Software Engineer, AI Agents

Fluent, Inc

. Ship production agents and automated workflows from a prioritized, business-validated backlog .

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying data workflows and applications, particularly with Databricks and Python. Proficient in integrating systems through APIs and ensuring compliance with data privacy standards.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyDatabricks ExperienceAPI IntegrationAI Coding Assistants

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringWorkflow AutomationLakehouse ArchitectureLLM-Powered ApplicationsTesting and Instrumentation

Soft Skills

Clear CommunicationCollaboration with Non-Technical Stakeholders

Tools & Technologies

Databricks WorkflowsClaude CodeGitHub CopilotREST APIsWebhooks

Certifications & Qualifications

Bachelor's Degree in Computer Science

Industry Keywords

Data Privacy StandardsCost AwarenessBusiness ScopingMonitoring and DocumentationCentralized Lakehouse

Tech Stack

Tools & technologies

PythonSparkSQLUnity

About the role

Key responsibilities & impact

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

What you’ll need

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

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 events
Recreational sports leagues
Networking with She Runs It
Quarterly outings to baseball games, fancy dinners, and pizza-making classes
Competitive bonus