Safe Fleet
Safe Fleet
Safe Fleet develops smart safety technology and equipment for commercial and public-service vehicles. Its products include video and camera systems and collision-avoidance technology, integrated across brands for fleet operators in sectors such as school and transit transportation, emergency services, construction, agriculture, waste and recycling, and trucking. The company’s work centers on helping operators improve vehicle safety and performance for drivers, passengers, and people nearby.

Senior Engineering Manager, AI Product Engineering

Lead AI product development at Safe Fleet, a fleet vehicle safety company. Build production AI solutions and advance AI-native engineering practices.

Description

  • Lead the architecture and delivery of scalable AI features and shared platforms for production use.
  • Apply generative AI, machine learning, deep learning, and computer vision to product challenges.
  • Build solutions with large language models, retrieval-augmented generation, AI agents, workflow orchestration, and traditional machine learning.
  • Create reusable AI architecture patterns and maintain performance, scalability, security, reliability, and cost efficiency.
  • Take a hands-on role in architecture, prototyping, coding, and complex technical problem-solving.
  • Guide adoption of AI-native engineering and agentic software development lifecycle practices.
  • Set up AI-assisted development workflows with coding agents, spec-driven development, and automation.
  • Use AI agents and reusable skills throughout design, implementation, testing, code review, and delivery.
  • Define engineering standards and metrics that raise productivity while preserving quality, security, and maintainability.
  • Lead and coach a team of 4–8 engineers, supporting technical excellence and ongoing improvement.
  • Work with Product Management to turn business needs into technical solutions and delivery plans.
  • Coordinate with engineering teams to add AI capabilities to existing products.
  • Partner with Security, Compliance, and other stakeholders to deploy AI responsibly.

Requirements

  • At least 8 years in software engineering, with strong system design and architecture expertise.
  • At least 3 years leading engineering teams, including experience mentoring technical staff.
  • At least 2 years of hands-on work developing and deploying production AI applications or product features.
  • Strong experience with modern AI platforms and services such as OpenAI, Azure OpenAI, Google Gemini, Claude, or comparable technologies.
  • Sound knowledge of large language models, transformer models, prompt engineering, retrieval-augmented generation, AI agents, and workflow orchestration.
  • Practical data science and machine learning knowledge, including predictive modeling and model evaluation.
  • Hands-on experience with AI coding agents such as Claude Code, GitHub Copilot, or comparable tools.
  • Practical experience with AI-native engineering, spec-driven development, and AI-assisted software workflows, plus knowledge of agentic software development lifecycle practices.
  • Experience building scalable cloud solutions on AWS, Azure, or Google Cloud Platform.
  • Strong technical leadership, communication, and cross-functional collaboration skills.
  • Experience delivering AI-powered features for commercial software products.
  • Experience in computer vision, image or video analytics, deep learning, or predictive machine learning.
  • Experience with local or self-hosted models, Hugging Face, and Model Context Protocol.
  • Experience with AI agent orchestration frameworks and production machine learning pipelines.
  • Experience implementing advanced agentic development workflows, including custom agents, reusable skills, automated verification, and CI/CD integration.
  • Experience building reusable AI platforms or shared AI services.
  • Familiarity with Agile methods and experience in regulated or security-conscious environments.

Benefits

  • 12.5% bonus.
  • An equal opportunity, diverse, and inclusive workplace.
  • Fair and equitable hiring practices.
  • A workplace culture that supports employees in thriving and reaching their full potential.

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