AI Jobs

This role leads customer-facing implementation of AI virtual agents and CX automation workflows. The work spans discovery, agent configuration, guardrails, validation, integrations, launch, and post-launch optimization.

This role owns AI-powered product experiences for OpenUp's AI Guide. It focuses on multi-agent architectures, tool orchestration, memory, evaluation infrastructure, RAG grounding, and trustworthy conversational systems.

This early-career engineering role builds AI agents, workflows, internal AI systems, and production LLM-powered tooling for real business use cases. The work emphasizes practical tool integration, safe execution, retrieval, evaluation, and backend delivery.

This role owns the agent-driven app-generation lane for an AI-native consumer platform. It focuses on improving creation quality, reliability, and the technical bar for coding-agent powered experiences.

This engineering role builds production-grade AI agent systems for a creative workflow platform. The work includes multi-step agentic workflows, multi-agent orchestration, memory, context management, HITL feedback, observability, and tool calling.

This role designs, deploys, manages, monitors, and optimizes AI agents across enterprise workflows. It connects agent deployment with enterprise integrations, governance, compliance, feedback loops, and measurable business outcomes.

This role builds, trains, deploys, and operates character AI agents at scale. The work spans training and inference pipelines, agent deployment across social platforms, tooling for creators, and reliability for always-on agent experiences.

This role deploys AI agents that solve contact-center and customer conversation problems. It combines customer-facing technical work, real-world agent implementation, and production deployment for enterprise workflows.

This role builds full-stack product experiences for an AI observability and agent engineering platform. It is suited to builders who can ship product surfaces around AI application testing, monitoring, and reliability.

This role owns AI agent infrastructure and automation for GTM teams. It focuses on multi-agent architectures, LLM integrations, backend services, third-party data connections, and production systems used by business teams.