Senior Frontend Engineer - GenAI

Fortinet Inc•Sunnyvale, CA

27d•$160,000 - $200,000

About The Position

We're a cybersecurity company building a next-generation generative AI platform used across multiple product surfaces - from analyst workflows to internal operations tools. We're looking for a Senior Frontend Engineer with a strong frontend focus to design, build, and scale intuitive, high-performance experiences for data-heavy, real-time use cases. You'll work across the stack (with emphasis on the web frontend) to turn advanced AI capabilities - reasoning, retrieval, and automation - into trustworthy, efficient user experiences. You'll collaborate closely with design, product, and AI/ML teams to ship features that improve investigation speed, streamline operations, and elevate customer outcomes.

Requirements

5+ years of professional frontend development experience (full-stack a plus)
Track record of shipping complex, data-intensive web applications at scale
Experience operating in high-availability, security-sensitive or support-critical environments
Demonstrated ownership from architecture through delivery
Expert proficiency with modern JavaScript/TypeScript and a component-based web framework (e.g., React)
Experience with server-rendered web apps and routing
Strong grasp of state management patterns (e.g., state containers, signals, or equivalent)
Proficiency with async data fetching and caching for server state (e.g., query/fetch layers)
Advanced CSS skills (responsive layouts, design systems, accessibility)
Experience with real-time transports (e.g., WebSocket, Server-Sent Events) and streaming UX
Git-based workflows and CI/CD; feature flagging and progressive delivery
Comfort with charting/graph visualization libraries and building interactive, drill-down dashboards
Understanding of UX for dense, high-stakes, data-heavy applications
Experience working within and evolving component libraries/design systems
Excellent written and verbal communication
Strong problem-solving skills and attention to detail
Self-directed, collaborative, and comfortable with ambiguity in fast-moving contexts
Experience working with distributed teams
Experience designing APIs (REST/Websocket) and integrating with event streams
Comfort with at least one server runtime/language (e.g. Python, Golang) and data storage paradigm (e.g Postgres, Neo4j)
Understanding of authentication/authorization patterns and session management

Nice To Haves

Built user experiences for generative AI features (assistive workflows, agent-style tool use, or similar)
Understanding of LLM streaming patterns, tool orchestration, and structured outputs (citations, functions)
Familiarity with retrieval-augmented generation, prompt strategies, evaluation, and guardrail techniques
Experience visualizing reasoning traces, tool execution, and confidence signals for user trust
Real-time collaboration (presence, concurrency control, CRDTs/OT)
Graph and time-series data modeling/visualization
Event-driven systems, message queues, background job orchestration
Markdown/rich-text rendering and extensible editor frameworks
Monorepo and micro-service architecture experience
Familiarity with security operations workflows and investigation lifecycles
Understanding of incident management, alert triage, and escalation processes
Awareness of observability and root-cause analysis in distributed systems

Responsibilities

Own end-to-end delivery of user-facing features across investigative, assistive, and summarization surfaces - from proof-of-concept to launch and iteration.
Design interactive dashboards, timelines, and graph/entity views that handle high-volume, streaming data with intuitive drill-downs and filtering.
Build resilient real-time UX (e.g., WebSocket/SSE) and a scalable state architecture for conversations, incidents, and tickets, with reliable cross-view synchronization.
Define clear API/data contracts, contribute to backend endpoints as needed, and integrate enterprise systems (ticketing, knowledge bases, telemetry/observability, workflow tools).
Implement trustworthy AI UX: streaming responses with citations, guardrails/redaction, and human-in-the-loop review; capture feedback to improve prompts and behaviors.
Instrument and improve outcomes - latency, error rates, summary accuracy, and user satisfaction - to reduce time-to-response and time-to-resolution.
Work closely with backend, AI, product and design teams to translate complex requirements into elegant UIs
Mentor engineers, lead design reviews, and evolve coding standards and best practices
Communicate tradeoffs and architecture decisions clearly to technical and non-technical stakeholders

Benefits

A chance to shape the future of AI-assisted cybersecurity and operations at scale
Ownership of significant product surfaces used daily by enterprise customers and internal teams
A collaborative environment with experienced engineers, researchers, and designers
Continuous learning in AI/ML, security, and modern web technologies
Flexible work arrangements and a competitive compensation package
medical
dental
vision
life and disability insurance
401(k)
11 paid holidays
vacation time
sick time
a comprehensive leave program