Principal Full Stack Engineer (Agentic Systems & Enablement)

Accountabilities:: As a Principal Full Stack Engineer, you will lead by example through hands-on software development, technical consulting, and engineering enablement. You will help client teams adopt production-ready agentic development practices while ensuring that software quality, architectural consistency, and delivery standards remain high. Full Stack Development & Delivery: Build, enhance, and maintain complex enterprise applications using Java, Spring Boot, TypeScript, and React. Develop backend services, APIs, and modern frontend components that meet business and technical requirements. Contribute directly to production features throughout the development lifecycle, from requirements gathering to implementation and deployment. Navigate unfamiliar repositories, understand existing architectures, and identify opportunities for technical improvements. Agentic Systems & AI-Assisted Development: Introduce and scale production-ready agentic software engineering practices within existing enterprise codebases. Leverage advanced Claude Code workflows to accelerate feature development, testing, refactoring, and debugging. Configure AI agents, repository memory files, architectural context, sub-agents, custom skills, and development guardrails. Design structured workflows for task decomposition, context management, automated verification, and code review. Optimize repository structures and documentation to support reliable AI-assisted development. Implement deterministic guardrails that maintain code quality, architectural consistency, and predictable AI-generated outputs. Technical Enablement & Mentorship: Mentor and upskill engineers through hands-on pairing, collaborative coding, and practical knowledge sharing. Demonstrate the value of agentic development through real production work rather than theoretical recommendations. Adapt coaching approaches and technical explanations to developers with different levels of AI-assisted development experience. Help engineering teams incorporate new tools and workflows into their daily development practices. Document reusable engineering patterns, technical decisions, and best practices to support broader adoption. Technical Leadership & Consulting: Work directly with client engineering teams to identify technical challenges and implement effective solutions. Provide guidance on architecture, repository organization, development workflows, and engineering standards. Collaborate with cross-functional Agile teams to deliver high-quality software aligned with business objectives. Identify opportunities to improve development efficiency, software quality, and delivery performance. Measure and demonstrate improvements in engineering productivity, development cycle time, and overall team capabilities. Requirements : The ideal candidate is a senior technical professional with extensive full-stack engineering experience and a strong background in AI-assisted software development. You should combine deep technical expertise with a practical understanding of agentic systems, excellent mentoring capabilities, and the ability to influence engineering teams through hands-on collaboration. 10+ years of professional software engineering experience building and delivering complex enterprise applications. Strong hands-on expertise in Java and Spring Boot, including backend services, APIs, and enterprise application development. Advanced proficiency in TypeScript and React, including modern frontend architecture and build tools such as Vite. At least 2 years of experience with agentic coding workflows, tool-augmented LLM programming, and AI-assisted development in production environments. Advanced practical experience with Claude Code, including agent configuration, repository memory files, architectural context, sub-agents, custom skills, and development guardrails. Proven experience integrating agentic development workflows into existing enterprise codebases to accelerate feature delivery, testing, and refactoring. Strong understanding of repository architecture, code organization, automated testing, and technical documentation. Experience designing structured engineering workflows involving task decomposition, context management, automated verification, and code review. Ability to implement deterministic guardrails that ensure code quality, architectural consistency, and reliable AI-generated outputs. Demonstrated experience mentoring and developing software engineers, particularly through hands-on pairing and collaborative development. Ability to work directly with client engineering teams and adapt technical guidance to different experience levels. Strong background working within Agile and cross-functional product teams, delivering production features from requirements through deployment. Ability to independently understand complex enterprise applications, navigate unfamiliar codebases, and identify engineering improvements. Excellent communication, collaboration, and consulting skills, with the ability to translate advanced technical concepts into practical development practices. Preferred Qualifications: Experience working with legacy COBOL systems or enterprise modernization initiatives involving legacy technologies. Experience developing custom Claude Code skills, sub-agents, repository-level instructions, and reusable agentic workflows. Background designing AI-assisted engineering enablement programs or introducing agentic development practices across engineering teams. Familiarity with prompt harnesses, context orchestration, automated testing loops, and agent-driven software development patterns. Experience improving software delivery efficiency through AI-assisted code generation, refactoring, debugging, and automated verification. Previous experience in consulting or customer-facing technical leadership positions. Strong documentation skills, particularly in creating reusable engineering patterns, architectural decisions, and technical enablement resources. Experience measuring improvements in engineering productivity, development cycle time, and software quality. Benefits : Fully remote working environment. Opportunity to work with a global team of experienced technology professionals. Hands-on experience building production-ready applications with Java, Spring Boot, TypeScript, and React. Opportunity to introduce and scale advanced agentic software development practices within enterprise engineering teams. Access to modern AI development tools, including Claude Code. Opportunity to mentor developers through collaborative coding and practical technical knowledge sharing. Significant autonomy to shape technical approaches, tooling configurations, and engineering practices. Exposure to complex enterprise challenges and emerging AI-driven software development technologies. Opportunity to make a measurable impact on software delivery efficiency and engineering team capabilities. Collaborative team culture that values individual strengths, shared achievements, and continuous innovation.