Job Specifications
About Konvu
At Konvu, we’re on a mission to make security invisible, redefining vulnerability management for the agentic world.
As AI begins to generate, test, and deploy code autonomously, legacy security approaches break down. Konvu’s AI agents reason like security engineers: automatically triaging noise, verifying exploitability with evidence, and helping teams focus on what truly matters.
Our agents plug directly into existing scanners and workflows, no rip-and-replace, no new dashboards. We deliver evidence-backed decisions where teams already work, cutting false positives and surfacing exploitable issues with confidence.
Founded by early members of Sqreen (YC W18, acquired by Datadog), we know what it takes to turn deep technical insight into tools developers and security teams actually use.
We’ve raised $5M in Seed funding and are backed by top European and US VCs, as well as leaders from companies like Datadog, GitHub, Docker, Cloudflare, Sumo Logic, and Vanta.
We’re looking for an AI Engineer focused to join us in Paris and play a crucial role in this journey.
What you’ll do
You’ll be at the forefront of designing and building agentic systems that deliver real-world impact to our customers. Your work will directly shape our technology and user experience, ensuring our solutions address meaningful vulnerability management challenges.
We’re hiring across levels: scope and ownership, and title will depend on your experience and projected impact, from intermediate to expert.
Build agentic products that solve real problems: Design and implement AI agents that help teams understand, prioritize, and act on vulnerabilities. You’ll turn ideas into working systems that security and engineering teams actually use.
Ship value fast: Think deeply but act decisively: prototype, experiment, and iterate quickly. You’ll run experiments with agents, learn from failures, refine prompts/tools/context, and ship improvements to users.
Take ownership. Drive key product and technical work end-to-end. From defining the approach, to designing the agent architecture, to getting it running reliably in production.
Stay close to customers: Engage with users regularly (Slack, calls) to see how they use what you’ve built, where agents help, where they fail, and what needs to be improved. Then turn these insights into impactful features.
Design robust architectures: Build systems that exemplify strong engineering principles: clear, reliable, maintainable, and scalable. We prioritize thoughtful design and the practices that make engineering excellent like good tests, fast builds, strong observability, and good operational hygiene.
Leverage cutting‑edge agentic systems: Use modern LLMs, tool-use, planning, and multi-step workflows to build robust agentic vulnerability management capabilities. You’ll constantly explore how to make agents more reliable, controllable, and useful in real-world environments.
Shape our product and technical culture: Contribute your perspective on what to build, how to build it, and how we work as a team. As an early AI-focused engineer, you’ll influence our standards for agent design, evaluation, and safety.
Who you are
Even if you don’t meet every qualification, we encourage you to apply if you’re driven to create real impact.
Several years of experience as a software or product engineer, ideally in startup or fast-moving environments. We’re open from intermediate to expert levels.
Hands-on experience building with LLMs and AI tools, not just reading about them. You’ve wired models into real applications.
You’ve experimented with AI agents: Built agents or agent-like systems (tool-using LLMs, multi-step workflows, planners, etc.) in production, side projects, or open source. You've learned from those experiments.
Intellectual curiosity and a genuine drive to build and innovate. You enjoy exploring new techniques but stay grounded in user value.
Strong engineering fundamentals: you care about code quality, design, testing, and reliability.
Excellent communication in English (our working language).
Eagerness to work onsite from our Paris office.
Our hiring process
30-minute video call with our CEO
1-hour video call with our CTO
Take-home exercise
Onsite interview with the team: 2 hours total
Reference calls
Why Work at Konvu
We’re building AI agents that redefine how security and engineering teams work. We’re assembling a world-class team of builders who want to push what’s possible in security and AI.
Here is what it's like to be working here
Startup principles in action: we’re shaped by YC principles, which means fast iteration, ownership from day one, and solving problems that matter. Whether you’re shipping features or closing customers, you’ll actually see your impact every week.
Globally minded from day one: Konvu was built from both sides of the Atlantic, combining European engineering excellence with American ambition. Our goal is simple: build a product loved by security an