Software Engineer II, Frontend Agentic AI

Responsibilities

• Build conversational interfaces for long-horizon agents, including streaming responses, tool calls, pause and interrupt controls, and mid-task steering.
• Design and ship memory-management interfaces that let users view, edit, and delete agent memories and understand the context an agent uses.
• Build live agent-run views for plans, steps, artifacts, retries, and results, rendered in real time over WebSockets or server-sent events.
• Build human-in-the-loop approval surfaces for agent actions that write to external systems, including clear diffs of proposed actions.
• Build the Worker Builder interface for designing and configuring digital workers in natural language.
• Manage complex client state for long-running agent sessions, including reconnection, optimistic updates, partial results, and failure recovery.
• Create a reusable component library for agentic interaction patterns.
• Present model output accurately in the UI, including citations, uncertainty, errors, and empty states.
• Collaborate with backend and agent engineers to shape APIs and event streams.
• Optimize performance across devices while agents stream large numbers of events.

Requirements

• At least 3 years of front-end engineering experience; the role requires a minimum of 5 years of relevant experience overall.
• Deep expertise with React, TypeScript, and modern state management, including hooks, context, and state machines.
• Experience building chat, copilot, or other LLM-powered interfaces in production.
• Hands-on experience with real-time UIs, including WebSockets, server-sent events, streaming rendering, and reconnection handling.
• Strong product sense and ability to design interaction patterns where established standards do not exist.
• Experience integrating front ends with LLM APIs and handling streamed, partial, and structured model outputs.
• Experience translating designs into fast, polished, responsive production code.
• Strong communication skills and comfort working directly with users to refine experiences.

Nice-to-haves

• Shipped a chat or agent product used by thousands of users.
• Familiarity with LangChain, LangGraph, or equivalent agent frameworks.
• Experience with AI front-end SDKs such as the Vercel AI SDK.
• Experience with design systems, accessibility standards, and component library ownership.
• Experience visualizing complex processes such as timelines, graphs, or workflow builders.
• Prior experience at a high-growth venture-backed AI or SaaS startup.

Compensation and Benefits

• Annual base salary: $140,000–$192,000 USD for candidates located in the San Francisco Bay Area.
• Equity, where applicable, bonus, health, dental and vision insurance, 401(k), flexible spending account, and paid leave including PTO and parental leave.
• In-person onboarding experience.