We are looking for a hands-on AI Engineer to help build our core intelligence engine and infrastructure. In this role, you will work on exploring and building autonomous solutions that execute security workflows end-to-end, moving capabilities from research concepts to scalable production features.
What You Will Build
● Internal AI Infrastructure: Contribute to a shared internal AI platform for models, data, training, and observability.
● Autonomous Capabilities: Build solutions that automate complex security operations and investigative workflows.
● Active Defense Mechanisms: Help productize runtime guardrails into customer-facing protective controls and monitoring systems.
Responsibilities
● Develop and implement the engineering backend for AI-driven security features.
● Build and maintain the internal mechanisms that allow for safe and scalable AI feature deployment.
● Collaborate with AI Researchers to translate findings into production-grade autonomous workflows.
● Implement runtime guardrails and AI-focused data security capabilities.
Requirements● Mid-senior level experience or Military experience in relevant technical fields.
● Strong engineering background with a focus on ML/AI technologies.
● Experience with LLMs, agentic frameworks, or internal ML platforms is highlyvalued.
● Ability to work in a fast-paced environment, bridging the gap between researchand product engineering.
Skills Required
- Mid-senior level experience or Military experience
- Strong engineering background with a focus on ML/AI technologies
- Experience with LLMs, agentic frameworks, or internal ML platforms
What We Do
Upwind Cloud Security Platform bridges intelligence from runtime to build-time, eliminating friction & boosting the productivity of your developers, security engineers, and DevOps. Upwind delivers comprehensive cloud security, precisely when and where it’s most critical.
