XBOW · 3 months ago
AI Research Engineer
XBOW is a company dedicated to building the future of offensive security with AI technology. The AI Research Engineer will design and implement systems that coordinate large language models with real-world tasks, collaborating with various teams to create novel prompting strategies and production-ready systems.
ComputerNetwork Security
Responsibilities
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
Qualification
Required
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
Preferred
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.
Company
XBOW
XBOW operates autonomously, carrying out commands and analyzing the results to achieve higher-level objectives.
H1B Sponsorship
XBOW has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
Funding
Current Stage
Growth StageTotal Funding
$117MKey Investors
Altimeter CapitalSequoia Capital
2025-06-24Series B· $75M
2025-01-01Series A· $22M
2024-07-16Seed· $20M
Recent News
2025-12-11
2025-11-27
Company data provided by crunchbase