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Sr Staff Software Engineer (AI Software Integration - Prisma AIRS)

156 400 - 253 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Sr Staff Software Engineer (AI Software Integration - Prisma AIRS) (Python/AI Security): Building a multi-tenant GenAI security platform with an accent on asynchronous backend services, middleware APIs, data ingestion, and integrations with LLM and agentic workflows. Focus on engineering automated LLM red-teaming pipelines, enforcing security policies across AI gateways, and designing secure cloud and hybrid architecture blueprints.

Location: Santa Clara, California, United States of America; most teams work from the office full time. The role may require travel.

Annual base salary: $156,400–$253,000.

Company

Palo Alto Networks develops cybersecurity solutions designed to protect digital environments and secure enterprise AI workloads.

What you will do

  • Design, build, and maintain high-performance asynchronous REST/gRPC microservices, background workers, and database schemas in Python.
  • Develop APIs, webhook receivers, and ingestion hooks for LLM prompts, context payloads, and agent execution logs.
  • Connect model providers and agentic frameworks such as LangChain, LlamaIndex, and MCP through AI gateways with policy enforcement and fallback routing.
  • Create architecture diagrams and integration blueprints for Prisma AIRS across cloud and hybrid environments.
  • Build automated LLM red-teaming pipelines for jailbreak and prompt-injection testing, and expose telemetry APIs for dashboards and SIEM tools.
  • Review partner architectures and provide integration documentation or SDKs.

Requirements

  • 8+ years of software engineering or systems integration experience focused on backend development and cloud security.
  • Production-level Python experience with asynchronous services, FastAPI, Flask, gRPC, and microservice architectures.
  • Experience developing and integrating enterprise REST, gRPC, and WebSocket APIs, API gateways, middleware, webhooks, retry logic, and high-volume synchronization.
  • Experience integrating LLM APIs, vector storage, and agentic frameworks or protocols through backend middleware.
  • Ability to create technical architecture blueprints and secure AI workloads against prompt injection and model vulnerabilities.
  • Experience with testing frameworks such as PyTest or unittest, plus a BS/MS in computer science, computer engineering, or a related field or equivalent experience.

Nice to have

  • Experience with distributed task queues such as Celery, Redis, or RabbitMQ and event-driven backend architectures.
  • Hands-on AI red-teaming, prompt defense, or MCP server security experience.
  • Working knowledge of ServiceNow, Databricks, or Glean.

Culture & Benefits

  • In-person collaboration is emphasized, with flexibility when needed.
  • Employee benefits are available, with additional compensation potentially including restricted stock units and a bonus.
  • Reasonable accommodations are available for qualified individuals with disabilities or special needs.
  • Immigration sponsorship is available for this role.

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