Staff Full Stack Engineer (LLM & Generative AI)
Description For Staff Full Stack Engineer (LLM & Generative AI)
Zscaler, a leading cloud security company, is seeking a Staff Full Stack Engineer specializing in Large Language Models (LLMs) and Generative AI. This role requires expertise in both front-end and back-end development, combined with a deep understanding of LLMs, NLP, and cloud services. The ideal candidate will lead the development and integration of AI solutions within enterprise environments, design scalable interfaces and robust back-end services, implement APIs, and deploy Slack bots and web widgets. Key responsibilities include:
- Develop and integrate AI solutions using LLMs in enterprise environments
- Full stack development of scalable front-end interfaces and back-end services
- Design and implement APIs for AI model communication
- Implement DevOps practices and CI/CD pipelines
- Deploy and maintain Slack bots and web widgets integrated with AI services
- Collaborate with cross-functional teams to deliver integrated AI solutions
- Oversee deployment and optimization of machine learning models in cloud environments
- Stay updated on AI/ML advancements and contribute to engineering best practices
The role requires strong experience in NLP and LLMs, proficiency in front-end (e.g., React, Angular) and back-end technologies (e.g., Node.js, Python, Java), deep understanding of cloud services, DevOps tools, and API design. Preferred qualifications include 8+ years of experience with Generative AI applications, Slack bot deployment, and AI/ML model deployment in cloud environments.
Zscaler offers comprehensive benefits, including multiple health plans, flexible time off, hybrid working model, parental leave, retirement options, and education reimbursement. The company is committed to diversity, equity, and inclusion, fostering a culture where everyone belongs.
Responsibilities For Staff Full Stack Engineer (LLM & Generative AI)
- Develop and integrate AI solutions 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 efficient deployment, monitoring, and scaling of 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 to deliver integrated AI solutions
- 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 and contribute to continuous improvement of engineering best practices
Requirements For Staff Full Stack Engineer (LLM & Generative AI)
- Strong 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)
- Deep understanding of cloud services (e.g., AWS, GCP, Azure) and their application in deploying AI models
- Experience with DevOps tools and practices (e.g., Docker, Kubernetes, Jenkins)
- Expertise in API design and development
- 8+ years of experience with Generative AI applications and frameworks (preferred)
- Experience in deploying and managing Slack bots and web widgets (preferred)
- Familiarity with AI/ML model deployment in cloud environments using frameworks like TensorFlow, PyTorch, or Hugging Face (preferred)
- Strong problem-solving and analytical skills with the ability to work in an Agile environment
Benefits For Staff Full Stack Engineer (LLM & Generative AI)
- Multiple health plans
- Flexible time off policy
- Hybrid Working Model
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks
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