Staff Software Development Engineer
Full-time
Zscaler
Responsibilities
- Build and scale the agentic layer of the AI-native Product Operations Platform.
- Design production-grade AI systems, reusable platform capabilities, and reliable execution patterns.
- Develop agentic AI capabilities using RAG architectures, embeddings, vector retrieval, orchestration, and workflow state management.
- Create harnesses for prompt testing, agent debugging, workflow replay, evaluation, regression testing, tracing, and controlled experimentation.
- Build and maintain graph-based workflows with multi-step reasoning, tool calling, branching, human-in-the-loop checkpoints, and stateful execution.
- Establish standards, patterns, and guardrails for scalable, reliable, observable AI development.
Requirements
- 5+ years of industry experience, including 2–3 years focused on AI development harnesses such as test harnesses, evaluation pipelines, workflow replay tools, tracing, observability, and prompt or agent regression testing.
- Experience building and deploying production agentic AI systems, RAG architectures, embeddings, and vector retrieval systems.
- Familiarity with prompt engineering, orchestration patterns, agent workflows, graph-based execution models, evaluation frameworks, and guardrails.
- Practical understanding of agentic loops involving planning, retrieval, tool execution, validation, retries, reflection, and termination criteria.
- Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
- Hands-on software engineering experience with FastAPI, NextJS, and Postgres is preferred.
- Experience designing AI systems for low cost, high throughput, extensibility, observability, and long-term scalability is preferred.
Benefits
- Hybrid work arrangement.
- Various health plans.
- Vacation and sick time off plans.
- Parental leave options.
- Retirement options.
- Education reimbursement.
- In-office perks.
- Inclusive benefits supporting employees and their families.
Vacancy posted 4 hours ago
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