Senior Software Engineer, AI Platform Integration

Keeper Security, Inc.

. Design and build full-stack capabilities that support AI initiatives across Keeper’s product portfolio .

Posted 10/8/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in full-stack development, integrating AI capabilities into production software, and maintaining strong security and privacy principles. Proficient in building backend services, APIs, and frontend experiences while collaborating effectively across engineering teams.

Highest-signal resume keywords

Full-Stack DevelopmentBackend Services DevelopmentAPI IntegrationJavaScript or TypeScript with ReactRust Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Full-Stack DevelopmentBackend ServicesAPIsJavaScriptTypeScriptReactRustJavaKotlinPython

Soft Skills

Problem-SolvingCollaborationCommunication

Tools & Technologies

CI/CDGitAI-Assisted Development ToolsClaudeChatGPTGitHub Copilot

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceEngineering or Related Field

Industry Keywords

SaaSCybersecurityEnterprise EnvironmentsSoftware ArchitectureSecure Software Development

Tech Stack

Tools & technologies

Cyber SecurityJavaJavaScriptKotlinPythonReactRustTypeScriptGo

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

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