Staff Software Engineer, Agentic Applications
Databricks3 months ago
Base Salary
$198k - $273k/yr
Responsibilities
- Own the architecture and delivery of agentic workflows for marketing content creation and publishing across blogs, landing pages, microsites, and social properties.
- Partner with the Web Platform Staff Engineer on CMS architecture and AI-oriented content models.
- Build the agent reliability system, including workflow quality criteria, evaluation suites, behavioral regression testing, and feedback loops.
- Architect human-in-the-loop review across the publishing pipeline, including proposal and commit separation, diff-based review, approval routing, notifications, and audit logging.
- Implement brand, legal, and compliance guardrails within agent workflows.
- Partner with the Web Products Staff Engineer to maintain content quality and brand standards across databricks.com.
- Mentor and grow a Senior Engineer while establishing production-grade agentic engineering standards.
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.
- Experience 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 guardrails.
- Deep understanding of agents interacting with content systems, publishing pipelines, CMS architecture, deployment pipelines, and edge delivery.
- Ability to translate non-engineering stakeholder workflows into agent architecture.
- Experience mentoring engineers and elevating technical execution across a team.
Benefits
- Comprehensive benefits and perks are offered, with specific details varying by region.
- The role may include annual performance bonus and equity eligibility in addition to base compensation.
Tech Stack
Apache SparkMLflow
Categories
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.