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 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 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 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.

This role executes complex coding and GenAI data projects for enterprise AI clients. It combines technical planning, code-quality protocols, delivery operations, applied AI experimentation, and evaluation-oriented project execution.

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 builds AI-powered systems that automate healthcare business workflows. It emphasizes agentic coding with tools such as Claude Code, OpenAI Codex, or OpenCode, plus production LLM apps and workflow automation.

This role leads Uber's AI-powered developer tooling strategy, building systems that embed intelligence across ideation, coding, testing, deployment, observability, and agentic AI product prototyping.

This role builds Roblox's code intelligence platform for agentic software engineering. It focuses on reasoning layers, first-party coding agents, human-in-the-loop gates, agent evaluation, and code-specific model optimization.