Software Engineer, Frontend

Responsibilities

• Talk directly to customers and partner with product to turn real review workflows into agent capabilities: generating dashboards, writing analysis scripts, and surfacing insights buried in their telemetry.
• Build the frontend surfaces where Sift Agents live, and make them feel great.
• Design the interaction patterns of agentic UX: streaming responses, long-running tasks, interruptions, and showing an agent’s work so engineers can trust it.
• Render an agent’s findings alongside the telemetry that backs them, and keep it fast even when the data is large.
• Push the browser to its limits when the data demands it: Web Workers, OPFS-backed caching, and stepping outside React when the framework becomes the bottleneck.
• Contribute to the component library to keep agentic UI patterns consistent across the product.
• Collaborate with backend and full stack engineers on the API design that powers agent sessions.

Requirements

• 3+ years of professional software engineering experience.
• Get excited about owning a product area: talking to customers, deciding what to build, and shipping it.
• Have built complex, high-performance web applications with technologies like React, NextJS, TypeScript, or similar.
• Have an eye for detail: you notice the micro-interactions, latency, drops in FPS, and polish that separate good interfaces from exceptional ones.
• Are curious about new AI products: you try new agents, models, and features as they ship, and have opinions about what makes them good.

Nice-to-Haves

• Shipped products to users at scale: large data volumes, significant active user counts, or deep technical complexity.
• Shipped LLM-powered features.
• Built chat or agentic interfaces: streaming responses, tool-call rendering, long-running tasks.
• A strong understanding of web performance optimization and browser rendering.
• Worked with modern CSS (Tailwind) and component libraries (Radix UI) to build design systems.
• Used technical visualization tools (WebGL, D3.js, Apache ECharts), WebAssembly, and time-series data.
• Built tools for technical users (dashboards, data-editing environments).
• A personal ecosystem of AI dev tooling: custom agents, skills, scripts, or workflows built to ship faster.
• A background in scientific computing or hardware test and telemetry.

Compensation and Benefits

• Salary range: $160,000 - $200,000 per year.
• Plus equity and benefits.