Boosting offensive security with AI
Software Engineer – AI Systems
Location
Europe
Posted
76 days ago
Salary
$150K - $350K / year
Seniority
Senior
Job Description
Software Engineer – AI Systems
XBOW
• 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.
Job 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.
- 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.
Benefits
- 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.
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