Staff Full Stack Engineer - LLM/Generative AI
Description For Staff Full Stack Engineer - LLM/Generative AI
Zscaler, founded in 2007, is a leading cloud security company serving thousands of enterprise customers worldwide, including 40% of Fortune 500 companies. As the operator of the world's largest security cloud, Zscaler accelerates digital transformation, making the cloud a safe place for business. The company's AI-powered Zscaler Zero Trust Exchange™ platform protects enterprises from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
We are seeking a Staff Full Stack Engineer with expertise in Large Language Models (LLMs), Generative AI, and experience in deploying bots and web widgets. Reporting to the Senior Manager of Data Science, you will lead the development and integration of AI-driven applications within enterprise environments. Your responsibilities will include designing scalable front-end interfaces and robust back-end services, implementing APIs, optimizing CI/CD pipelines, and developing Slack bots and web widgets that integrate with AI services.
Key responsibilities:
- Lead development of LLM and AI-driven applications
- Design and implement APIs for AI model integration
- Optimize CI/CD pipelines for AI applications
- Develop and maintain Slack bots and web widgets
- Collaborate with cross-functional teams
- Oversee deployment and optimization of ML models in cloud environments
This role offers an opportunity to work with cutting-edge AI technologies in a fast-paced, collaborative environment. Join Zscaler to make your mark in the world of cloud security and AI innovation.
Responsibilities For Staff Full Stack Engineer - LLM/Generative AI
- Lead the development and integration of applications utilizing LLMs and other AI-driven services within enterprise environments
- Design, develop, and maintain scalable front-end interfaces and robust back-end services
- Design and implement APIs to facilitate communication between AI models, front-end applications, and other enterprise services
- Implement and optimize CI/CD pipelines for AI-driven applications
- Develop, deploy, and maintain Slack bots and web widgets that integrate with AI services
- Work closely with product management, data science, and other engineering teams
- Oversee the deployment, monitoring, and optimization of machine learning models, particularly LLMs, in a cloud-native environment
- Stay abreast of the latest advancements in AI/ML technologies
- Working in an Agile environment
Requirements For Staff Full Stack Engineer - LLM/Generative AI
- 8+ years of experience with Generative AI applications and frameworks (e.g., GPT, DALL-E)
- Experience in Natural Language Processing (NLP) and working with LLMs
- Proficiency in both front-end technologies (e.g., React, Angular) and back-end technologies (e.g., Node.js, Python, Java) and expertise in API
- Experience with cloud services (e.g., AWS, GCP, Azure) and their application in deploying AI models, DevOps tools and practices (e.g., Docker, Kubernetes, Jenkins)
Benefits For Staff Full Stack Engineer - LLM/Generative AI
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks
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