Software Engineer, AI Agents
United States · 2 days ago
You will ship production AI agents and automated workflows, building Databricks data foundations and integrating systems through APIs and MCP servers. You will also work with Data Science on evaluation, monitoring and cost tracking.
- Workplace
- Remote
- Seniority
- Mid level
- Experience
- 3+ years
Skills
About the role
## Responsibilities • Ship production agents and automated workflows from a prioritized, business-validated backlog • Own each workflow from business scoping through build, deployment, monitoring, documentation, and handoff • Build Databricks data foundations, including Unity Catalog tables and views, Lakeflow pipelines, Lakeflow Connect ingestion, and Genie spaces • Bring ad-serving, partner-platform, CRM, support-desk, and finance data into a trusted centralized lakehouse • 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 • Partner with Core Engineering to expose platform data and actions as APIs • 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 with Claude Code and GitHub Copilot review • Ship one end-to-end workflow in the first 90 days and several production workflows by six months ## Requirements • 3+ years of professional software or data engineering experience, with strong Python and SQL • Built and shipped at least one LLM-powered application or agent that real users depend on, using tool calling, retrieval, structured outputs, and evaluation • Hands-on experience with Databricks (Spark, Delta Lake, Unity Catalog, Workflows) or a comparable lakehouse, or deep enough data engineering experience to ramp quickly • Experience integrating SaaS and internal systems through REST APIs, webhooks, and OAuth • Testing, instrumentation, and cost awareness • Clear communication with non-technical stakeholders and comfort 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 a related field, or equivalent practical experience ## 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 events • Recreational sports leagues • Networking with She Runs It • Quarterly outings to baseball games, fancy dinners, and pizza-making classes • Competitive bonus
Posted Nov 7, 2026
