Senior Software Engineer, Frontend (Agentic AI)
$180,000–$230,000 year
HybridMarina del Rey, California, United States
Job Summary
Talk directly to customers and partner with product to turn real review workflows into agent capabilities, generating dashboards, writing analysis scripts, and surfacing insights from telemetry. Build the frontend surfaces where Sift Agents live, designing interaction patterns for streaming responses, long-running tasks, and interruptions while rendering findings alongside large real-time datasets. Push browser limits using Web Workers, OPFS-backed caching, and stepping outside React when the framework becomes a bottleneck. Collaborate with backend engineers on API design for agent sessions and contribute to the component library for consistent agentic UI patterns.
Required Qualifications
- 8+ 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
- Must be a U.S. citizen, lawful permanent resident, or protected individual such as an asylee or refugee in compliance with ITAR (International Traffic in Arms Regulations) / EAR (Export Administration Regulations) regulations
- Must be able to relocate to LA or work from the San Francisco office
Desired Qualifications
- 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
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