LVT

LVT

Senior Software Engineer II, Applied AI

Seattle, Washington, United States · Senior · Full-time

No sponsorship$185k-$232kDetected 33 days ago
TypeScriptPythonNode.jsRailsFull-Stack DevelopmentVector DatabasesAPI DevelopmentMachine LearningLLMsAgentic AILLMOpsLangGraphRoboticsLeadershipCollaboration

About the role

  • It sits directly on top of LVT's perception stack and turns detections into spoken action in the real world.
  • This is a hands-on senior individual-contributor role at the intersection of several functions.
  • Define what "acted correctly" means, instrument it across lighting and scene conditions, and hold the bar as detection types expand.

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.
  • Own GenAI-powered security product from design through production and field iteration including architecture, application code, rollout, monitoring, and the follow-through after launch.
  • Build and own the logic that turns a detection into the right spoken response including orchestration, prompting, voice generation and customization with a product-level evaluation and regression suite that catches false or mistimed talkdowns before they reach the field.
  • Own the false-positive and timing discipline a real-world-actuating system demands.
  • Design and build the services, APIs, and integration code that wrap detection and voice into a product, to LVT's standards for reliability, observability, and operational readiness.
  • 6+ years building and shipping production software, backend or full-stack with strong systems and API design judgment and ownership of services in production.
  • Where our AI platform and data teams build the rails, this role builds the product that rides on them and is accountable for production delivery.

Requirements

  • Bachelor's or Master's in Computer Science, Engineering, or a related field, or equivalent practical experience.

Nice to have

  • Voice / TTS generation and customization at production quality.
  • Agentic and generative tooling: LangGraph, MCP frameworks, vector databases, and inference/serving platforms.
  • Familiarity with edge-to-cloud or IoT systems.
  • Strong Python, plus the application stack in use (e.g. TypeScript/Node)
  • Technical Foundation: Strong Python, plus the application stack in use (e.g. TypeScript/Node)

Compensation

  • The beginning annual salary range for this role is $185,400 - $232,050 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.
  • Your total earning potential is amplified by a bonus structure tied to meeting goals, and you will become an owner from day one through our employee equity program.

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 Senior Software Engineer, Applied AI to own end-to-end delivery of LVT's GenAI-powered security deterrence product.
  • You will own both the GenAI harness and the application code around it, from design through production and iteration.
  • Because this product acts on the physical world, you'll own the precision and safety bar that comes with it.
  • You'll work cross-team with backend and platform engineers, with the ML/LLM Ops platform you deploy against, and directly with the ML engineers who own the detection models, integrating their work into a shipped product and feeding field behavior back to them.
  • You'll also own pragmatic build-versus-buy decisions for this product: when to self-host versus call a managed model, which voice/TTS approach to adopt, and where to draw the line between product-specific code and shared platform capabilities.
  • You should be equally comfortable writing production application code, designing an evaluation harness for a system that must rarely act wrongly, integrating against detection models you don't own, and making a defensible build-versus-buy call under real cost and latency constraints.
  • End-to-End Product Ownership: Own GenAI-powered security product from design through production and field iteration including architecture, application code, rollout, monitoring, and the follow-through after launch.

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.

This listing is sourced directly from LVT's careers page and normalized into a canonical job model.