Senior Backend AI Security Engineer

Socket.dev; California (MO); On-site; USD 126,000 - 205,000; Full time

Job summary

Palo Alto Networks is seeking a Backend AI Software Integration Engineer to build a multi-tenant GenAI Security Platform. You will focus on Python-based backend development, creating middleware APIs, data ingestion endpoints, and integration hooks to embed Prisma AIRS across enterprise AI pipelines and partner architectures.

The role emphasizes engineering robust microservices, AI gateway integrations, and secure, auditable workflows. Travel may be required as part of the position.

Qualifications

• 5+ years in Software Engineering or Systems Integration with a primary emphasis on backend development and cloud security.
• Production-level mastery of Python for asynchronous backend services, API frameworks (FastAPI, Flask, or gRPC), and microservice architectures.
• Experience developing, debugging, and integrating enterprise APIs (REST, gRPC, WebSockets) and API gateways (Envoy, Kong).
• Experience writing code to map, translate, and standardize mismatched data formats between systems.
• Experience building robust middleware, webhooks, and retry logic to handle high-volume sync traffic and system failures.
• Practical experience integrating LLM APIs, vector storage, and agentic protocols/frameworks (LangChain, LlamaIndex, MCP) via backend middleware.
• Proven ability to create technical architecture blueprints and secure AI workloads against prompt injection and model vulnerabilities. Rapid mastery of Prisma AIRS.
• Experience using testing frameworks (e.g., PyTest, unittest) and robust evaluation workflows for distributed systems.
• Excellent customer focus, collaboration and communication skills.
• BS/MS Computer Science, Computer Engineering, or related technical field or equivalent or equivalent military experience

Responsibilities

• Backend Software & API Engineering: Design, build, and maintain high-performance, asynchronous REST/gRPC microservices, background job workers, and database schemas in Python.
• AI Ingestion & Integration Hooks: Develop clean API endpoints, webhook receivers, and data ingestion hooks to collect, route, and inspect LLM prompts, context payloads, and agent execution logs.
• AI Gateways & Agent Workflows: Build middleware logic and AI Gateway integrations connecting model providers and agentic frameworks with inline security controls, policy enforcement, and fallback routing.
• Solution Architecture & Blueprints: Author technical architecture diagrams and integration blueprints documenting insertion points for Prisma AIRS within cloud and hybrid environments.
• Automated Red-Teaming & API Exposure: Engineer programmatic execution pipelines for automated LLM probing and expose structured API endpoints to telemetry dashboards and SIEM tools.
• Technical Onboarding: Review partner software architecture and provide documentation or SDKs to speed up integration timeline.
• Travel: This role may require travel

Skills

Python backend

Async microservices

API development

Data transformation

Education

BS/MS Computer Science

Tools

FastAPI

Flask

gRPC

Envoy

Kong

Celery

Redis

RabbitMQ

LangChain

LlamaIndex

MCP

Prisma AIRS

Job description

Palo Alto Networks is seeking a Backend AI Software Integration Engineer to build a multi-tenant GenAI Security Platform. You will focus on Python-based backend development, creating middleware APIs, data ingestion endpoints, and integration hooks to embed Prisma AIRS across enterprise AI pipelines and partner architectures.

The role emphasizes engineering robust microservices, AI gateway integrations, and secure, auditable workflows. Travel may be required as part of the position.