Software Engineer – AI Agents

Fluent, Inc

. Build and ship production AI agents and automated workflows from a business-validated backlog .

Posted 11/7/2026full-timeRemote • Illinois • United StatesMid-LevelSenior💰 $130,000 - $155,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and shipping AI agents and automated workflows, with strong proficiency in Python and SQL. Capable of integrating systems through APIs and managing data engineering tasks within Databricks while ensuring compliance with privacy standards.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyDatabricks ExperienceAPI IntegrationAI-Assisted Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringWorkflow DevelopmentLLM-Powered Application DevelopmentTesting and InstrumentationCost Awareness

Soft Skills

Clear CommunicationFacilitation of Working Sessions

Tools & Technologies

DatabricksClaude CodeGitHub CopilotREST APIsWebhooks

Certifications & Qualifications

Bachelor's Degree in Computer Science

Industry Keywords

AI AgentsAutomated WorkflowsData FoundationsPrivacy StandardsE-Verify Program

Tech Stack

Tools & technologies

PythonSparkSQLUnity

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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