Devin AI & Claude Code

Client : Mphasis End Client : Wells Fargo Location : Charlotte, North Carolina AI Software Engineer (Devin AI & Claude Code) Role Summary: Work alongside engineering teams to deliver software using Devin AI, Claude Code, and modern AI-assisted development practices. Contribute to the creation of reusable AI engineering assets, accelerate delivery, and help establish scalable development workflows that improve productivity and engineering quality. 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 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 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 This role positions the hire as a hands-on AI-augmented engineer, not just a traditional software developer—someone expected to both build software and create reusable AI artifacts that increase the effectiveness of the broader engineering organization.