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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Backend AI Software Integration Engineer - **Company:** Palo Alto Networks - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $134,600.0 - $217,800.0 - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing Security, Computer Engineering, Data Transformation, Software Debugging, Distributed Systems, Middleware, Python (Programming Language), Software Architecture, RabbitMQ, Redis, Lucidchart, Security Information and Event Management, Software Engineering, Systems Integration, WebSocket, Data Ingestion, Flask (Web Framework), Large Language Models, Llamaindex, Backend, Agentic-AI, Fastapi, Pytest, Information Technology, Palo Alto Networks, Machine Learning Operations, Celery, Front End Software Development, Api Design, Api Gateway, Software Coding, Restful APIs, Model Context Protocol, Grpc, Webhooks, Servicenow, Databricks, Web Api, Microservices - **Published:** October 2, 2026 - **Apply:** https://www.themuse.com/jobs/paloaltonetworks/sr-staff-software-engineer-ai-sw-integration-prisma-airs ## About the Role * Experience: 4+ years in Software Engineering or Systems Integration with a primary emphasis on backend development and cloud security. * Backend Python Depth: Production-level mastery of Python for asynchronous backend services, API frameworks (FastAPI, Flask, or gRPC), and microservice architectures. * Core Software & API Development: Experience developing, debugging, and integrating enterprise APIs (REST, gRPC, WebSockets) and API gateways (e.g., Envoy, Kong). * Data Transformation: Experience writing code to map, translate, and standardize mismatched data formats between systems. * System Orchestration: Experience building robust middleware, webhooks, and retry logic to handle high-volume sync traffic and system failures. * AI Stack Integration: Practical experience integrating LLM APIs, vector storage, and agentic protocols/frameworks (LangChain, LlamaIndex, MCP) via backend middleware. * Architecture & Security: Proven ability to create technical architecture blueprints (e.g., Lucidchart) and secure AI workloads against prompt injection and model vulnerabilities. Rapid mastery of Prisma AIRS. * Testing & Quality Assurance: Experience using testing frameworks (e.g., PyTest, unittest) and robust evaluation workflows for distributed systems. * Communication: Excellent customer focus, collaboration and communication skills * Education: BS/MS Computer Science, Computer Engineering, or related technical field or equivalent or equivalent military experience, * Asynchronous Systems: Strong background in distributed task queues (e.g., Celery, Redis, RabbitMQ) and event-driven backend architectures. * AI Security Expertise: Hands-on experience with automated AI red teaming, prompt defense tools, and securing Model Context Protocol (MCP) server interactions. * Ecosystem Familiarity: Working knowledge of major enterprise platforms (e.g., ServiceNow, Databricks, Glean) ## Description Join our team as a Backend AI Software Integration Engineer building a multi-tenant GenAI Security Platform that enables enterprises to benchmark, red-team, and secure LLMs and agentic workflows. In this core engineering role, you will focus predominantly on backend software development in Python-building middleware APIs, data ingestion endpoints, and integration hooks to embed Palo Alto Networks Prisma AIRS across enterprise AI pipelines and partner architectures., * 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 (LangChain, LlamaIndex, MCP) with inline security controls, policy enforcement, and fallback routing. * Solution Architecture & Blueprints: Author technical architecture diagrams and integration blueprints documenting insertion points for the Prisma AIRS portfolio (Model, Red Teaming, Runtime, and Agent Security) within cloud and hybrid environments. * Automated Red-Teaming & API Exposure: Engineer programmatic execution pipelines for automated LLM probing (jailbreaks, prompt injections) and expose structured API endpoints to serve telemetry data to frontend 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 ## Related Videos - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) - [pytest: Simple, rapid and fun testing with Python](https://www.wearedevelopers.com/videos/213-pytest-simple-rapid-and-fun-testing-with-python) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Exploring the Power of gRPC-Gateway for Writing RESTful Services](https://www.wearedevelopers.com/videos/2072-exploring-the-power-of-grpc-gateway-for-writing-restful-services) - [Agents for the Sake of Happiness](https://www.wearedevelopers.com/videos/1387-agents-for-the-sake-of-happiness) - [Accelerating Authentication Architecture: Taking Passwordless to the Next Level](https://www.wearedevelopers.com/videos/733-accelerating-authentication-architecture-taking-passwordless-to-the-next-level) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)