AI Software Engineer

Role Overview

The Full Stack Systems Engineer is responsible for building and maintaining the technical systems that power our FinTech's core business workflows. This role owns a mission-critical platform that sits at the center of sales, underwriting, and operational execution. You will focus on system architecture, automation, integrations, data integrity, and technical reliability. While Salesforce is a major component of this environment, the mandate is broader: building scalable internal infrastructure, not just managing a CRM.

You will also explore and implement AI-driven enhancements across internal systems. This includes identifying opportunities to use AI for workflow automation, operational intelligence, data enrichment, and internal productivity tools that improve how sales, underwriting, and operations teams work.

This is a full-time, in-office role for someone who thrives in detail-heavy environments and treats business systems like production software.

What Success Looks Like

• Core operational workflows run through reliable, automated systems
• Clean data and structured architecture across revenue infrastructure
• Minimal manual workarounds or process drift
• Stable integrations with no silent failures or broken pipelines
• Leadership has accurate dashboards and real-time visibility
• Fast resolution of system bottlenecks and operational breakdowns

Core Responsibilities

Systems Ownership & Architecture

• Own the technical backbone of internal business systems and workflows
• Design scalable architecture for lead, deal, and underwriting pipelines
• Maintain governance, structure, and long-term platform reliability
• Treat internal tools as production infrastructure, not ad-hoc software

Automation & Workflow Engineering

• Build automation that reduces manual operational load
• Develop and maintain workflow logic, validation layers, and process controls
• Ensure business-critical automations are predictable, testable, and documented
• Identify structural inefficiencies and implement technical fixes

Integrations & Full Stack Development

• Build and maintain integrations between internal platforms and third-party tools
• Develop API-driven connections across systems
• Troubleshoot data flow failures, sync issues, and pipeline breakpoints
• Write lightweight backend services or scripts when needed to extend platform capability

AI & Intelligent Automation

• Identify opportunities to integrate AI into internal workflows and operational systems
• Develop AI-assisted tools to support sales operations, underwriting insights, and internal productivity
• Leverage AI APIs and models to automate repetitive workflows and improve decision-support systems
• Build internal AI utilities that interact with company data, dashboards, and operational processes

Data Integrity & Reporting Infrastructure

• Maintain clean, enforceable data models across business systems
• Build dashboards and reporting layers that reflect operational truth
• Monitor for data drift, duplication, and process breakdowns

Documentation & Process

• Document architecture, automation logic, and system workflows
• Build repeatable processes instead of tribal knowledge
• Maintain structured change management and deployment discipline

Must-Have Skills

• 3-5 years of IT experience
• Experience with Salesforce
• Strong engineering mindset applied to internal business systems
• Experience building workflow automation and process-driven tooling
• Comfort working with APIs, integrations, and distributed systems
• Strong understanding of data models, validation, and system governance
• Ability to troubleshoot complex operational systems end-to-end
• High attention to detail and structured execution

Nice-to-Have Skills

• Apex, Lightning Web Components, or platform customization experience
• Backend development experience (Node.js, Python, Java, etc.)
• Familiarity with cloud infrastructure (Azure, Entra, Defender, Intune)
• Experience in fintech, lending, or high-velocity sales organizations
• DevOps exposure (CI/CD, version control, deployment workflows)
• Experience integrating AI tools or APIs into internal business systems
• Familiarity with LLM APIs (OpenAI, Anthropic, etc.) or AI workflow tools
• Experience building AI-assisted automation or internal productivity tools

Pay: $95,000.00 - $132,274.22 per year

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

Work Location: In person