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Fluent

Performance-based commerce media advertising platform

Software Engineer - AI Agents

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 3 years of professional software or data engineering experience, with strong Python and SQL.
  • Have built and shipped at least one LLM-powered application or agent that real users depend on, using tool calling, retrieval, structured outputs, and evaluation.
  • Have hands-on experience with Databricks (Spark, Delta Lake, Unity Catalog, and Workflows) or a comparable lakehouse, or sufficient data engineering experience to ramp quickly.
  • Have experience integrating SaaS and internal systems through REST APIs, webhooks, and OAuth.
  • Test and instrument work, care about cost, and know when a workflow is ready to be owned by someone else.
  • Communicate clearly with non-coders and be comfortable running a working session with a business team.
  • Have experience using AI coding assistants such as Claude Code or GitHub Copilot as part of a modern engineering workflow.
  • Have a bachelor's degree in computer science or a related field, or equivalent practical experience.

Responsibilities

  • Ship production agents and automated workflows from a prioritized, business-validated backlog; own each from scoping with the business owner through build, deployment, monitoring, documentation, and handoff.
  • Build the workflows' data foundation in Databricks using Unity Catalog tables and views, Lakeflow pipelines, Lakeflow Connect ingestion from systems such as HubSpot, and Genie spaces for plain-language business queries; bring data from ad-serving and partner platforms, CRM, support desk, and finance systems into a trusted common environment.
  • Work with Data Science to measure agent quality through evaluation sets, accuracy and drift tracking, cost and latency instrumentation, audit fields, and failure alerts for each production workflow.
  • Integrate with company systems through APIs, webhooks, MCP servers, and orchestration tools such as Databricks Workflows, n8n, and GitHub Actions; replace brittle point-to-point automations with maintained, observable workflows.
  • Partner with Core Engineering to expose platform data and actions as APIs for agents and business teams to use directly.
  • Build reusable Claude skills, MCP connectors, prompt and evaluation libraries, and playbooks for other builders.
  • Handle consumer data in accordance with privacy and compliance standards, use only approved AI tools, and work with IT and Security on credentials and access.
  • Demo work weekly, document it in Confluence, and share learning in brown bags and tech talks.
  • Use AI-assisted development, including Claude Code and GitHub Copilot review, as part of day-to-day work.

Desired Qualifications

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

About the Company

Fluent

Performance-based commerce media advertising platform

Fluent is a commerce media solutions provider delivering performance-based digital marketing to help brands acquire customers. It uses first-party data from opted-in users and a 200-million-strong identity graph to target high-intent audiences and offer real-time, personalized deals, including its adflow product that places ads on retailers’ post-purchase pages. The company differentiates itself with exclusive ad inventory, strategic retail and media partnerships, and a pay-for-performance model that goes beyond traditional digital ads. Its goal is to help brands monetize the customer journey and achieve measurable outcomes across industries such as retail, media, finance, and health sciences.

Company size
201-500
Company stage
IPO
Headquarters
New York City, New York
Founded
2010

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