Senior Software Engineer, AI Platform Integration

Description

Keeper Security is hiring a Senior Software Engineer, AI Platform Integration to help accelerate AI initiatives across Keeper’s product portfolio.This is a 100% remote position, with an opportunity to work a hybrid schedule for candidates based in the El Dorado Hills, CA or Chicago, IL metro areas.

Keeper’s cybersecurity software is trusted by millions of people and thousands of organizations globally. Keeper is published in 23 languages and sold in over 150 countries. Join one of the fastest-growing cybersecurity companies and help bring secure, production-ready AI capabilities to life across Keeper’s platform.

About Keeper

Keeper Security is one of the fastest-growing cybersecurity software companies that protects thousands of organizations and millions of people in over 150 countries. Keeper is a pioneer of zero-knowledge and zero-trust security built for any IT environment. Its core offering, KeeperPAM®, is an AI-enabled, cloud-native platform that protects all users, devices and infrastructure from cyber attacks. Recognized for its innovation in the Gartner Magic Quadrant for Privileged Access Management (PAM), Keeper secures passwords and passkeys, infrastructure secrets, remote connections and endpoints with role-based enforcement policies, least privilege and just-in-time access. Learn why Keeper is trusted by leading organizations to defend against modern adversaries at KeeperSecurity.com.

About the Role

As a Senior Software Engineer, AI Platform Integration, you will work across Keeper’s product portfolio to build the application, platform and integration capabilities required by our AI initiatives. You will partner closely with the AI team and product engineering teams to remove technical dependencies, extend existing services and deliver production-ready AI functionality across products such as Vault, Admin Console, PAM Gateway and other Keeper platforms.

This is a hands-on full-stack engineering role, not a research or model-training position. You will contribute directly to existing frontend and backend codebases, build APIs and shared services, integrate AI-driven capabilities into production workflows and help ensure those integrations remain secure, reliable and consistent with Keeper’s zero-knowledge architecture.The ideal candidate is a strong senior software engineer who can quickly understand unfamiliar systems, move across multiple technologies and product areas and use modern AI development tools effectively to accelerate implementation, debugging and delivery.

Responsibilities

• Design and build full-stack capabilities that support AI initiatives across Keeper’s product portfolio
• Work across multiple product codebases to identify and resolve technical dependencies affecting AI development
• Develop backend services, APIs and integration layers that connect AI capabilities with existing Keeper applications
• Build or modify frontend experiences that expose AI-powered functionality to end users
• Partner closely with AI engineers to translate model, agent and platform requirements into production software
• Extend shared services and platform capabilities to support reusable AI integrations across multiple products
• Integrate LLM-powered services, agents, tool-calling workflows or related AI capabilities into secure production environments
• Design integrations with attention to execution safety, reliability, observability and predictable system behavior
• Troubleshoot complex issues involving APIs, authentication, authorization, backend services, user interfaces and cross-product data flows
• Contribute directly to existing codebases while following established engineering standards and architecture patterns
• Evaluate technical trade-offs and identify pragmatic solutions that reduce cross-team dependencies and accelerate delivery
• Maintain strong security, privacy and zero-knowledge principles when implementing AI-enabled functionality
• Participate in architecture reviews, technical design discussions and code reviews across multiple engineering teams
• Build automated tests and integrate new functionality into CI/CD workflows to ensure reliability and release readiness
• Monitor and improve the performance, latency, reliability and operational behavior of AI-integrated features
• Maintain clear technical documentation for integrations, shared services and implementation decisions
• Use AI-assisted development tools such as Claude, ChatGPT, GitHub C…