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Safe Fleet
Safe Fleet
1001 – 5000 Darbinieki
H1B vīzas sponsorsBūvniecībaRažošanaVeselības aprūpe
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.
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Vakances uzņēmumā

Senior Software Engineer, AI Product Engineering

Build production AI features and services for Safe Fleet’s fleet safety platform. Apply large language models, machine learning, computer vision, and AI agent engineering.

CAKanāda
120 000 $ – 140 000 $ / gads
HibrīdiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuMākslīgā intelekta inženierisMašīnmācīšanās inženieris
AWSAzureGoogle Cloud PlatformMākonisSDLC

Apraksts

  • Design and deliver secure, scalable AI features and shared services for production use.
  • Use generative AI, machine learning, deep learning, and computer vision to address product needs.
  • Create solutions with LLMs, retrieval-augmented generation, AI agents, workflow orchestration, and conventional machine learning.
  • Build backend services and APIs that connect AI capabilities to existing products.
  • Evaluate, monitor, and tune AI systems for reliability, performance, and cost.
  • Help shape reusable AI architecture, prototypes, and production releases.
  • Use AI-native engineering practices across the software development lifecycle.
  • Improve engineering productivity with AI coding agents, spec-driven development, and automation.
  • Build and apply AI agents, reusable skills, and automated workflows for implementation, testing, code review, and delivery.
  • Advance agentic development lifecycle practices while preserving software quality, security, and maintainability.
  • Work with product management and engineering colleagues to turn product needs into technical solutions.
  • Join architecture and design reviews, code reviews, and technical decisions.
  • Mentor engineers and support engineering standards, knowledge sharing, and continuous improvement.
  • Keep up with new AI technologies and AI-native engineering practices.

Prasības

  • At least six years of professional software engineering experience, with strong system design and software architecture skills.
  • Demonstrated experience building and launching AI-powered applications or product features in production.
  • Hands-on expertise with modern AI platforms such as OpenAI, Azure OpenAI, Google Gemini, or Claude.
  • Strong grasp of LLMs, transformer models, prompt engineering, RAG architectures, AI agents, and workflow orchestration.
  • Working knowledge of data science and machine learning fundamentals, including model evaluation and performance.
  • Experience building backend systems, APIs, and scalable cloud solutions on AWS, Azure, or Google Cloud Platform.
  • Proficiency with AI coding tools such as Claude Code, GitHub Copilot, or Cursor.
  • Experience using AI-native engineering methods, including spec-driven development and AI-assisted software workflows.
  • Practical knowledge of agentic software development, including agent-assisted implementation, automated tests, verification, and development automation.
  • Strong problem-solving, communication, and cross-functional collaboration abilities.
  • Preferred: Experience delivering AI features in commercial software products.
  • Preferred: Experience in computer vision, image or video analytics, deep learning, or predictive machine learning.
  • Preferred: Experience with local or self-hosted models, Hugging Face, and the Model Context Protocol (MCP).
  • Preferred: Experience with AI agent orchestration frameworks and production machine learning pipelines.
  • Preferred: Experience creating custom AI coding agents, reusable agent skills, automated verification, and CI/CD integration.
  • Preferred: Experience building reusable AI services or shared AI platforms.
  • Preferred: Familiarity with Agile methods and work in regulated or security-focused environments.

Priekšrocības

  • 12.5% bonus.
  • An equal-opportunity workplace that values diversity and inclusion.
  • Fair and equitable hiring practices.
  • A workplace culture that helps employees thrive and reach their potential.

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