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Safe Fleet
Safe Fleet
1 001 – 5 000 Darbuotojai
H1B vizos rėmėjasGamybaStatybaSveikatos priežiūra
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.
LinkedIn
Darbai įmonėje

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.

CAKanada
120 000 $ – 140 000 $ / metai
HibridinisVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųDirbtinio intelekto inžinieriusMašininio mokymosi inžinierius
AWSAzureDebesijaGoogle Cloud PlatformSDLC

Aprašymas

  • 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.

Reikalavimai

  • 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.

Privalumai

  • 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.

Susiję darbai

Mecka

3D Computer Vision Engineer at Mecka (Toronto Hybrid)

Mecka
11 – 50 Darbuotojai
Dirbtinis intelektasĮmonėSaaS
CAKanada
200 000 $ – 230 000 $ / metai
HibridinisVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: anglųKompiuterinės regos inžinieriusMašininio mokymosi inžinierius
C++Python

Lead 3D geometry, temporal filtering, and inverse kinematics for robotics and embodied AI. Help build reliable data infrastructure and quality checks for production systems.

Atidaryti
Xero

Lead AI Workflows Engineer at Xero

Xero
1 001 – 5 000 Darbuotojai
H1B vizos rėmėjasB2BSaaS
CAKanada
240 000 $ – 260 000 $ / metai
HibridinisVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųDirbtinio intelekto inžinieriusMašininio mokymosi inžinierius
DebesijaPythonTypeScript

Lead the design and rollout of agentic AI workflows at Xero, a cloud accounting platform. Connect large language models to enterprise systems and create safe, reusable automation patterns.

Atidaryti
Planitar Inc.

MLOps Engineer

Planitar Inc.
51 – 200 Darbuotojai
Aparatinė įrangaKonsultavimasNekilnojamasis turtas
CAKanada
120 000 $ – 150 000 $ / metai
HibridinisVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: anglųMašininio mokymosi inžinierius
AWSC++DockerLinuxPythonPyTorch

Build and operate the infrastructure used to train, deploy, and monitor Planitar’s floor-plan AI models. Support iGUIDE spatial property technology across desktop software and automated workflows.

Atidaryti
ExaCare AI

Mašininio mokymosi inžinierius „ExaCare AI“ — hibridinis darbas, Torontas

ExaCare AI
51 – 200 Darbuotojai
KonsultavimasLogistikaSveikatos priežiūra
CAKanadaHibridinisVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: anglųMašininio mokymosi inžinierius

Kurk gamybinę ML infrastruktūrą, duomenų srautus ir stebėseną, veikiančius „ExaCare AI“ poūmės priežiūros platformos pagrindu. Padėk sveikatos priežiūros komandoms priimti saugesnius pacientų nukreipimo sprendimus naudodamas patikimas ir lengvai plečiamas mašininio mokymosi sistemas.

Atidaryti