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2 месяца назад

Software Engineer - AI Security Product (AI)

155 000 - 180 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer - AI Security Product (AI): Building highly available AI agent security products and data pipelines that identify and mitigate risks across enterprise AI and SaaS platforms with an accent on threat modeling, LLM integrations, and identity security. Focus on researching prompt injection and agent misuse, modeling OAuth and permission risks, and operating production backend systems with efficient data infrastructure.

Location: Palo Alto, California, USA

Base salary: $155,000–$180,000 USD per year, plus equity awards and potential incentive compensation.

Company

hirify.global provides a SaaS security platform that detects and mitigates risks across enterprise applications, integrations, identities, and AI-powered tools.

What you will do

  • Develop expertise in authentication, scopes, data flows, and risk patterns across ChatGPT Enterprise, Copilot, Gemini, Claude, Glean, and agentic frameworks.
  • Research emerging AI attack techniques, including prompt injection, tool and agent misuse, RAG poisoning, and over-permissioned integrations.
  • Define threat models and data models for AI and agentic platform security.
  • Prototype and ship highly available AI agent security products.
  • Build and improve efficient, cost-effective data pipelines.

Requirements

  • 1–3 years of experience shipping and owning production backend systems.
  • Proficiency in Python, Go, or a similar modern programming language.
  • Experience with AWS or GCP, containers, CI/CD, observability, and production ownership.
  • Hands-on experience with LLM APIs and agentic patterns such as tool or function calling, MCP, and agent frameworks, or the ability to ramp up quickly.
  • Experience with dbt and a modern data stack using a columnar warehouse or query engine such as ClickHouse, Snowflake, BigQuery, or Databricks.
  • Ability to communicate clearly with engineers, product managers, and customer security teams while operating in an ambiguous, fast-moving environment.

Nice to have

  • Knowledge of Google Workspace, Microsoft 365, Salesforce, or Okta APIs, event schemas, permissions, and authentication flows.
  • Knowledge of AI and SaaS security, including OWASP LLM Top 10, MITRE ATLAS, prompt injection, agent and tool-use risks, OAuth abuse, and identity models.
  • Experience building a cybersecurity product.
  • Knowledge of OAuth flows, scopes, tokens, identity, and access control concepts.

Culture & Benefits

  • Competitive compensation with equity and 401(k).
  • Comprehensive medical, dental, and vision coverage for US-based employees.
  • Flexible paid time off and paid holidays.
  • 12 weeks of new parent or family leave.
  • Personal and professional development resources.

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