Loading
Preparing the latest content.
Browse AI Builder jobs by workflow, category, company, location, compensation, remote fit, and engagement type.
No matching in-platform roles. These external opportunities may still be relevant.
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.
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 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.
This role builds product and platform features for realistic voice AI conversations and agentic tasks. It spans TypeScript, React, scalable full-stack systems, developer-facing APIs, and coordination with research and model engineering.
This role owns how AI agents discover, integrate, and work with Reducto's document ingestion platform. It is focused on agent experience, developer-facing integration paths, and making enterprise data usable for AI systems.
This role builds the core product powered by Antimetal's AI agent. The work spans agent orchestration, data pipelines, APIs, user interfaces, and production-ready features from experiments.
This role builds product workflows around AI agents for autonomous enterprise operations across IT, HR, legal, finance, security, and ops tasks. It turns agent capabilities into usable workflow primitives and feedback loops.
This role owns deployment, integration, and ongoing performance of autonomous robotic systems in field environments. It combines customer deployment, system reliability, feedback loops, and operational enablement for real-world autonomy.