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 Copilot or similar platforms extensively to improve coding, debugging, research, testing and documentation
Requirements
7+ years of professional software engineering experience
Strong full-stack development experience across backend and frontend systems
Strong experience building production backend services, APIs and distributed application functionality
Experience with modern frontend development using JavaScript or TypeScript and frameworks such as React
Strong experience with at least one backend language such as Rust, Java, Kotlin, C#, Go or Python, with Rust experience strongly preferred
Proven ability to work effectively across multiple codebases, technologies and product architectures
Experience integrating complex systems through APIs, services, messaging or similar application integration patterns
Strong understanding of software architecture, authentication, authorization, data flows and secure application design
Experience building and shipping production software in SaaS, cybersecurity or enterprise environments
Strong debugging and problem-solving skills across frontend, backend and integration layers
Experience with Git-based development workflows, automated testing and CI/CD pipelines
Ability to quickly understand unfamiliar systems and contribute meaningful production code across different product areas
Strong understanding of secure software development practices
Strong written and verbal communication skills and ability to collaborate effectively across AI, Product and Engineering teams
Demonstrated ability and willingness to use modern AI-assisted development tools effectively for coding, debugging, research, testing and documentation
Bachelor’s degree in Computer Science, Engineering or a related technical field, or equivalent practical experience
Preferred Qualifications
Experience integrating LLM-powered or AI-driven capabilities into production software
Familiarity with AI APIs, agentic workflows, tool calling, prompt engineering or context management
Familiarity with Model Context Protocol (MCP) or similar AI integration patterns
Experience with Python-based AI services or automation
Experience working across large multi-product SaaS platforms
Experience building platform or shared services used by multiple product teams
Familiarity with latency, cost, observability and reliability considerations in production AI systems
Experience with cybersecurity, identity, privileged access management or other security-sensitive software
Familiarity with cloud infrastructure and services such as AWS
Experience with microservices, event-driven architecture or distributed systems
Familiarity with Windows and Linux operating environments
Benefits
Medical, Dental & Vision (Inclusive of domestic partnerships)
Employer Paid Life Insurance & Employee/Spouse/Child Supplemental life
Voluntary Short/Long Term Disability Insurance
401k (Roth/Traditional)
A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc)
Above market annual bonuses
Keeper Security, Inc. is an equal opportunity employer and participant in the U.S. Federal
E-Verify program. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Classification: Exempt