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Build the future of offensive security with XBOW. Attackers are already using AI to move faster than defenders can react—we’re creating the platform that puts security ahead in the arms race. Our AI-powered system autonomously discovers, validates, and even exploits vulnerabilities, giving organizations proof-backed results in hours instead of weeks. We’re looking for an AI Research Engineer with deep expertise in LLM prompting, orchestration, and software engineering. In this role, you’ll design and implement systems that coordinate large language models with real-world tasks, advancing the intelligence at the heart of our platform. You’ll collaborate with our AI, Engineering and Security teams to create novel prompting strategies, build orchestration layers, and deliver production-ready systems in TypeScript. This role is for someone who thrives in a fast-moving, research-driven environment and enjoys turning ambiguous ideas into robust, scalable solutions.
Job Responsibility:
Build LLM-powered software that actually works, by designing prompt flows and orchestrations that ensures great performance with no false positives
Architect and build an AI-powered software stack that is production-grade, testable and maintainable
Design and build experiments and evaluation frameworks for performance testing of the system at scale. Conduct data analysis to draw conclusions
Collaborate with the rest of the AI team, with security experts, and both frontend and backend developers to create end-to-end systems that work and customers love
Own projects end-to-end: from basic ideation and experimentation to deployment and production monitoring
Continuously conduct research on how to harness the advancements in LLMs to make our system better and faster
Requirements:
Strong experience with building software around LLMs: prompting, agentic orchestration, fault-tolerance, and integration of LLM parts with hard-coded logic
Strong software engineering skills: architecting and building production-grade software that runs reliably and can be maintained
Experience with TypeScript or proven ability to learn a new programming language quickly
Strong skills in structured and independently-driven problem-solving. Able to work with incomplete information and rapidly testing hypotheses
Comfortable with an energetic environment that mixes the fast-paced agile prioritisation of a startup with the curiosity mentality of a research lab
Eager to own projects and jump into the deep end, learning as you go. Curious, adaptable and collaborative
MSc or equivalent or higher in computer science, math, physics or machine learning
Nice to have:
Prior experience with the security sector, especially involving offensive security and/or applying LLMs in a security context
Contributions to open-source software, particularly within applications of or frameworks for LLMs
Strong theoretical background, e.g. a Ph.D in machine learning, computer science or math
Startup experience and comfort with ambiguity
What we offer:
Competitive salary and a generous equity package, making you a true owner of the company
Shape your role, lead the function, and grow with the company as we redefine cybersecurity
You will tackle technically complex challenges and play a pivotal role in the growth of our business, working alongside an amazing team and some of the world’s experts to shape how AI transforms cybersecurity