AI Jobs

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 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.

This role works on AI-native vertical SaaS for construction logistics. It is relevant for builders who can deploy practical AI systems into customer operations and translate workflow needs into productized solutions.

This role builds AI growth workflows for internal use and customer-facing productization. It sits between product, growth, and customer success, turning live customer learnings into scalable AI workflow templates and product improvements.

This role builds full-stack features across frontend, backend, and AI layers for an AI agent that runs and grows businesses. The work emphasizes shipping quickly with Next.js, TypeScript, LLMs, multi-agent systems, and AI-native UX.

This role leads software integration and deployment for NODA's autonomous orchestration platform. The work focuses on adapters, interfaces, integrations, deployment tooling, and customer-facing implementation in constrained operational environments.

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 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 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.