Team Introduction We are building the dedicated AI Agent infrastructure and product platform for the Security organization, enabling different business teams to rapidly build, deploy, and scale AI Agents for real-world security use cases.
Our mission is to turn the latest advances in LLMs, AI Agents, and applied AI systems into production-ready capabilities that power security workflows end to end — from intelligent assistance and automated analysis to workflow execution and decision support. We focus on building a platform that is not only powerful, but also secure, controllable, auditable, and scalable.
You will work at the intersection of AI application engineering, agent infrastructure, and security productization, partnering closely with security experts and product teams to bring high-impact AI capabilities into complex business scenarios.
Responsibilities
- Build the foundational AI Agent infrastructure for the Security organization, including agent runtime/frameworks, tool and plugin ecosystems, workflow orchestration, memory and knowledge/RAG systems, evaluation pipelines, observability, and cost governance.
- Design and develop the platform capabilities that enable multiple business teams to build and operate AI Agents efficiently, with strong guarantees around access control, auditing, isolation, governance, and reliability.
- Drive the implementation and iteration of AI Agent products and solutions for security scenarios, such as security operations assistance, investigation and triage, risk analysis, policy understanding and generation, automated Q&A, and intelligent workflow automation.
- Build robust backend services and APIs that support the full lifecycle of AI Agent applications, including integration with internal tools, data systems, and business workflows.
- Improve the quality and production readiness of AI applications through systematic work on evaluation, online experimentation, canary release, monitoring, fallback mechanisms, and performance optimization.
- Stay current with frontier AI technologies and apply them pragmatically in high-value security scenarios, working closely with domain experts to turn emerging capabilities into measurable business impact.
Requirements
Minimum Qualifications
- Bachelor’s degree or above in Computer Science or a related field.
- Proficiency in at least one programming language such as Go, Java, Python, C, C++, C#, or JavaScript, with strong backend engineering skills.
- Strong computer science fundamentals, including data structures, algorithms, operating systems, networking, and databases.
- Solid system design and engineering experience, with hands-on understanding of distributed systems, service architecture, caching, messaging, and high-availability backend services.
- Strong problem-solving and execution skills, with the ability to collaborate effectively across engineering, product, and domain teams.
Preferred Qualifications
- Experience in AI Agent systems, LLM applications, RAG, tool use, workflow orchestration, or AI application infrastructure.
- Experience productionizing AI/ML applications, including areas such as evaluation, prompt/system optimization, online quality improvement, and reliability engineering.
- Interest in applying advanced AI technologies to high-impact security and enterprise scenarios.