Principal Full Stack Engineer, Agentic Systems – Enablement

🔥 10 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 12%

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Modus Create

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Modus Create is a digital transformation consulting firm dedicated to helping clients build competitive advantage through digital innovation. Our global team of strategists, designers, and technologists has helped the world’s biggest brands deliver powerful experiences. We specialize in strategic consulting, full lifecycle product development, platform modernization, and digital operations.

📋 Description

• Accelerate feature delivery across complex enterprise applications • Introduce and scale production-ready agentic software engineering practices • Work directly within a client’s engineering team • Develop production features using Java, Spring Boot, TypeScript, and React • Use Claude Code workflows to support AI-assisted development • Optimize existing repositories for AI-assisted development • Contribute to feature delivery, testing, and refactoring • Mentor engineers on incorporating agentic coding into daily work • Demonstrate AI-driven engineering practices through collaborative coding and real feature delivery • Provide practical knowledge sharing and technical enablement • Design repository structures, context-management strategies, and reliable development guardrails • Collaborate with Agile, cross-functional product teams from requirements through deployment

🎯 Requirements

• 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 with TypeScript and React, including modern frontend architecture and build tooling such as Vite • 2+ years of experience with agentic coding workflows, tool-augmented LLM programming, and AI-assisted development in production environments • Advanced hands-on experience with Claude Code, including agent configuration, repository memory files, architectural context, sub-agents, custom skills, and development guardrails • Experience integrating agentic development workflows into existing enterprise codebases • Strong understanding of repository architecture, code organization, automated testing, and technical documentation • Experience defining structured development workflows, including task decomposition, context management, automated verification, and code review • Ability to design and implement deterministic guardrails • Demonstrated experience mentoring and upskilling software engineers • Ability to work directly with client engineering teams and adapt technical explanations and coaching approaches • Strong experience working within Agile, cross-functional product teams • Ability to independently navigate complex enterprise applications and unfamiliar codebases • Excellent communication, collaboration, and consulting skills • Bonus: experience with legacy COBOL systems or enterprise modernization initiatives • Bonus: experience building custom Claude Code skills, sub-agents, repository-level instructions, and reusable agentic development workflows • Bonus: experience designing AI-assisted engineering enablement programs • Bonus: familiarity with prompt harnesses, context orchestration, automated testing loops, and agent-driven software development patterns • Bonus: experience improving software delivery efficiency through AI-assisted code generation, refactoring, debugging, and automated verification • Bonus: experience in consulting or customer-facing technical leadership roles • Bonus: experience documenting reusable engineering patterns and architectural decisions • Bonus: experience measuring engineering productivity, development cycle time, and software quality

🏖️ Benefits

• Fully remote work • Collaborative, innovative environment • Autonomy to shape technical approaches, tooling configurations, and engineering practices • Mentoring and knowledge-sharing opportunities • Opportunity to work with global teams and clients • Exposure to emerging AI development paradigms

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