# Staff Software Development Engineer - AI Engineer

**Company**: Zscaler
**Location**: Mohali, IND
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/zscaler/jobs/5173177007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_193adea7-21e

## Description

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

We are looking for an AI Engineer to join our team. This is a Hybrid role, reporting to the Engineering Manager in the Product Operations department. You will design and build production-grade AI systems, reusable platform capabilities, and the engineering harnesses required to safely develop, evaluate, debug, and operate AI workflows at scale.

**Role Expectations**

- Build and scale the agentic layer of the AI Native - Product Operations Platform by designing production-grade AI systems, reusable platform capabilities, and reliable execution patterns.

- Develop Agentic AI capabilities by applying practical knowledge of RAG architectures, embeddings, vector retrieval, agent orchestration, and workflow state management.

- Design and implement AI engineering harnesses for prompt testing, agent debugging, workflow replay, evaluation, regression testing, tracing, and controlled experimentation.

- Build and maintain graph-based agent workflows, including multi-step reasoning flows, tool-calling paths, branching logic, human-in-the-loop checkpoints, and stateful execution patterns.

- Implement standards, patterns, and guardrails to ensure AI development on the platform remains scalable, reliable, observable, and cohesive.

**Who You Are (Success Profile)**

- You are a pragmatic builder with a passion for rolling up your sleeves to create, iterate, and ship production-grade software.

- You thrive in ambiguity and fast-paced environments, maintaining focus and execution velocity amidst rapid change.

- You act like an owner, bringing deep accountability, a strong bias for action, and end-to-end execution to every project.

- You are a high-trust collaborator who excels at partnering with cross-functional teams to translate business needs into technical solutions.

- You champion simplicity, with a proven ability to distill complex technical problems and AI architectures into clean, actionable plans.

**What We're Looking for (Minimum Qualifications)**

- 5+ years of industry experience with at least 2-3 years focused on building or working with AI development harnesses.

- Proven experience building and deploying agentic AI systems, RAG architectures, embeddings, and vector retrieval systems in production environments.

- Familiarity with prompt engineering, orchestration patterns, agent workflows, graph-based execution models, and evaluation frameworks or guardrails.

**What Will Make You Stand Out (Preferred Qualifications)**

- 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.

- Experience operating in a high-velocity delivery environment with a track record of supporting frequent or weekly feature releases.

**Benefits**

- Various health plans

- Time off plans for vacation and sick time

- Parental leave options

- Retirement options

- Education reimbursement

- In-office perks, and more!

## Skills

### Required
- AI development harnesses
- RAG architectures
- embeddings
- vector retrieval systems
- prompt engineering
- orchestration patterns
- agent workflows
- graph-based execution models

### Nice to have
- FastAPI
- NextJS
- Postgres

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/zscaler/jobs/5173177007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)