Applied AI EngineerSignalFisher · Zürich/Bern

Applied AI Engineer

🗓️ Posted 2026-02-19 Zürich/Bern Fulltime Hybrid ICT
💰 Salary Not shared 📊 Market 8,500 CHF–12,500 CHF/mo

About the Company

ABOUT SIGNALFISHER SignalFisher is the leading Security Testing Hyperscaler. With our Cyber Resilience Platform, we help regulated enterprises in financial services, critical infrastructure, and government stay ahead of evolving threats. We're headquartered in Switzerland, trusted by some of the most security-conscious organisations in Europe, and scaling fast.

About the Role

We're building the operating system for enterprise security testing - a platform that turns security objectives into executable plans and translates findings into actionable insights. We have the vision and engineering foundation. Now we need an Applied AI Engineer to architect the intelligence layer that makes it real. You'll own the AI capabilities that define how our platform thinks: memory systems that maintain context, orchestration logic that translates intent into action, and adaptive interfaces that serve every audience. You will build production-ready AI systems that solve real security challenges, so that enterprises can continuously test their defenses without exponentially scaling their security teams.

Responsibilities

  • ● BUILD AI SYSTEMS THAT POWER ENTERPRISE SECURITY
  • ● You'll architect and ship production-grade AI features that form the backbone of our security testing platform. This means:
  • ● Building our living semantic digital twin - creating persistent, evolving context that powers comprehensive understanding of enterprise environments
  • ● Evolving our orchestration engine - translating high-level security objectives into concrete, executable test plans and intelligently routing execution
  • ● Developing our adaptive reporting system - creating visually adaptive dashboards that synthesize context with technical findings to deliver actionable insights from engineer to board
  • ● Build AI features that work reliably in production - well-tested, maintainable, and ready for real-world use
  • ● Drive continuous innovation by exploring new LLM capabilities to keep our platform at the cutting edge
  • ● OWN YOUR IMPACT END-TO-END
  • ● You'll work in cross-functional teams with full domain ownership:
  • ● Drive projects from ideation through production: prototype fast, validate assumptions, learn from real usage, and scale what works
  • ● Partner with other engineers, product, and stakeholders to solve customer security testing challenges through technical innovation
  • ● Build and maintain backend systems, AI pipelines, and integrations that power our platform
  • ● Balance rapid 0 1 iteration with the discipline needed for production-grade systems
  • ● Ship meaningful contributions within your first two weeks, then take on increasingly complex challenges
  • ● WHAT YOU BRING
  • ● Proficiency in large-scale Python software development
  • ● Passionate about applying AI to solve meaningful, real-world problems.
  • ● You've shipped and maintained AI/ML systems, not just built prototypes, and ideally in multiple domains
  • ● Strong experience with building software around LLMs: prompting, agentic orchestration, fault-tolerance, and integration of LLM parts with deterministic code.
  • ● Solid understanding of AI safety and alignment principles, including responsible AI development, bias mitigation, and ethical AI practices