain ViewMachine Learning in Mountain ViewData Engineering in Mountain ViewNLP & Language AI in Mountain View data-pipelineagentsllm

Get jobs like this delivered weekly

Free AI jobs newsletter. No spam.