Software Engineer II, Frontend Agentic AI

The Software Engineer II Opportunity

We are looking for a software engineer to build the interfaces people use to work with autonomous AI workers. This is not a dashboard job. Our users chat with agents that run for hours, steer them mid-task, inspect what an agent remembers, approve or reject its actions, and watch it work in real time. 

You will own those surfaces: the chat experience, the memory and context views, the live run timeline, and the approval flows that keep a human in charge. You will define what agentic interfaces look like—because most of the patterns you will ship do not exist yet. This is a senior individual contributor role requiring a minimum of 5 years of relevant experience.

About You

• Proven Product Builder: You have built and shipped products that users love and have seen the direct impact of your work at scale.
• End-to-End Ownership: You take pride in owning projects from initial concept to launch and are comfortable wearing multiple hats to get the job done.
• AI & Tech Innovator: You stay ahead of the curve, eager to explore and implement the latest technologies, particularly in AI and LLM front-end paradigms.
• Collaborative Partner: You thrive in a high-bandwidth team environment and work effortlessly with both technical and non-technical partners.
• Driven & Ambitious: You have a hunger for success and want to build at a fast-growing company with big goals.

What you’ll be doing 

• Build the conversational interface for long-horizon agents: streaming responses, tool calls shown as they happen, pause and interrupt controls, and mid-task steering.
• Design and ship memory management interfaces that let users see what an agent knows, edit or delete memories, and understand what context the agent is using and why.
• Build live agent run views: 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, with clear diffs of what the agent is about to do.
• Build the Worker Builder interface where users design and configure their own digital workers in natural language.
• Manage complex client state for long-running agent sessions: reconnection, optimistic updates, partial results, and failure recovery.
• Create a reusable component library for agentic patterns so every new worker ships with a consistent, polished interface.
• Handle model output honestly in the UI: citations, uncertainty, errors, and empty states that tell the user the truth.
• Work daily with backend and agent engineers to shape the APIs and event streams the interfaces consume.
• Optimize for performance across devices and keep the experience fast while an agent streams thousands of events.

What you’ll bring to the role

• 3+ years of front-end engineering experience with deep expertise in React, TypeScript, and modern state management (hooks, context, state machines).
• Experience building chat, copilot, or other LLM-powered interfaces in production.
• Hands-on experience with real-time UIs: WebSockets, server-sent events, streaming rendering, and reconnection handling.
• Strong product sense and the ability to design interaction patterns where no standard exists yet.
• 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 the experience.

And extra credit if you have experience in any of the following! 

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

(P25691) 

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