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 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 builds the agentic layer of Raspberry's design platform. It includes agent architectures, orchestration, tool abstractions, multi-step creative workflows, and product interfaces that keep designers in control.

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 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 drives enterprise deployments, pilots, and technical discovery for a data and AI security platform. It turns ambiguous data and AI security problems into concrete deployments, integrations, and remediation workflows.

This role is the primary technical contact for enterprise customers adopting CopilotKit's agent-user interaction platform. It includes demos, proof-of-concepts, architecture guidance, debugging sessions, and production readiness support.

This role accelerates product development for an AI-first fintech operating system for SMEs. It translates customer usage insights into shipped features, combining direct customer proximity with full-stack product engineering.

This role embeds with strategic customers to ship advanced AI applications built on Claude. It spans production LLM applications, MCP servers, sub-agents, agent skills, deployment patterns, and enterprise adoption.

This role helps customers unlock value through DevRev's AI-native platform by building agents, automations, integrations, analytics, and custom applications. It is hands-on implementation with product feedback loops.