Role: Gen AI Engineer- Devin AI and Claude Code
Location: Charlotte, NC, Onsite ,
Need Only locals Client Note: Need to onboard 4 additional resources in the US, with strong Devin AI and Claude Code skills ASAP.
(Note – These are NOT generic Software Engineer or generic AI Developer positions, but very specific Devin AI and Claude Code skills required)
Key Responsibilities:
Design, develop, test, and deploy software solutions in partnership with engineering teams.
Leverage Devin AI and Claude Code to accelerate development, testing, debugging, documentation, and modernization initiatives.
Create and maintain reusable AI artifacts including Devin Playbooks, Knowledge assets, CLAUDE.md files, Skills, and Hooks.
Contribute to repository onboarding and AI workflow standardization efforts.
Collaborate with architects, product owners, and engineers to deliver high-quality software solutions.
Ensure AI-generated code meets engineering, security, quality, and compliance standards.
Continuously evaluate and improve AI-assisted development workflows and engineering practices.
Share best practices and lessons learned across development teams.
Ideal Candidate
Strong software engineering and software delivery experience.
Experience with modern development practices, CI/CD, testing, and cloud-native applications.
Hands-on experience using AI coding tools such as Devin, Claude Code, GitHub Copilot, or similar platforms.
Ability to effectively collaborate with AI agents to plan, build, test, and maintain software solutions.
Strong problem-solving, communication, and teamwork skills.
Passion for improving developer productivity through automation and AI-assisted engineering.
Success Looks Like
Delivers software faster while maintaining high quality standards.
Effectively leverages Devin and Claude Code as part of daily development activities.
Creates reusable Playbooks, Knowledge assets, Skills, Hooks, and workflow templates that benefit multiple teams.
Contributes to a growing catalog of AI engineering assets and best practices.
Helps reduce development cycle times and improve engineering throughput.
Demonstrates strong ownership, collaboration, and continuous improvement in AI-assisted software development.
Nice-to-Have Skills
Agentic AI development
GenAI application development
RAG and workflow automation
Prompt and context engineering
DevOps and platform engineering experience
API and microservices development