Staff Software Engineer (AI/Agentic Systems)

Join our team as a Senior Staff Engineer to lead the design, build, and adoption of AI-powered agentic systems across our Developer Experience platform. This highly technical role will involve owning the end-to-end architecture for AI agents, building an event-driven execution framework, and championing agentic development practices. You will collaborate with engineering teams, security, compliance, and platform governance teams to ensure all agent execution meets enterprise policy requirements.

• Concevoir, construire et adopter des systèmes agentiques alimentés par l'IA sur la plateforme Developer Experience.
• Diriger l'architecture de bout en bout pour la manière dont les agents IA sont construits, gouvernés, déclenchés et observés sur notre plateforme.
• Être le champion interne des pratiques de développement agentique, en collaborant avec les équipes d'ingénierie pour promouvoir Claude Code et les flux de travail assistés par l'IA.
• Production experience building LLM-powered agents — not just prototypes. Must have shipped agentic systems that use tool calling, multi-step orchestration, and human-in-the-loop patterns at scale
• Experience as a technical anchor on cross-functional teams: comfortable influencing without authority, driving alignment across security, compliance, and product stakeholders
• Deep fluency with agentic frameworks and APIs: Claude/Bedrock APIs, Amazon Bedrock Agent Core, LangChain, n8n, or equivalent orchestration platforms
• Prior experience building internal developer platforms, golden-path tooling, or developer experience products is strongly preferred
• Track record of leading technically ambiguous, high-impact projects — from architecture through to production adoption — in a large engineering organization
• Solid understanding of platform-level security for agent systems: scoped IAM/RBAC, execution sandboxing, blast radius containment, and audit trail design
• 10+ years of software engineering experience, with at least 3 years focused on platform engineering, developer tooling, or applied AI/ML systems
• Strong experience with event-driven architectures as the execution backbone for agent triggers: Apache Kafka, AWS EventBridge, or equivalent
• Comfortable across the stack: Python or Go for backend agent services; familiarity with GitHub Actions, ArgoCD, and infrastructure-as-code tooling
• Demonstrated ability to evaluate build vs. buy tradeoffs for AI infrastructure and make architecture decisions that balance velocity with long-term maintainability
• Experience integrating AI tooling into CI/CD pipelines, developer portals (e.g., Backstage), and software delivery workflows
• Strong written and verbal communication skills; ability to translate complex technical concepts for both engineering and leadership audiences