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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead GenAI Full-Stack Engineer - **Company:** Vision Square - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Salary:** $145,600.0 - $156,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Continuous Integration, Cursor (Graphical User Interface Elements), DevOps, Programming Tools, Distributed Systems, Python (Programming Language), OpenShift, Productivity Software, Systems Development Life Cycle, Software Engineering, TypeScript, Software Repository, Google Cloud, Enterprise Software Applications, Spring Cloud, GitHub Copilot, ReactJS, Multi-Agent Systems, Prompt Engineering, Software Application Programming, Generative AI, Git, Event Driven Architecture, AI Platforms, AngularJS, Information Technology, Virtual Agents, Restful APIs, Microservices - **Published:** July 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0d84e7ffcb4b29d8 ## About the Role * Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. * 10+ years of software engineering experience with strong full-stack development expertise. * Proven experience leading enterprise software development initiatives. * Hands-on experience developing applications using: + Java + Python + React or Angular + TypeScript * Strong experience with: + Distributed Systems + Microservices Architecture + Event-Driven Architecture + REST API Development & Integration * Experience implementing and maintaining: + CI/CD Pipelines + Developer Tooling Ecosystems * Experience with cloud platforms such as: + Google Cloud Platform (GCP) + OpenShift (OCP) Required GenAI Skills * Hands-on experience with enterprise Generative AI tools such as: + Devin + Claude / Anthropic Models + Cursor + GitHub Copilot or similar AI coding assistants * Strong understanding of: + Prompt Engineering + Retrieval-Augmented Generation (RAG) + Agent-Based Workflows + Multi-Agent Systems + Model Context Protocol (MCP) + AI Orchestration & Tool Chaining + Autonomous Agentic Systems, * Experience driving enterprise-wide AI adoption initiatives. * Experience working in regulated enterprise environments with governance and compliance requirements. * Strong leadership and mentoring experience. * Excellent communication and stakeholder management skills. * Experience collaborating with cross-functional engineering and business teams. * Passion for emerging AI technologies and developer productivity improvements. Required Technical Skills * Java * Python * React * Angular * TypeScript * Microservices * Distributed Systems * Event-Driven Architecture * REST APIs * CI/CD * Git * OpenShift (OCP) * Google Cloud Platform (GCP) * Devin * Claude / Anthropic * Cursor * GitHub Copilot * Prompt Engineering * Retrieval-Augmented Generation (RAG) * Model Context Protocol (MCP) * Agentic AI * Multi-Agent Systems * AI Orchestration * Developer Productivity Tools Preferred Skills * Enterprise AI Platform Implementation * Software Development Lifecycle (SDLC) * DevOps * Cloud-Native Applications * API Integration * Enterprise Architecture * Technical Leadership * AI Governance * Security & Compliance ## Description We are seeking a highly skilled Lead GenAI Full Stack Engineer to lead the enterprise-wide rollout and adoption of Generative AI solutions across engineering teams. The ideal candidate will have strong full-stack development expertise, hands-on experience with modern GenAI tools, and a proven ability to integrate AI capabilities into enterprise software development workflows. This is a hands-on technical leadership role where you will drive AI-powered developer productivity, implement enterprise AI solutions, and collaborate with cross-functional teams to modernize the software development lifecycle., * Lead the end-to-end implementation and enterprise rollout of Generative AI tools such as Devin, Claude Code, Cursor, GitHub Copilot, and similar developer productivity platforms. * Design and implement scalable AI-enabled development workflows across engineering teams. * Develop and integrate enterprise applications using Java, Python, React/Angular, and TypeScript. * Build and integrate AI capabilities into enterprise SDLC processes, including CI/CD pipelines, code repositories, APIs, and automation workflows. * Define rollout strategies, implementation roadmaps, and onboarding plans for enterprise-wide AI adoption. * Partner with engineering and business teams to improve software delivery using Generative AI technologies. * Conduct developer enablement sessions, technical workshops, and training on AI tools, prompt engineering, and best practices. * Monitor adoption metrics, usage analytics, and platform performance while driving continuous improvement. * Troubleshoot implementation challenges and optimize AI tool performance at scale. * Develop reusable playbooks, standards, and governance models for enterprise AI adoption. * Ensure compliance with enterprise security, governance, and regulatory standards. * Collaborate with cross-functional stakeholders to translate business requirements into scalable technical solutions. ## Related Videos - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [The Future of Developer Experience with GenAI: Driving Engineering Excellence](https://www.wearedevelopers.com/videos/1107-the-future-of-developer-experience-with-genai-driving-engineering-excellence) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [The State of GenAI & Machine Learning in 2025](https://www.wearedevelopers.com/videos/1383-the-state-of-genai-machine-learning-in-2025) ## Related Articles - [Got AI ideas but no money? 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