This role builds, tests, and deploys AI agents for enterprise customer experience workflows. The company focuses on agentic models for reliable action-taking enterprise applications.
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This role builds, tests, and deploys AI agents for enterprise customer experience workflows. The company focuses on agentic models for reliable action-taking enterprise applications.
This role leads complex deployments of frontier models for government and public-sector customers. It includes scoping, sequencing, prototyping, building full-stack solutions, and taking deployments from first prototype to stable production.
Reflection
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 builds integrations, automation, and bespoke workflows for an AI-native identity security platform. It splits time between customer-facing deployment, product engineering, and scalable connector or workflow development.
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.
NegotiateAI
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.