Software Engineer – AI Systems

🕒 March 19

🇦🇹 Austria – Remote

💵 $100k - $350k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 36%

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Logo of XBOW

XBOW

11 - 50 employees

Founded 2024

🔒 Cybersecurity

🤖 Artificial Intelligence

☁️ SaaS

Cybersecurity • Artificial Intelligence • SaaS

XBOW is an AI-powered penetration testing platform that delivers human-level security testing at machine speed. It utilizes hundreds of specialized AI agents that collaborate to discover, validate, and exploit vulnerabilities autonomously, allowing companies to test their applications rapidly. With a focus on comprehensive coverage and efficiency, XBOW enables continuous security validation for applications, ensuring they remain secure against emerging threats. Its capabilities include testing every endpoint and attack vector, making it a crucial tool for organizations looking to maintain security without the traditional bottlenecks of manual pentesting.

📋 Description

• Design and implement systems coordinating large language models with real-world tasks • Create prompting strategies and build orchestration layers • Deliver production-ready systems in TypeScript • Build LLM-powered software with prompt flows and orchestrations that provide strong performance without false positives • Architect and build a production-grade, testable, maintainable AI-powered software stack • Design experiments and evaluation frameworks for large-scale system performance testing • Conduct data analysis and draw conclusions • Collaborate with AI, Engineering, Security, frontend, and backend teams to create end-to-end systems • Own projects from ideation and experimentation through deployment and production monitoring • Research advances in LLMs to improve system performance and speed

🎯 Requirements

• Strong experience building software around LLMs, including prompting, agentic orchestration, fault-tolerance, and integration of LLM components with hard-coded logic • Strong software engineering skills, including architecting and building reliable, maintainable, production-grade software • Experience with TypeScript or proven ability to learn a new programming language quickly • Strong structured and independently driven problem-solving skills • Ability to work with incomplete information and rapidly test hypotheses • Comfortable in a fast-paced, research-driven startup environment • Eager to own projects and learn as needed • MSc or equivalent or higher in computer science, mathematics, physics, or machine learning • Prior offensive security or security-sector experience (bonus) • Open-source contributions, particularly involving LLM applications or frameworks (bonus) • Strong theoretical background, such as a PhD in machine learning, computer science, or mathematics (bonus) • Startup experience and comfort with ambiguity (bonus)

🏖️ Benefits

• Generous equity package • Career growth and opportunity to shape the role and lead the function • Meaningful work on technically complex challenges • Support to travel to collaborate with colleagues in person • Remote work arrangement

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