Ai Security Engineer Jobs

About The Position

Requirements

• At least 3 years of industry software engineering experience.
• Experience designing and building high-impact, high-performance, scalable, observable, and maintainable backend services and APIs.
• Experience building and shipping AI-powered products or agents at scale, including LLM integrations and tool-calling.
• Hands-on experience building a Model Context Protocol (MCP) server or integration used in a production environment.
• Experience building retrieval-augmented generation (RAG) and its supporting data pipelines.
• Experience building backend services and enterprise web applications for large user bases, such as millions of users.
• Knowledge of at least one of Golang, Node.js, Python, Ruby, or Rust.
• Experience with React, TypeScript, JavaScript, and other front-end technologies and frameworks.
• Ability to work with relational databases such as Postgres, SQL, or MySQL.
• Experience with HTTP API design and development.
• Experience with modern software engineering and automation tools such as Git and Jenkins.
• Sound judgment in balancing rapid development with long-term code maintainability and supportability.
• Commitment to writing automated tests as part of development.
• Strong debugging ability, including resolving issues in production environments.
• Knowledge of modern server-side and browser-side software frameworks, with versatility to learn new tools.
• Ability to use AI coding tools effectively and to understand, refactor, and debug their generated code.
• Bachelor's degree in Computer Science or a related field, or equivalent experience.

Nice To Haves

• A foundation in security principles, including secure design, authentication and authorization, and threat modeling.
• Golang experience is preferred among the listed programming languages.
• A bachelor's degree in Computer Science or a related field is preferred.

Responsibilities

• Contribute to the design and development of high-scale, distributed backend systems that provide visibility into and control over agentic AI environments.
• Build services and integrations using LLM APIs, tool-calling frameworks, and the Model Context Protocol (MCP).
• Design retrieval-augmented generation (RAG) and data pipelines that support AI-driven capabilities.
• Use AI coding assistants and agent tooling in day-to-day development, and review, refactor, and debug AI-generated code.
• Build and maintain Tanium products as part of an agile development team.
• Design, develop, and test new product ideas from the ground up, incorporating feedback and input from product management.
• Work on shared components, including services that unify endpoint data, handle time-series data for dashboarding and reporting, and expose data through GraphQL for external partner integrations.
• Deliver higher-level services enabled by core services to support Tanium products, including capabilities for security, operations, and auditing.
• Write automated tests and balance rapid development with long-term code maintainability and supportability.
• Debug production issues and help resolve problems under pressure.

Benefits

• Equity awards.
• Medical, dental, and vision plans.
• Family planning benefits.
• Health savings account.
• Flexible spending account.
• Transportation savings account.
• 401(k) retirement savings plan with company match.
• Life, accident, and disability coverage.
• Business travel accident insurance.
• Employee assistance programs.
• Other well-being benefits.
• Five days of volunteer time off (VTO).