Software Engineer (AI Agents)
Role Overview
Fluent is hiring its first dedicated AI Engineer to turn existing AI pilots into production agents and automated workflows.
The role sits in Core Engineering and works with Data Engineering, Data Science, and Solution Architecture.
The position is fully remote in the United States, with occasional travel to the New York headquarters.
Key Skills for This Role
Full Job Posting
Role overview
Fluent is hiring its first dedicated AI Engineer to turn existing AI pilots into production agents and automated workflows.
The role sits in Core Engineering and works with Data Engineering, Data Science, and Solution Architecture.
The position is fully remote in the United States, with occasional travel to the New York headquarters.
What you'll do
- Own production workflows from business scoping through build, deployment, monitoring, documentation, and handoff.
- Build Databricks data foundations using Unity Catalog, Lakeflow, ingestion integrations, and Genie spaces.
- Bring advertising, partner, CRM, support, and finance data into a trusted shared environment.
- Establish agent evaluations and track accuracy, drift, cost, and latency; add audit fields and failure alerts.
- Integrate systems through APIs, webhooks, MCP servers, and orchestration, replacing brittle automations.
- Partner with Core Engineering to expose platform data and actions through APIs.
- Build reusable skills, connectors, prompt and evaluation libraries, and playbooks.
- Follow consumer-data privacy and compliance standards and coordinate approved AI tools, credentials, and access.
- Demo weekly, document work in Confluence, share learnings, and use AI-assisted development tools.
Requirements
- At least three years of software or data engineering experience, with strong Python and SQL.
- Have shipped an LLM-powered application or agent used by real users, using tool calling, retrieval, structured outputs, and evaluation.
- Hands-on Databricks or comparable lakehouse experience, or deep data engineering experience to ramp quickly.
- Experience integrating SaaS and internal systems through REST APIs, webhooks, and OAuth.
- Testing, instrumentation, cost awareness, and readiness to hand off owned workflows are expected.
- Clear communication with nontechnical colleagues and comfort running business-team working sessions are required.
- Experience with AI coding assistants such as Claude Code or GitHub Copilot is required.
- A computer science or related bachelor's degree, or equivalent practical experience, is required.
Preferred experience
- Databricks Mosaic AI, Genie, Lakeflow Declarative Pipelines, Lakebase, or Databricks Apps experience is a plus.
- MCP server development or experience with the Claude Developer Platform or Agent SDK is a plus.
- Experience with n8n or integrations involving HubSpot, Zendesk, NetSuite, or Jira is a plus.
- Ad tech, performance marketing, or regulated consumer-data experience is a plus.
Success measures
Within 90 days, ship one end-to-end workflow with a named business owner and results Finance can validate.
Within six months, have several workflows in production, a reusable component adopted by another builder, and a clear next-quarter backlog.
Benefits
- Benefits include health, dental, and vision insurance; pre-tax savings and transit or parking programs; and a 401(k) with employer match.
- The employer also mentions career growth opportunities, educational and social events, volunteer activities, and office meals and events.
Salary range
- The listed base salary range is CAD 130,000 to CAD 155,000, plus a competitive bonus.
- The employer says actual salary varies with factors including location, experience, and performance.
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