Developer I (Automation & AI Solutions), Imaging

McLeod Software•Hoover, AL

About The Position

The Software Developer – Automation & AI Solutions will design and develop software that automates business processes, improves customer workflows, and introduces new AI-enabled capabilities into McLeod's DocumentPower and Logix Solution platforms.

Requirements

Strong software development fundamentals.
AI & LLM Development Experience.
Automation and Workflow Problem Solving.
Modern Application and Integration Skills.
Technical Agility and Problem Solving.
Bachelor’s degree, required.
2+ years of professional software development experience.
Strong software engineering fundamentals and demonstrated experience developing production software required.
Demonstrated progressive experience – gradual advancement in responsibilities, complexity, and skills indicating clear career progression, required.
Strong software engineering fundamentals required.
Experience with AI-powered applications, LLMs, or AI agents, along with software architecture, object-oriented development, debugging, and problem-solving skills required.

Nice To Haves

Experience with modern web development, APIs, system integrations, relational databases, Agile methodologies, preferred.
Experience with the following preferred: JavaScript, TypeScript, React, C++, SQL, REST APIs, Git, AI/LLM platforms and APIs, AI agents and agentic workflows, document processing/OCR, workflow automation, commercial or enterprise software development, and document management, imaging, or logistics applications.

Responsibilities

Designing and delivering reliable software solutions that automate business processes and improve customer workflows.
Developing and integrating AI, LLM and other intelligent automation capabilities into McLeod's DocumentPower and Logix Solution platforms.
Design, develop, test and maintain software for new and existing applications.
Develop automation and workflow solutions that improve customer and business processes.
Develop and integrate AI and Large Language Model (LLM) capabilities into software applications and workflows.
Build modern web applications, APIs, services and integrations with internal and external systems.
Work across existing codebases and technology stacks to enhance and modernize established products.
Create prototypes and proofs of concept to evaluate new AI and automation capabilities.
Troubleshoot complex software and customer business challenges.
Participate in architectural discussions and technology evaluations.
Work closely with Product Management and other stakeholders to translate business requirements into effective technical solutions.
Ensure software quality, performance, reliability and maintainability through sound software engineering practices.