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Staff Full Stack Engineer (Remote)

Posted 3 months agoViewed

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💎 Seniority level: Staff, Proven experience as a Staff Full Stack Engineer (or equivalent)

📍 Location: North America

🔍 Industry: Software Development

🗣️ Languages: English

⏳ Experience: Proven experience as a Staff Full Stack Engineer (or equivalent)

🪄 Skills: AWSBackend DevelopmentDockerArtificial IntelligenceFrontend DevelopmentFull Stack DevelopmentGitSoftware ArchitectureTypeScriptData StructuresNest.jsNext.jsCommunication SkillsCI/CDProblem SolvingRESTful APIsMicroservicesNodeJS

Requirements:
  • Proven experience as a Staff Full Stack Engineer (or equivalent), capable of leading projects end-to-end.
  • Strong proficiency in both frontend and backend development.
  • Extensive experience with TypeScript, including hands-on work with NestJS and NextJS.
  • Deep understanding of data structures, software architecture, and design patterns.
  • Experience leveraging AI tools like Cursor and ChatGPT to streamline development.
  • Hands-on experience with LLMs and integrating AI-driven solutions into applications.
  • Strong knowledge of AWS infrastructure and services.
  • Excellent problem-solving skills and ability to work in a collaborative team environment.
  • Effective communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders.
Responsibilities:
  • Design, build, and deploy AI models using LLMs to enhance network performance, predict issues, and improve customer experience.
  • Lead full stack development, ensuring seamless integration of AI-driven features across frontend and backend systems.
  • Take ownership of engineering projects end-to-end, from architecture and implementation to deployment and monitoring.
  • Utilize AI tools like Cursor and ChatGPT to accelerate development, enhance code quality, and improve efficiency.
  • Develop scalable and reliable APIs and microservices for real-time AI data processing and decision-making.
  • Ensure AI systems are efficient in handling high data volumes and user requests.
  • Collaborate with product managers, data scientists, and engineers to integrate AI features that improve service quality and efficiency.
  • Follow industry standards and security best practices to protect user data and privacy.
  • Continuously improve systems by leveraging user feedback and data analytics.
  • Create comprehensive documentation on AI models, full stack development, and best practices for knowledge sharing.
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