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Frontend Engineer II
- Bellevue, Washington, United States
- Bellevue, Washington, United States
À propos
Our agents do far more than provide answers. They execute processes and workflows, streamline HR operations, and deliver employees the help they need instantly and conversationally. By combining Large Language Models (LLMs) with an organization's existing HR technology stack, Cascade agents streamline operations, improve employee experience, and unlock significant cost savings.
Cascade is deployed globally, with users on every continent, and supports multi-lingual workforces. We are proudly backed by Gradient Ventures, Google's AI fund, and trusted by Fortune 100 companies and leading enterprises, many of whom sign multi-year contracts. Founded by two former Microsoft engineers through the MIT Sandbox Innovation program, Cascade is now one of the fastest-growing AI companies in HR technology.
We have an exceptional advising team, including industry leaders such as the former VP of People Ops at Google and former CHRO of Airbnb.
If you like to work at the intersection of AI and cloud, collaborate across the organization, and thrive in a fast-paced startup environment, this role could be a great fit. Everyone joining at this stage will wear multiple hats and work across the product surface.
Role: Frontend Engineer II As a Frontend Engineer II at Cascade, you will design and build the user interfaces that power our AI agent platform for HR automation. You'll shape how employees interact with agents that automate processes like onboarding, open enrollment, leave, and termination— and how HR teams configure, monitor, and scale those agents across the enterprise.
This is a hands-on role where you'll ship production code weekly, take ownership of meaningful product surfaces, and help define how AI agents come to life for tens of thousands of users. You'll work across component systems, application architecture, and real-time interactions, turning product and design intent into polished, performant experiences.
This role is ideal for engineers who enjoy moving fast without cutting corners, care deeply about craft and usability, and want to build interfaces that make complex AI capabilities feel simple and intuitive.
Level and Reporting
This is a mid-level frontend engineering role .
This role reports directly to Cascade's Chief Technical Officer (CTO) .
Location & Work Environment This is a hybrid role based in Bellevue, WA . Candidates in the Greater Seattle area who can commute to our Bellevue office are welcome to apply. We expect team members to work from our office four days per week to foster collaboration, accelerate learning, and build strong team cohesion. In-person time is critical for early-stage engineers to grow quickly, get real-time feedback, and stay aligned with the team.
Compensation & Benefits
Salary range: $130k–$150k base , depending on experience.
Equity: meaningful stock options so you share in Cascade's upside.
Benefits:
Competitive health coverage.
Unlimited PTO, with an emphasis on taking time off to recharge.
Work Authorization
We are not able to sponsor visas for this role at this time.
Candidates must be eligible to work in the United States.
Our Tech Stack You don't need to have used all of these, but you should be excited to work in an environment that looks like this:
Frontend frameworks: React with TypeScript, built on Vite.
Styling & components: SCSS Modules, a shared component library (Storybook for development and documentation).
State & data: TanStack Query for server state, React Router for navigation.
Testing: Vitest, with a focus on behavior-driven coverage.
AI & orchestration: LLM-powered conversational interfaces and real-time agent interactions.
Plus integrations with enterprise HRIS, communication, and workflow tools.
What You'll Do
Design and develop frontend experiences in React for both employees (AI agent interactions) and HR teams (dashboards, workflow automation tools, analytics).
Build scalable, responsive, and accessible UIs that support global enterprise deployments.
Collaborate closely with product, design, and backend engineering to deliver seamless end-to-end workflows.
Collaborate with the AI engineering team to design frontend experiences that surface LLM capabilities intuitively—understanding how models reason, where they excel, and where they need guardrails directly shapes the UIs you'll build.
Leverage AI-powered development tools (e.g., Claude Code, Codex, Cursor) to accelerate your workflow—we believe AI-augmented engineering is the future and practice it internally every day.
Build and maintain reusable component libraries and design systems to accelerate development and ensure consistency across products.
Own frontend reliability for your surfaces, including performance monitoring, accessibility audits, and cross-browser testing.
Iterate quickly in 2-week sprints, balancing speed with long-term maintainability.
Make pragmatic tradeoffs between speed, quality, and scalability as the product and company grow.
Stay ahead of modern frontend trends, adopting new tools and libraries where they add real value.
What You'll Need Minimum Qualifications
3+ years of professional frontend development experience, with deep expertise in React and modern TypeScript.
Strong understanding of frontend architecture, component design, state management, and design systems.
Experience building and consuming component libraries or shared UI packages.
Genuine curiosity about large language models and AI-powered products—you don't need to be an ML engineer, but you should be excited to understand how LLMs work under the hood and how that knowledge informs better user experiences.
Solid understanding of web fundamentals: semantic HTML, CSS layout and responsive design, browser APIs, and accessibility.
Experience working in small, fast-moving teams where engineers own features end to end.
Strong product sense—you think about how something feels for the end user, not just whether it works.
Comfort operating with ambiguity and evolving requirements.
Preferred Qualifications
Active use of AI coding assistants or LLM-based tools in your development workflow, with opinions about what works and what doesn't.
Experience building interfaces for AI-powered or conversational products—chat UIs, streaming responses, agent workflows, or similar.
Experience building enterprise-grade UIs such as dashboards, workflow automation tools, or configuration platforms.
Familiarity with testing frameworks (Vitest, Playwright) and best practices for frontend reliability.
Experience with performance optimization and accessibility in large-scale applications.
Prior experience at a startup or in a high-growth environment.
A track record of taking ownership and driving projects to completion.
Who We're Looking For
A frontend engineer with strong fundamentals and a sharp eye for detail and usability.
Someone who prefers ownership over narrow scope and is comfortable being "on the hook" for what they build.
Genuinely excited about AI as a tool for building software, not just as a product feature—you see LLMs as a force multiplier in your daily engineering work and actively seek ways to integrate them into how you code, debug, and ship.
Product-minded and focused on real customer impact, not just technical correctness.
Pragmatic and detail-oriented, with a bias toward shipping and iterating.
Rigorous in your approach, always aiming for high-quality, maintainable, and scalable code.
A clear communicator who collaborates well across disciplines.
Excited to grow with Cascade and take on increasing responsibility as the company scales.
How We Hire Cascade AI welcomes candidates from all backgrounds. We're committed to building a fair, inclusive hiring process and an environment where people can do their best work.
Here's what you can expect from our hiring process for this role:
Introduction call with a member of the engineering team.
Coding screen focused on practical frontend problems.
Technical interviews exploring how you build, structure, and scale frontend systems.
System design discussion on frontend architecture and component design.
Behavioral conversation with a member of the leadership team.
Final decision and references before we extend an offer.
Timeline & Start Date We're actively interviewing for this role and can move quickly for the right candidate.
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Compétences linguistiques
- English
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