LVT

LVT

Staff ML/LLM Ops Engineer

Seattle, Washington, United States · Staff+ · Full-time

No sponsorship$213k-$272kDetected 9 days ago
Vector DatabasesKubernetesCI/CDAPI DevelopmentMachine LearningComputer VisionLLMsAgentic AILLMOpsMLOpsLangGraphAI OrchestrationResearchLeadershipMentoring

About the role

  • The model portfolio this platform serves spans both the computer-vision models in production today and a growing set of LLM, VLM, and agentic workloads.
  • Bringing those generative workloads under the same lifecycle discipline: serving, version-pinning, evaluation, guardrails, and cost and latency monitoring is a part of this role's scope.
  • This is a senior individual-contributor and technical-leadership role.

Responsibilities

  • LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure.
  • This is your chance to join a cutting-edge team that isn't just watching the world change, but actively building the technology that is changing it.
  • You will partner closely with AI/ML research, the application backend team, and platform and infrastructure teams.
  • You should be equally comfortable discussing model-serving architectures, CI/CD and rollback design, polyglot service contracts, and production observability.
  • Own the model lifecycle end to end: standardized packaging, a model CI/CD path, a serving layer with stable, versioned contracts, automated deployment and rollback, and monitoring and drift detection.
  • Define and own the contract boundary between the model platform and the application backend so engineers integrate against deployed models independently.
  • Strong systems and API design judgment across a polyglot boundary with the operational maturity to own security, observability, and on-call trade-offs.
  • MLOps: Own the model lifecycle end to end: standardized packaging, a model CI/CD path, a serving layer with stable, versioned contracts, automated deployment and rollback, and monitoring and drift detection.
  • Where retrieval or agent orchestration is in play, own the operational seams (vector stores, request tracing) the same way.

Requirements

  • 8+ years of engineering experience with deep ML-infrastructure / MLOps work, including building and operating a model deployment, serving, and monitoring platform in production.
  • A track record of setting technical direction and leveling up engineers (technical leadership
  • formal management not required).
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • MLOps & Platform Experience: 8+ years of engineering experience with deep ML-infrastructure / MLOps work, including building and operating a model deployment, serving, and monitoring platform in production.
  • Technical Leadership: A track record of setting technical direction and leveling up engineers (technical leadership

Nice to have

  • Cloud-native infrastructure (Kubernetes, Argo, or a comparable deployment stack).
  • Experience standing up an ML platform from zero on a team that did not have one.
  • Experience deploying AI models to edge environments (e.g. NVIDIA Jetson or similar).
  • Agentic and generative tooling: LangGraph, MCP frameworks, vector databases, and inference/serving platforms.

Skills

  • LangGraph, MCP frameworks, vector databases, and inference/serving platforms.

Compensation

  • The beginning annual salary range for this role is $213,300 - $272,000 USD and is determined by location, job-related experience, and education/training.

Benefits

  • We invest in our crew's health, families, and financial futures with a benefits package designed to support you inside and outside the office.
  • Full-time benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO.
  • All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Company info

  • Named one of the Financial Times' Fastest Growing Companies 2025 and #10 on the Inc.
  • 5000 Rocky Mountain Regional list for 2025.
  • Innovative Leadership: Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025, and our CTO, Steve Lindsey, was inducted into the Silicon Slopes CTO Hall of Fame in 2024.
  • Product & Software Excellence: We were named one of The Software Report's Top 100 Software Companies of 2023 and are a winner of the Security Today Govies Award for 2025.
  • We are seeking a Staff ML/LLM Ops Engineer to own the model lifecycle as infrastructure that turns the path from research to production into standardized self-serve tooling.
  • LLMOps: Bring LLM, VLM, and agentic workloads under the same platform discipline as the vision models serving with models and prompts version-pinned as deployable, rollback-able artifacts; generative evaluation and regression suites that don't reduce to precision/recall; production guardrails such as input/output filtering and jailbreak and refusal monitoring; and token-level cost and latency observability. Where retrieval or agent orchestration is in play, own the operational seams (vector stores, request tracing) the same way.
  • CI/CD: Make the path from research to production self-serve and safe by encoding the security, observability, and on-call guardrails engineers enforce by hand today, so model owners can ship without lowering the operational bar.
  • API Boundary Ownership: Define and own the contract boundary between the model platform and the application backend so engineers integrate against deployed models independently.

Equal opportunity

  • EQUAL OPPORTUNITY EMPLOYER.
  • Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process, and/or to perform essential job functions, please reach out to your recruiter.

Visa & Work Authorization

  • Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process, and/or to perform essential job functions, please reach out to your recruiter.
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This listing is sourced directly from LVT's careers page and normalized into a canonical job model.