Senior Software Engineer, AI Platform Integration

About the role

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 Keeper Candidate Privacy Notice This notice explains how Keeper Security processes your personal data during recruitment. Depending on the role and location, the Controller of personal data (the organization responsible for determining why and how personal data is processed) will be Keeper Security Inc. (US), Keeper Security EMEA Ltd. (Ireland), or Keeper Security APAC K.K (Japan). 1. Data We Collect Information You provide: Contact details, CV/resume, cover letter Employment history, qualifications, work eligibility Application responses and uploaded documents Information We generate: Interview notes, assessments, communications Scheduling information Information From Others: Recruiter/referral information who submit your profile References (with your consent, before final offer) Public professional profiles Background verification (post offer) Voluntary Diversity and Equal Opportunity Information We may ask you to voluntarily provide diversity information including race/ethnicity, gender, disability status and veteran status (US). Providing this information is optional and Keeper collects this data in order to comply with EEOC and similar requirements 2. How We Use Your Data Assess your application and suitability Manage interviews and recruitment workflow Consider you for other/future roles (we may seek your consent to keep your information on our systems beyond the retention period specified) Comply with employment law obligations 3. Legal Basis Legitimate Interests (recruitment management, security and integrity of the hiring process) Contracting steps (for progressed candidates) Legal and regulatory compliance obligations; explicit consent where required 4. Who We Share Information With Internal: HR, hiring managers, interviewers*, IT support for system administration *Note - diversity and equal opportunity data is not shared with hiring managers. Third Parties: Service providers who assist with: Applicant tracking, recruitment systems and assessment providers Background verification vendors (post offer) Recruitment agencies (where applicable) Tools to support communication, collaboration and to securely store your data Keeper ensures that all our third parties are contractually bound to protect your personal data with adequate safe