Staff Platform Engineer, AI Systems

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Platform Engineer, AI Systems based in the United States. You will join a high-velocity, cloud-native engineering environment focused on building the secure foundations for agentic AI systems at scale. The role sits at the intersection of platform engineering, distributed systems, and applied AI infrastructure. You will design and build the connective tissue that enables AI agents to safely interact with production systems. Rather than training models, your focus is on systems design, security, and orchestration of AI-driven workflows. You will help define how autonomous agents authenticate, operate, and remain safely governed in enterprise environments. This is a highly impactful role where your work will shape how AI is integrated across engineering teams and core platforms. You will collaborate closely with senior engineers to drive adoption of “AI-native” development practices across the organization. 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 Health, dental, and vision insurance with employer contributions Short-term and long-term disability coverage and basic life insurance Flexible PTO, sick leave, and parental leave policies Cell phone and internet reimbursement Access to a 401(k) retirement savings plan No trading fees when buying or selling Bitcoin through the platform Flexible, cloud-native engineering culture with modern tooling and infrastructure. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1