Software Developer II

McAdams•Raleigh, NC

1d•Onsite

About The Position

McAdams is looking for a forward-thinking, highly capable developer who is energized by building modern business solutions that make work smarter, faster, and more impactful. In this role, you’ll help shape the future of internal technology by designing and delivering custom software applications, intelligent automations, and AI-powered solutions using a blend of low-code and pro-code tools. This is a hands-on role for someone who enjoys combining strong technical expertise with curiosity, innovation, and a passion for emerging technology, especially in the rapidly evolving world of generative AI.

Requirements

Bachelor’s degree in computer science, engineering, information systems or related field required
4+ years of experience in a developer or similar technical role; full-stack experience preferred
Advanced proficiency in JavaScript/TypeScript and Python required
Intermediate proficiency in Git workflows and managing projects via GitHub
Strong understanding of generative AI concepts, including advanced prompting, model selection, optimization, and machine learning fundamentals
Proven ability to translate business and technical requirements into application design
Strong communication skills and a collaborative, ownership-driven work ethic
Microsoft Azure Fundamentals Certification (or ability to attain in first 90 days)
Microsoft Azure AI Fundamentals Certification (or ability to attain in first 90 days)

Nice To Haves

Hands-on experience designing and deploying low-code/no-code solutions using Azure, Power Platform, Foundry, Copilot Studio, or similar tools is strongly preferred
Experience using REST APIs and JSON to integrate systems and services into business applications
Experience working in Scrum environments preferred; Scrum Master experience a plus

Responsibilities

Design, deploy, document, and continuously enhance custom software applications, business process automations, and AI solutions using both low-code and pro-code platforms.
Lead technical requirement-gathering sessions and translate business needs into thoughtful, scalable application designs.
Stay current on advancements in generative AI, including available models, their strengths and limitations, and the best fit for specific use cases.
Champion responsible AI practices by prioritizing solution accuracy, reliability, performance, and validation throughout the development lifecycle.
Collaborate with business innovation team members and stakeholders across the organization to deliver AI-powered insights and business value.
Explore emerging software development technologies and apply evolving best practices to improve solutions and workflows.
Write clean, high-quality, scalable code aligned with internal development standards.
Use AI-assisted development tools such as Claude Code, GitHub Copilot, or similar platforms to accelerate delivery and strengthen code quality.
Document solutions, processes, and technical decisions in a clear, consistent, and maintainable way.
Contribute actively to team collaboration, knowledge sharing, and continuous improvement.
Take ownership of assigned work, proactively communicate progress, and surface blockers early.
Help refine and strengthen the company’s internal development processes as the team and technology landscape evolve.