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 safeguards in place.

5. International Transfers

Your data may be accessed by Keeper entities globally as needed for the purposes of hiring and decision making. We protect any such data transfer between Keeper entities using appropriate safeguards under applicable data protection laws.

6. Security

We implement appropriate technical and organizational measures to protect your data, consistent with our industry leading security standards.

7. Retention

We keep your data for 24 months from your last application activity, then delete or anonymize it.

Exceptions:

You opt into our talent database for further retention by providing consent (extended retention)

You're hired (transfers to employee records)

8. Your Rights

You have the following rights and can contact us at the email below to exercise them:

Access, correct, or delete your data, subject to applicable law and retention requirements

Object to or restrict processing

Withdraw consent (where applicable)

Request data portability

Lodge a complaint with your data protection authority

If you become an employee, your rights regarding your employee record are governed by our internal Employee Privacy Notice and certain data will be retained as required under relevant laws such as employment or tax law.

When you request access to your personal data, some information may be redacted if it includes the personal data of other individuals or information that we must protect in order to preserve their privacy rights.

9. Automated Decisions

Keeper does not make hiring decisions using solely automated processing.

10. Contact - Candidates can send privacy questions to: [email protected]

Posting text as published by Keeper Security.

The evidence behind this listing

Workplace

Remote Employer field

Seniority

senior From the job title

Employment type

Not established

Location as listed

Remote, US

Pay and work authorization

Stated pay

Not stated

Visa sponsorship

Not stated

Security clearance

Not established

Citizenship

Not established