AI Jobs

This leadership role builds and scales a forward-deployed engineering function for AI solutions. It owns technical strategy, execution, and delivery of complex agentic applications from discovery through production deployment.

This role deploys and integrates an enterprise AI platform into customer environments. It includes customer engagement, environment architecture, data capture pipelines, evaluation frameworks, and production systems for specialized agents.

This role embeds with enterprise customers to deliver agentic voice AI solutions into production. The work includes architecture, implementation, deployment, rollout, and production-grade voice AI systems for real workflows.

This role builds consumer-grade agents for human-AI collaboration. The work sits at the product engineering layer for mobile and computer-use agents, with emphasis on reliable everyday agent experiences.

This foundational role builds agentic AI capabilities and product flows for supplier negotiation and purchasing workflows. The work includes agents for data cleaning, classification, benchmarking, vendor communication, automated purchasing, and decision support.

This role builds the platform layer for an open-source toolkit where agents render React components. The work includes agent analytics, usage dashboards, debugging UI, configuration management, APIs, and data-heavy product experiences.

This early product engineering role owns features across multi-agent systems, LLM orchestration, and customer-facing product experiences. Rhythms builds AI agents that execute operational playbooks and integrate with workplace systems.

This role builds production-grade AI systems and acts as the technical AI counterpart for enterprise customers. The work translates messy enterprise workflows and data silos into agentic solutions with measurable business impact.

This role builds product and platform capabilities for enterprise agents inside OpenAI. It applies models to real workplace problems, prototypes quickly, and turns automation patterns into reliable long-term product experiences.

This role builds product workflows for voice-agent QA, including test creation, scenario management, evaluation results, analytics, debugging, and triage. The product helps teams test and improve production voice agents.