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Gugu Robotics

Staff Full Stack Engineer

Gugu Robotics

Staff Full Stack Engineer leading design and delivery of complex platforms at applied AI engineering firm. Collaborating with teams to deliver measurable results, focusing on AI integration.

Posted 7/21/2026full-timeRemote • 🇨🇴 ColombiaLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in leading complex full-stack initiatives, with deep proficiency in front-end frameworks like React and Angular, and back-end technologies such as Node.js and Python. Capable of integrating AI services into production systems while ensuring high performance, scalability, and security.

Highest-signal resume keywords
Full-Stack DevelopmentReact or Angular ProficiencyAPI ArchitectureAI Services IntegrationCloud Platforms Experience

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
ReactAngularTypeScriptNode.jsPythonRelational DatabasesNoSQL DatabasesMicroservices ArchitectureCI/CD PipelinesState Management
Soft Skills
LeadershipTechnical MentoringStakeholder Communication
Tools & Technologies
FigmaCI/CD ToolsContainer OrchestrationModern CSS Frameworks
Industry Keywords
Integration-Heavy PlatformsDesign SystemsPerformance OptimizationSecurity Best PracticesEvent-Driven Systems

Tech Stack

Tools & technologies
AngularCloudJavaScriptMicroservicesNext.jsNode.jsNoSQLPythonReactTypeScript

About the role

Key responsibilities & impact
  • Lead the design and delivery of complex, integration-heavy platforms
  • Define front-end architecture and technical strategy, designing scalable platforms and leading complex UI systems development (e.g., React, Angular, Next.js, TypeScript)
  • Define front-end standards and best practices, and contribute to shared design systems
  • Lead back-end development and API architecture, integrating complex systems and third-party platforms (e.g., Node.js, Python)
  • Design efficient database schemas and optimize performance across relational and NoSQL systems
  • Drive backend performance, scalability, and reliability, and own implementation of security best practices including authentication and authorization
  • Lead monitoring, observability, and reliability practices across production systems
  • Lead the design and integration of AI services into production full-stack systems, including LLM APIs, streaming, tool and function calling, multi-step agent flows, and RAG patterns
  • Bring an AI-forward mindset to your daily work, using tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace
  • Collaborate closely with cross-functional teams to align technical decisions with product and business goals
  • Communicate complex technical tradeoffs and architectural decisions clearly across engineering and non-engineering stakeholders
  • Lead code reviews and design discussions, raising the quality bar for the team
  • Establish front-end and full-stack engineering standards that lift quality and consistency across the team
  • Mentor junior and mid-level engineers, helping them grow their craft, confidence, and impact
  • Make architectural decisions with thoughtful consideration of tradeoffs and long-term implications

Requirements

What you’ll need
  • 7+ years of professional software engineering experience, with experience leading complex full-stack initiatives
  • Deep proficiency in React or Angular with strong JavaScript and TypeScript skills (e.g., React, Angular, Next.js)
  • Strong experience with state management
  • Strong command of modern CSS frameworks and build tooling
  • Strong back-end development and API architecture experience (e.g., Node.js, Python)
  • Strong testing practices across unit, integration, and UI testing
  • Deep expertise in relational and NoSQL databases, caching, and query optimization
  • Strong experience with microservices architecture, event-driven systems, and message queues
  • Strong experience with cloud platforms and container orchestration
  • Strong experience with CI/CD pipelines
  • Strong experience integrating AI services into production full-stack systems, including LLM APIs, streaming, tool and function calling, multi-step agent flows, and RAG patterns
  • Comfort working closely with design tools and partners to ship polished, accessible UI (e.g., Figma)
  • Demonstrated leadership and technical mentoring experience across a team or organization
  • Strong stakeholder communication skills, with the ability to translate technical depth across audiences.

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Professional development opportunities