ApplyStaff 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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