StaffPlatformEngineer,AISystems

## Accountabilities Drive the AI platform vision by translating engineering needs into a cohesive strategy for agentic systems and influencing alignment across technical teams. Build and evolve the internal AI platform by integrating tools such as agents, CLIs, workflows, and runtime systems into a unified and secure layer. Design and implement agentic infrastructure, including internal tool servers, orchestration layers, and secure execution environments for LLM-based systems. Develop IDE-based agents and productivity tools that enhance developer efficiency across the organization. Define tiered autonomy models for AI agents, including safety mechanisms such as verifiable state, rollback, and controlled execution boundaries. Architect authentication, authorization, and zero-trust patterns for agentic systems operating in production environments. Partner with engineering teams to identify inefficiencies and implement AI-driven solutions that reduce manual workload and accelerate delivery. Requirements: Strong systems engineering background with experience across distributed systems, backend infrastructure, and cloud-native architectures. Proven experience working with modern AI patterns such as RAG, function calling, MCP-style architectures, or agent-based systems. Deep understanding of production-grade security principles including least privilege, secrets management, and zero-trust design. Ability to design and build scalable platforms using languages such as C#, Python, or TypeScript in cloud environments. Strong pragmatic mindset with the ability to evaluate when and how to apply AI effectively without overengineering solutions. Excellent communication and stakeholder management skills, with the ability to influence architectural decisions across teams. Ownership mentality with a track record of delivering complex systems independently from design through production. Benefits: Competitive salary package with equity participation in a high-growth environment Heal