обновлено 8 дней назад
Staff Software Engineer (AI SW Integration - Prisma AIRS)
134 600 - 217 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer (AI SW Integration - Prisma AIRS) (Python/AI Security): Building backend middleware, APIs, ingestion endpoints, and integration hooks for a multi-tenant GenAI security platform with an accent on LLM security, agentic workflows, and asynchronous microservices. Focus on connecting model providers and agent frameworks, automating red-teaming pipelines, enforcing security policies, and exposing telemetry for dashboards and SIEM tools.
Location: Santa Clara, California, United States; most teams work from the office full time. Travel may be required.
Annual base salary: $134,600–$217,800, with potential bonus and restricted stock units.
Company
Cybersecurity organization developing technologies to protect enterprise digital environments and AI workloads.
What you will do
- Build high-performance asynchronous REST and 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.
- Integrate model providers and agent frameworks such as LangChain, LlamaIndex, and MCP with AI gateways, security controls, policy enforcement, and fallback routing.
- Create architecture diagrams and integration blueprints for Prisma AIRS across cloud and hybrid environments.
- Engineer automated LLM probing and red-teaming pipelines, exposing telemetry APIs for dashboards and SIEM tools.
- Review partner architectures and provide integration documentation or SDKs.
Requirements
- 4+ years of software engineering or systems integration experience focused on backend development and cloud security.
- Production-level Python expertise for asynchronous services, API frameworks, and microservice architectures.
- Experience with REST, gRPC, WebSockets, 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 PyTest or unittest, distributed-system evaluation, enterprise API integration, and strong customer communication.
Nice to have
- Experience with Celery, Redis, RabbitMQ, distributed task queues, and event-driven architectures.
- Hands-on AI red-teaming, prompt defense, and MCP server security experience.
- Knowledge of ServiceNow, Databricks, or Glean.
Culture & Benefits
- Office-first collaboration model with flexibility when needed.
- Employee benefits, potential bonus, and restricted stock units may be included in the offer.
- Commitment to diversity, inclusion, and reasonable workplace accommodations.
- Immigration sponsorship is not available for this role.
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