Lead AI Product Engineer, AI Agents & Emerging Products is a AI Agent Engineer role (full-time). with System1. in LOS ANGELES, US. Compensation shown: $162K–$243K. Imported listing (source: simplify.jobs). Apply on the employer's site (simplify.jobs).
Imported listing (source: simplify.jobs) · Apply on simplify.jobs
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Imported job description
Sourced from simplify.jobs
System1 is building the next generation of AI agent–powered consumer products and is hiring a Lead AI Product Engineer to design, build, and operate its most ambitious AI agent systems from early prototypes through production. You will own core architecture, reliability, and performance for multi-agent orchestration, agentic coding workflows, and production engineering at consumer scale. This is a hands-on, high-impact role based at System1's Los Angeles (Marina del Rey) headquarters, with employees near offices returning on-site.
Responsibilities
Build and operate multi-agent systems that plan, coordinate, and execute tasks across multiple tools and services to solve real user problems at scale
Implement agentic coding workflows where agents generate code, run tests, create diffs or PRs, and iterate autonomously within guardrails
Design agent orchestration layers (planners, supervisors, evaluators) for task decomposition, retries, and long-running execution
Instrument and monitor agent behavior across success, failure, latency, cost, and human overrides, including agent-to-tool payment flows
Collaborate with Product & Design to translate user problems into shippable agent workflows, iterating quickly on real-world feedback
Requirements
Strong experience building LLM-powered systems in production, including prompt engineering, structured outputs, tool/function calling, and agentic coding workflows
This entry refers to System1, Inc. (NYSE: SST), an AI- and machine-learning-powered responsive acquisition-marketing platform. It operates consumer internet brands in shopping, travel, and search, and helps publishers and advertising partners monetize and optimize high-intent traffic.