AI Platform Engineering Manager

Safe Fleet

Kansas City (MO)

On-site

CAD 150,000 - 170,000

Full time

9 days ago

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Job summary

Safe Fleet is seeking a highly technical Engineering Manager to lead AI-powered feature development across our product portfolio. You will combine software excellence with practical AI expertise and hands-on leadership to drive production-ready AI solutions that deliver measurable value.

You will mentor a team of 4–8 engineers, partner with Product Management to translate requirements into plans, and collaborate with security and compliance to ensure responsible AI deployment across multiple

Qualifications

  • 8+ years of software engineering experience with strong system design and architecture.
  • 3+ years in engineering leadership, mentoring technical teams.
  • 2+ years hands-on experience developing and deploying production AI applications.
  • Experience with modern AI platforms such as OpenAI, Azure OpenAI, Google Gemini or Claude.
  • Knowledge of LLMs, prompt engineering, RAG, AI agents and workflow orchestration.
  • Experience building scalable cloud-based solutions (AWS/Azure/GCP).

Responsibilities

  • Lead architecture, development and delivery of scalable, production-ready AI features.
  • Apply Generative AI, ML, DL, and Computer Vision to product challenges.
  • Develop solutions with LLMs, RAG, AI agents and automation.
  • Establish reusable AI patterns ensuring performance, security and cost efficiency.
  • Contribute to technical architecture, prototyping and coding.

Skills

Software Engineering
AI/ML
Team Leadership
Cloud Platforms
System Design

Tools

AI coding agents
GitHub Copilot
MCP (Model Context Protocol)

Job description

Safe Fleet is seeking a highly technical Engineering Manager to lead AI-powered feature development across our product portfolio. You will combine software excellence with practical AI expertise and hands-on leadership to drive production-ready AI solutions that deliver measurable value.

You will mentor a team of 4–8 engineers, partner with Product Management to translate requirements into plans, and collaborate with security and compliance to ensure responsible AI deployment across multiple

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