Senior Software Engineer, AI Applications
About The Position
Meet the Smart Safety Company At Safe Fleet our name says it all. We make fleet vehicles – and everyone in and around them – safer. Our fleet safety platform brings together best-in-class products, ground-breaking technology, and a 100-year history of fleet know-how and innovation to solve the world’s biggest fleet safety problems. Our core value is safety. Without safety first, efficiency and productivity are not possible. This is true for our products, our culture, and our relationship with our community. Our vision is to reduce preventable deaths and injuries in and around fleet vehicles with a goal of ZERO accidents. We are re-defining what safety means for fleets of every type – from school buses to waste collection trucks, firefighting to utility vehicles, police cruisers to delivery vans. Whether you work in our Charlotte plant to build life-saving stop arms for school buses, or design advanced camera vision products in our Vancouver office, forge valves and high-quality nozzles to fight fires, or dream up new ways to protect fleet operators in our Corporate HQ in Kansas City, you’ll contribute to our goal to keep everyone safe. We are a fast-growing manufacturing, service, and technology company with over 1700 employees in over 15 locations across Canada and the US. We’re looking for motivated self-starters with innovative thinking to join our team and help us achieve our growth and performance goals. Sound like you? JOB SUMMARY We are seeking a highly skilled Senior Software Engineer, AI Applications to design and build scalable AI-powered applications that drive measurable business impact. This role focuses on developing production-grade AI solutions using modern Generative AI platforms and services (e.g., OpenAI, Azure OpenAI, Gemini, Claude, and similar technologies), as well as integrating AI agents, RAG architectures, and workflow automation into real-world systems. The ideal candidate combines strong software engineering fundamentals, architecture and solution design experience, and hands-on expertise in building AI-enabled applications. While the role emphasizes AI application development, a solid understanding of Machine Learning concepts is expected.
Requirements
- 6+ years of software engineering experience with strong system design and architecture skills
- Proven hands-on experience building AI-powered applications in production
- Experience integrating modern GenAI services (e.g., OpenAI, Azure OpenAI, Gemini, Claude)
- Hands-on experience building AI agents and orchestrating tool-based workflows
- Experience using AI-assisted development tools (e.g., GitHub Copilot, Claude Code, Cursor, Antigravity, or similar)
- Strong understanding of Transformer-based models, Prompt engineering, RAG architectures, Model evaluation and performance considerations
- Solid knowledge of Machine Learning fundamentals
- Experience developing backend systems and APIs
- Experience deploying solutions on cloud platforms (Azure, AWS, or GCP)
Nice To Haves
- Experience working with local/self-hosted models and Hugging Face ecosystem
- Experience building or maintaining ML pipelines in production environments
- Experience implementing model evaluation, monitoring, and observability
- Experience in Agile environments (Scrum or Kanban)
Responsibilities
- Design scalable, secure, and maintainable AI application architectures.
- Translate business and product requirements into structured technical solutions.
- Build and deploy AI-powered applications on cloud platforms (Azure, AWS, or GCP).
- Ensure solutions are production-ready, cost-efficient, and aligned with security best practices.
- Contribute to defining reusable AI architecture patterns and engineering standards.
- Build and deploy AI-powered applications using:
- LLM-based services (OpenAI, Azure OpenAI, Gemini, Claude, etc.)
- Retrieval-Augmented Generation (RAG)
- AI agents and tool orchestration frameworks
- Workflow automation and multi-model integration
- Develop robust backend systems and APIs integrating AI capabilities.
- Implement evaluation, monitoring, and performance measurement for AI outputs.
- Contribute to experimentation, prototyping, and production rollouts.
- Partner with Product and other engineering teams to deliver high-impact AI initiatives.
- Contribute to internal knowledge sharing and AI best practices.
- Mentor other engineers where applicable.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
