AI Engineer
Upwind is a next-generation Cloud Security platform that uses runtime context to identify and prioritise the most critical risks, giving teams clear insights and a smarter way to manage cloud security.
Unlike many traditional tools, Upwind takes a proactive approach, using real-time runtime data to prioritise risk and deliver meaningful posture insights, helping teams focus on what genuinely matters most.
With industry-leading efficiency and eBPF-powered sensors, Upwind provides a comprehensive range of capabilities, including agentless cloud posture discovery, real-time threat protection, and integrated API security. From identifying misconfigurations to defending against malware, Upwind delivers end-to-end, cost-effective protection for cloud infrastructure.
At Upwind, you’ll have the opportunity to think creatively, explore new ideas, and apply your expertise in ways that genuinely make an impact. As we continue to grow, every team member plays a meaningful role in shaping our journey and contributing to the next stage of our success.
About The Position
We are looking for a visionary AI engineer to help build our internal AI platform and architect adaptive intelligence systems that serve to improve clarity to the security posture of customers' environments. You will work with AI Researchers and Software Engineers to move beyond simple integrations and build truly autonomous security solutions.
What You Will Build
- Autonomous Workflows: Build agents that execute security workflows end-to-end, automating detection, investigation, and response processes.
- Runtime Defense: Productise research into active runtime guardrails and defensive control mechanisms.
- Internal AI Platform: Build the shared infrastructure for models, training, and evaluations to enable safe, scalable AI features across the organisation.
- Adaptive Intelligence: Oversee the development of models that learn from customer-specific environments to generate high-signal, personalized insights.
- SAST scanning capabilities which leverage AI to build informed guidance to customers as to the security strengths and weaknesses of their application and infrastructure code.
- Multi-source correlation systems, combining data from various sources to help quantify risk exposure.
Responsibilities
- Work with the AI Research Group, Software Engineers and Product and DevOps to develop and productionize new AI-driven capabilities into existing and new Upwind products.
- Collaborate with the Threat Team to develop AI-driven threat detections against emerging attack vectors and novel AI threats.
- 4+ years in software engineering. Golang/Java is an advantage.
- 2+ years in the field of ML/AI engineering or science with proven products; cybersecurity experience is an advantage.
- Significant experience leading AI/ML engineering teams, preferably with a background in security or complex data environments.
- Hands-on experience with LLMs, agentic frameworks, and building internal ML platforms.
