8 дней назад
Senior Software Engineer, AI Platform Integration
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer, AI Platform Integration (AI/Cybersecurity): Building full-stack applications, APIs, shared services, and secure integrations that bring AI capabilities into Keeper’s cybersecurity products with an accent on LLM-powered workflows, platform integration, and zero-knowledge architecture. Focus on solving cross-product dependencies, designing reliable and observable production systems, and integrating AI features across frontend, backend, and distributed services.
Location: 100% remote within the US, with a hybrid option for candidates in the El Dorado Hills, CA or Chicago, IL metro areas.
Company
develops cybersecurity software and a cloud-native privileged access management platform used by organizations and individuals worldwide.
What you will do
- Design and build full-stack capabilities supporting AI initiatives across Keeper’s product portfolio.
- Develop backend services, APIs, integration layers, shared services, and frontend experiences for AI-powered functionality.
- Integrate LLM-powered services, agents, tool-calling workflows, and related AI capabilities into secure production environments.
- Partner with AI, Product, and Engineering teams to translate platform and model requirements into production software.
- Troubleshoot cross-product issues involving APIs, authentication, authorization, services, interfaces, and data flows.
- Improve performance, latency, reliability, observability, testing, CI/CD readiness, and technical documentation.
Requirements
- 7+ years of professional software engineering experience and strong full-stack development skills.
- Production backend, API, distributed application, integration, architecture, and secure software development experience.
- Frontend experience with 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; Rust is strongly preferred.
- Experience with multiple codebases, Git workflows, automated testing, CI/CD, debugging, and cross-functional collaboration.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Nice to have
- Experience integrating LLM-powered or AI-driven capabilities into production software.
- Familiarity with AI APIs, agentic workflows, tool calling, prompt engineering, context management, or MCP.
- Experience with Python-based AI services, shared platform services, SaaS platforms, microservices, event-driven architecture, or distributed systems.
- Experience in cybersecurity, identity, privileged access management, cloud infrastructure, or AWS.
Culture & Benefits
- Fully remote US work arrangement with a hybrid option in selected metro areas.
- Medical, dental, and vision insurance, including domestic partnerships.
- Employer-paid life insurance and voluntary short- and long-term disability insurance.
- 401(k) Roth and Traditional plans and a generous paid time off program.
- Above-market annual bonuses and an inclusive equal opportunity workplace.
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