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Staff Engineer - AI Agent

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: Fortinet
Full Time position
Listed on 2026-05-09
Job specializations:
  • Software Development
    AI Engineer, Backend Developer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

We are a cybersecurity company building a next-generation AI‑driven operations platform, designed to power complex, high‑stakes workflows. Our product integrates generative AI deeply into real‑time operational environments‑combining reasoning, retrieval, and automation into scalable, trustworthy systems.

About the Role

We're looking for an Applied AI Engineer with strong backend and AI experience who can architect, build, and scale secure, performant systems. You'll work closely with product, AI/ML, and design teams to deliver capabilities that drive investigation speed, streamline operations, and unlock new modes of human‑AI collaboration.

Key Responsibilities Development
  • End‑to‑end ownership of complex system features: from backend services and API design to user‑facing interactions.
  • Architect and implement scalable AI agent and backend systems for high‑volume, real‑time operational workloads.
  • Integrate LLMs and GenAI components into production workflows, including fine‑tuning, prompt orchestration, retrieval pipelines, and evaluation loops.
  • Design and implement robust data flows (e.g., event streams, message queues, job orchestration) to support next‑gen SOC/NOC capabilities.
  • Build resilient real‑time user experiences (e.g., dashboards, streaming data visualization, multi‑user collaboration).
  • Define clear contracts between AI services, backend APIs, and frontend clients.
  • Contribute to trustworthy AI delivery: streaming responses with structured outputs, redaction/guardrails, and human‑in‑the‑loop review.
Collaboration
  • Partner with AI/ML engineers to product ionize models, optimize inference pipelines, and collect feedback signals for iterative improvement.
  • Collaborate with design and frontend engineers to translate complex backend/AI systems into intuitive UIs.
  • Lead technical reviews, and help shape coding standards and architectural patterns.
  • Communicate clearly with both technical and non‑technical stakeholders about trade‑offs, performance, and reliability.
Required Qualifications

Experience

  • Proven track record shipping data‑intensive and AI‑enhanced applications at scale.
  • Experience owning features from system architecture through production delivery.
  • BS: 5+ years in backend or full‑stack systems for high‑availability, security‑sensitive environments OR
  • MS: 3+ years in the same OR
  • PhD: 0+ year in the same

Technical Skills

  • Proficiency with at least one modern backend runtime/language (e.g., Python, Go) and associated frameworks.
  • Strong background in designing APIs (REST/Web Socket/Graph

    QL) and integrating with real‑time/event‑driven systems.
  • Deep understanding of databases and storage paradigms (e.g., Postgres, graph DBs, time‑series stores).
  • Experience with authentication/authorization, session management, and enterprise integrations.
  • Familiarity with distributed systems, scalability, and observability best practices.

AI/ML Integration (Strongly Desired)

  • Hands‑on experience building or integrating AI systems in production.
  • Familiarity with multi‑agent, retrieval‑augmented generation (RAG), prompt engineering, evaluation, and guardrails.
  • Exposure to model fine‑tuning workflows or orchestration frameworks for multi‑tool AI agents.

Frontend (Nice‑to‑Have)

  • Solid proficiency with modern JavaScript/Type Script and a component‑based framework (React or equivalent).
  • Experience building data‑heavy dashboards and visualization for real‑time operations.
  • Understanding of streaming UX patterns (Web Socket/SSE) and responsive design systems.

Communication & Soft Skills

  • Strong problem‑solving skills and attention to detail.
  • Excellent written and verbal communication.
  • Comfortable operating in fast‑moving, ambiguous contexts.
  • Experience working with distributed teams.
Preferred Qualifications
  • Experience with event‑driven architectures, message queues, and background job orchestration.
  • Exposure to graph/time‑series data modeling and visualization.
  • Knowledge of real‑time collaboration systems (presence, concurrency control).
  • Familiarity with SOC/NOC operations workflows, incident management, and observability pipelines.
  • Contributions to open‑source AI/ML tools or backend frameworks.
What We Offer
  • Opportunity to shape the future of AI‑assisted…
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