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AI Engineer: Build Agentic Security Tools

Konvu

Paris

Sur place

EUR 70 000 - 90 000

Plein temps

Il y a 3 jours
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Résumé du poste

A tech startup redefining security in Paris is looking for an AI Engineer to design and implement agent-based systems for vulnerability management. The role involves engaging closely with users, rapidly prototyping solutions, and continually improving systems. Candidates should have hands-on experience with LLMs and AI tools, a strong foundation in software engineering, and a commitment to making a real-world impact. The company fosters a culture of learning and innovation, offering competitive compensation and equity opportunities.

Prestations

Competitive salary
Equity options
Comprehensive benefits
Culture of learning and sharing

Qualifications

  • Several years of experience as a software or product engineer.
  • Hands-on experience building with LLMs and AI tools.
  • Experience creating agents or agent-like systems.
  • Strong drive to innovate and explore techniques.
  • Cares about code quality, design, testing, and reliability.
  • Excellent communication in English.
  • Eagerness to work onsite from Paris.

Responsabilités

  • Design and build agentic systems for vulnerability management.
  • Prototype, experiment, and iterate quickly on AI tools.
  • Drive product and technical work end-to-end.
  • Engage with users to improve features.
  • Build reliable and maintainable systems.
  • Explore advancements in agentic systems and LLMs.
  • Contribute to product and technical culture.

Connaissances

Experience as software or product engineer
Hands-on experience with LLMs
Experience building AI agents
Intellectual curiosity
Strong engineering fundamentals
Excellent communication in English
Description du poste
A tech startup redefining security in Paris is looking for an AI Engineer to design and implement agent-based systems for vulnerability management. The role involves engaging closely with users, rapidly prototyping solutions, and continually improving systems. Candidates should have hands-on experience with LLMs and AI tools, a strong foundation in software engineering, and a commitment to making a real-world impact. The company fosters a culture of learning and innovation, offering competitive compensation and equity opportunities.
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