AI Endpoint Security Engineer

R

Right Seat

AI Endpoint Security Engineer

San Francisco, CA
Full Time
Paid
  • Responsibilities

    Role Summary  

    We’re hiring an AI Endpoint Security Engineer to architect and deploy intelligent, multi-agent systems for real-time threat detection and response at the edge. You’ll blend applied AI research with production engineering to build and ship user-mode endpoint solutions, orchestrate autonomous agents, and define the roadmap for AI-native cybersecurity. We’re especially interested in engineers who have built agents or modules at leading endpoint security vendors and who thrive in fast, zero-to-one environments. 

     You will lead the design of agentic frameworks (e.g., AutoGen, LangGraph, Semantic Kernel), fine-tune LLMs for security tasks, and stand up low-latency inference for edge deployment. We value candidates who actively use AI today—please share what you’ve built, which services you used, and what you learned. This role emphasizes user-mode endpoint engineering experience (kernel/hypervisor familiarity is a plus, but not the focus). 
     
    If you’re passionate about owning a problem end-to-end, have 1–5 years of formative startup building experience, and want a clear pathway to grow your scope and impact, we’d love to meet you.

    About RightSeat.AI

    RightSeat.AI helps organizations adopt AI responsibly through Strategy & Advisory, AI Workshops, Implementation & Training, AI Talent Solutions, and AI Trust Lab.

    About Our Client

    Our client is a Sequoia-backed cybersecurity startup building an AI-native enterprise security platform. The founding team includes entrepreneurs with multiple successful outcomes and deep pedigree from leading security companies, including pivotal roles in Microsoft’s Security Copilot and Microsoft Defender. They’re now assembling a core R&D team to shape the future of AI-driven cybersecurity—an opportunity to help build a fondational company for the AI era from day one.

    Key Responsibilities

    • Architect agentic AI systems using frameworks such as AutoGen, LangGraph, and Semantic Kernel, and integrate them into endpoint security workflows.
    • Design and ship user-mode endpoint solutions that are resilient, interpretable, and secure; collaborate with product and platform engineering to drive roadmap and release quality.
    • Build multimodal models (vision + language) for autonomous reasoning and secure execution, leveraging Gemini Vision, Phi-Vision, and similar VLMs.
    • Stand up sandboxed desktop environments for LLMs using E2B and related platforms to enable safe tool-use and evaluation.
    • Fine-tune LLMs for structured data extraction, threat detection, and endpoint telemetry analysis; apply Omniparser and custom parsers where appropriate.
    • Engineer scalable data pipelines for ingesting and parsing system logs, telemetry, and visual data; ensure data integrity and lineage.
    • Optimize models for edge with ONNX, TensorRT, and quantization to achieve low-latency, resource-aware inference.
    • Define robust metrics and adversarial testing protocols to evaluate model performance in security-critical environments; champion red-team/blue-team style evaluation.
    • Document learnings and decisions, run design reviews, and uplevel the team through mentorship and technical leadership.

    Required Qualifications

    • 10+ years in machine learning, AI systems, or computer vision, including production deployment experience.
    • Deep expertise in generative models, multimodal architectures, and data-centric AI practices.
    • Hands-on agentic orchestration with platforms/frameworks such as Claude CUA, OpenAI Operator, LangGraph, AutoGen, Semantic Kernel, and E2B Desktop.
    • Proven user-mode endpoint engineering experience (kernel/hypervisor knowledge is a plus).
    • Strong background in endpoint security, telemetry analysis, and edge computing.
    • Proficiency in Python, PyTorch, Hugging Face Transformers, and LangChain (or equivalent toolkits).
    • Experience deploying models to edge environments under performance and security constraints (e.g., ONNX, TensorRT, quantization).
    • Familiarity with secure MLOps, CI/CD, and infrastructure-as-code (e.g., Terraform, Helm, Kubernetes).
    • Actively using AI today in your work; include what you built, the AI services/models you used (e.g., OpenAI, Google, Anthropic, Azure AI), and key lessons learned.
    • Startup builder experience: contributed meaningfully to a startup’s first 1–5 years (0→1 or 1→N); demonstrated ownership, speed, and bias to action.

    Preferred Attributes

    • Entrepreneurial owner who loves building from first principles and shipping iteratively.
    • Clear personal charter/pathway—you know what you want to own and where you want to grow.
    • Mission-driven storyteller who can sell your ideas, energize partners, and rally teams.
    • Strong communicator and cross-functional collaborator; comfortable with ambiguity.
    • Team mentor/technical lead experience; invests in people and culture.
    • Curiosity for agentic safety, evals, and reliability in adversarial settings.

    Preferred Technologies

    • Claude CUA – Autonomous agents with vision and reasoning (trycua.com)
    • OpenAI Operator – LLM-powered automation and orchestration
    • Gemini Vision – Multimodal perception and interaction
    • Microsoft Phi-Vision – Lightweight vision-language models
    • Microsoft Agent Arena – Multi-agent simulation and benchmarking
    • Omniparser – Structured data extraction from unstructured formats
    • E2B Desktop Sandbox – Secure graphical environments for LLMs (GitHub)
    • Plus: AutoGen, LangGraph, Semantic Kernel, LangChain, Hugging Face, ONNX, TensorRT

    Why Join Our Client

    • Founding Role: Help define the future of agentic AI and data-driven security.
    • Mission-Driven: Build AI that protects people and organizations.
    • Elite Team: Collaborate with pioneers from Microsoft, Uber, and ServiceNow.
    • Equity & Impact: Share in the upside of a Sequoia-backed startup.

    Our Client’s Benefits

    Team members enjoy a comprehensive benefits package that supports their well-being and long-term success as part of a venture-backed startup, including health, dental, and vision coverage, plus flexible paid time off to promote a healthy work-life balance.

    Equal Opportunity Employer Statement

    RightSeat.AI and our client are equal opportunity employers. All qualified applicants will receive consideration for employment without regard to any status protected by law.