Applied AI Engineer About Bug Bounty SwitzerlandBug Bounty Switzerland 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.The RoleWe'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.What You’ll Do Build AI Systems That Power Enterprise SecurityYou'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 environmentsEvolving our orchestration engine - translating high-level security objectives into concrete, executable test plans and intelligently routing executionDeveloping our adaptive reporting system - creating visually adaptive dashboards that synthesize context with technical findings to deliver actionable insights from engineer to boardBuild AI features that work reliably in production - well-tested, maintainable, and ready for real-world useDrive 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 worksPartner with other engineers, product, and stakeholders to solve customer security testing challenges through technical innovationBuild and maintain backend systems, AI pipelines, and integrations that power our platformBalance rapid 0→1 iteration with the discipline needed for production-grade systemsShip meaningful contributions within your first two weeks, then take on increasingly complex challengesWhat You Bring Must-havesProficiency in large-scale Python software developmentExperience with C# and .NET Core or proven ability to learn a new programming language quicklyPassionate 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 domainsStrong 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 practicesExperience with cloud AI platforms such as Azure AI Foundry or AWS BedrockStrong skills in structured and independently-driven problem-solving. Able to work with incomplete information and rapidly testing hypothesesYou’re able to leverage AI Developer tools such as Copilot or Claude in your daily workflowBSc or higher in computer science, cybersecurity math, physics or other related engineering fieldLanguage requirements: English required; German a plus Strong signalsExperience in cybersecurity or related industriesExperience in a growth stage startup and comfort with ambiguityPrior development experience within large-scale or multi-tenant SaaS applications.Experience with Durable Execution (Durable Functions, Prefect, Temporal)Built AI-native interfaces using MCP apps, CopilotKit, AG-UI, or similar frameworksFamiliarity with frameworks like Agent Framework, AutoGen, or Semantic Kernel for agentic orchestrationExperience in secure tool usage, and (human) feedback loops for autonomous agentsComprehensive understanding of various database technologies, including relational and non-relational systemsFamiliarity with Azure services and deployment practicesFamiliarity with CI/CD, DevOps, and infrastructure best practices Reporting & CompensationReports to: CTOCompensation: Competitive base + ESOP, aligned with seniority and impactWork setup: Hybrid (Zurich/Bern) Why This RoleWe've built the foundation - a security testing platform with a proven orchestration engine, customer traction, and a clear product vision. What we need now is the AI engineering muscle to turn that foundation into intelligence: systems that remember context, reason about security objectives, and adapt how they communicate findings.This role has leverage because security testing has always required human expertise to scope, interpret, and operationalize - until now. We're at the intersection of two realities: enterprises desperately need scalable security testing, and AI has finally reached the reliability threshold to deliver it end-to-end. You'll architect the intelligence that handles the complete workflow: translating business objectives into scoped test plans, orchestrating execution, and communicating findings that drive remediation decisions from engineer to board.Your work unlocks what enterprises can't achieve today: continuous, intelligent security testing that scales with their environment, not their headcount.