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Senior AI Infrastructure Engineer 📍 Remote, United States   |    Remote    |   $155,000 to $180,000 + Equity + Benefits   About VideoAmp   VideoAmp is on a mission to create the best employee and workplace experience where people can bring their whole self to work everyday. We believe that accomplishing something great requires a special group of people who work hard, drive results and have a blast while doing it - people who challenge the status quo and embody our values. People who say "I'll find a way" instead of saying "it can't be done." At VideoAmp , we're rebuilding advertising technology and infrastructure so everyone, not just the biggest, can compete.. We do this by enabling companies to execute on business outcomes across their media investment instead of more traditional media metrics. VideoAmp is the software and data solutions company powering the convergence of linear TV and digital video advertising. This enables marketers and content owners to holistically plan, transact, and measure deduplicated audiences across digital video, OTT, connected and linear TV advertising.   The Role   The Senior AI Infrastructure Engineer will serve as a technical cornerstone of VideoAmp's AI Infra team, driving the design and execution of agentic workflow systems that bridge VideoAmp's platform APIs and AI-powered customer experiences. This is a high-impact individual contributor role at the intersection of LLM infrastructure, API design, production reliability, and developer enablement. You will architect and own production-critical systems serving live customers, operate in a rigorous evaluation-driven culture, and help VideoAmp safely scale its agentic platform to direct enterprise consumers.   What You'll Do   The AI Infrastructure team owns the production-critical stack that powers VideoAmp's agentic experiences. At the core, agent runtimes leverage MCP tools and specialized agents to deliver end to end experiences and workflows. A comprehensive observability layer acts as the basis for replay, analysis, and supervised learning. Quality is ensured via an evaluation framework that provides automated workflow testing with quality gates wired into release pipelines. The team is actively building the next phases of the platform, including A2A APIs, multi-agent delegation, durable long-running agent task runtimes, reusable skills, workflows, agent memory, and agent knowledge. You will have the opportunity to shape how these systems scale, how they interoperate, and how the next generation of VideoAmp's agentic platform is designed from the ground up.   Key Responsibilities Own multi-tenant tool layers. Design and implement multi-tenant isolation, rate limiting, and caller-attribution systems as direct enterprise customers use MCP tools. Extend A2A interfaces and experiences. Enable customer and internal agents to invoke other agents in support of new initiatives. Build and own durable agent runtimes, including long-running execution, task lifecycle management, and failure recovery. Lead evaluation-driven development. Design golden scenario suites, automated CI/CD evaluation pipelines, and regression detection across all workflows. Evaluation is a parallel engineering workstream, not an afterthought. Implement progressive discovery strategies for context, tools, agents, and skills, using deferred loading, search, categorization, and semantic filtering. Design the agent harness and orchestration loop, leveraging isolated context, shared memory, and multi-agent coordination. Drive new agentic capabilities from design to launch for customer experiences, owning production rollouts. Participate in on-call rotation for customer-facing production systems; contribute to incident response, postmortems, and reliability improvements. This team practices full-lifecycle ownership. Partner with internal engineering t