AI Research Engineer

XBOW-posted 3 months ago

Full-time

11-50 employees

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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.

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.

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.
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.
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.

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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