Software Engineer (AI Agents)

Sourced from apply.workable.com

Fluent is hiring its first dedicated AI Engineer to build production AI agents and automated workflows on its Databricks lakehouse. You will sit in Core Engineering, partnering with Data Engineering, Data Science, and Solution Architecture to turn business-validated requests into reliable, observable agents. The role is fully remote in the United States with occasional travel to the New York headquarters.

• Ship production agents and automated workflows from a prioritized, business-validated backlog, owning each from scoping through deployment, monitoring, and handoff
• Build the data foundation in Databricks: Unity Catalog tables and views, Lakeflow pipelines, Lakeflow Connect ingestion, and Genie spaces
• Work with Data Science to make agent quality measurable through evaluation sets, accuracy and drift tracking, and cost and latency instrumentation
• Integrate systems via APIs, webhooks, MCP servers, and orchestration tools such as Databricks Workflows, n8n, and GitHub Actions
• Build reusable components including Claude skills, MCP connectors, and prompt and evaluation libraries
• Handle consumer data in line with privacy and compliance standards and use AI-assisted development tools daily

• 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 used by real users, using tool calling, retrieval, structured outputs, and evaluation
• Hands-on experience with Databricks (Spark, Delta Lake, Unity Catalog, Workflows) or a comparable lakehouse
• Experience integrating SaaS and internal systems through REST APIs, webhooks, and OAuth
• Strong communication with non-technical stakeholders and comfort running working sessions with business teams
• Experience using AI coding assistants such as Claude Code or GitHub Copilot
• Bachelor's degree in computer science or related field, or equivalent practical experience

• Databricks Mosaic AI (Agent Framework, Model Serving, Vector Search), Genie, Lakeflow Declarative Pipelines, Lakebase, or Databricks Apps
• Building MCP servers or working with the Claude Developer Platform or Agent SDK
• Workflow orchestration tools such as n8n
• Integrations with HubSpot, Zendesk, NetSuite, or Jira
• Experience in ad tech, performance marketing, or regulated consumer data environments