Software Engineer – AI Agents

About the role

## Responsibilities • Build and ship production AI agents and automated workflows from a business-validated backlog • Own workflows from business scoping through development, deployment, monitoring, documentation, and handoff • Build Databricks data foundations including Unity Catalog tables and views, Lakeflow pipelines, Lakeflow Connect ingestion, and Genie spaces • Consolidate data from advertising, partner, CRM, support desk, and finance systems • Work with Data Science on evaluation sets, accuracy and drift tracking, cost and latency instrumentation, audit fields, and failure alerts • Integrate systems through APIs, webhooks, MCP servers, and orchestration tools including Databricks Workflows, n8n, and GitHub Actions • Expose platform data and actions as APIs with Core Engineering • Build reusable Claude skills, MCP connectors, prompt and evaluation libraries, and playbooks • Handle consumer data according to privacy and compliance standards and use approved AI tools • Work with IT and Security on credentials and access • Demo weekly, document work in Confluence, and share learnings in brown bags and tech talks • Use AI-assisted development tools such as Claude Code and GitHub Copilot review • Ship one end-to-end workflow within the first 90 days and several production workflows by six months ## Requirements • 3+ years of professional software or data engineering experience • Strong Python and SQL skills • Built and shipped at least one LLM-powered application or agent used by real users • Experience with tool calling, retrieval, structured outputs, and evaluation • Hands-on experience with Databricks (Spark, Delta Lake, Unity Catalog, Workflows) or a comparable lakehouse, or sufficient data engineering experience to ramp quickly • Experience integrating SaaS and internal systems through REST APIs, webhooks, and OAuth • Testing, instrumentation, and cost-awareness for engineering work • Ability to determine when a workflow is ready to be owned by someone else • Clear communication with non-technical people • Comfortable running working sessions with business teams • Experience using AI coding assistants such as Claude Code and GitHub Copilot • Bachelor's degree in computer science or related field, or equivalent practical experience • Fluent participates in the E-Verify Program and verifies work authorization for new employees ## Benefits • Competitive compensation • Ample career and professional growth opportunities • Health, dental, and vision insurance • Pre-tax savings plans and transit/parking programs • 401K with competitive employer match • Volunteer and philanthropic activities throughout the year • Educational and social events • Fully stocked kitchen • Catered breakfast and lunch • Activity-filled office events • Recreational sports leagues • Networking with She Runs It • Quarterly team outings to baseball games, fancy dinners, and pizza-making classes • Opportunity to work for a performance marketing company • Competitive bonus