Sr. Software Engineer- Agentic AI & Digital Experience

Zscaler • San Jose, CA

67d • $112,000 - $160,000 • Hybrid

About The Position

Zscaler is looking for an experienced Sr. Machine Learning Engineer to join our Digital Experience team. This role is hybrid and based in our San Jose, CA office three days a week. Reporting to the Sr. Director, Software Engineering, you'll be responsible for building agentic AI features, shipping resilient services, and operating with excellence in a fast-paced environment. The position involves implementing tool-use workflows, designing microservices, and ensuring the reliability and scalability of services.

Requirements

• BS in CS (or related) with 4+ years experience, or MS with 2+ years, delivering ML/GenAI features to production
• Exceptional problem-solving skills driven by first-principles thinking, applying expertise in programming, data, and machine learning
• Proven experience in the full ML model lifecycle- building, deployment, monitoring, and optimization
• Hands-on experience with modern GenAI stacks (e.g., LangChain/LangGraph, CrewAI, vector stores, RAG, prompts/memory, evaluators)
• Solid distributed systems fundamentals (APIs, queues, caching, concurrency) and cloud experience (Docker/Kubernetes, CI/CD; AWS/GCP/Azure)

Nice To Haves

• Prior delivery of agentic/LLM systems in production, including context engineering and memory management strategies
• Experience fine-tuning and serving LLMs/SLMs at scale (latency, cost, safety, evals)

Responsibilities

• Build agentic AI features: implement tool-use workflows (planning, memory, context), retrieval/RAG, and evaluators; harden for scale and reliability
• Ship resilient services: design and operate microservices, data/feature pipelines, and low-latency inference paths with solid observability
• Operate with excellence: add tests, monitors, tracing, dashboards; participate in on-call with an automation-first mindset

Benefits

• Various health plans
• Time off plans for vacation and sick time
• Parental leave options
• Retirement options
• Education reimbursement
• In-office perks, and more!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees