LogoFresh Jobs Ahead
Safe Fleet
Safe Fleet
1.001 – 5.000 Angajați
Sponsor pentru viza H1BAsistență medicalăConstrucțiiIndustria prelucrătoare
Safe Fleet dezvoltă tehnologii inteligente și echipamente de siguranță pentru vehicule comerciale și vehicule ale serviciilor publice. Produsele sale includ sisteme video și camere, precum și tehnologii de evitare a coliziunilor, integrate în mai multe mărci pentru operatorii de flote din domenii precum transportul școlar și public, serviciile de urgență, construcțiile, agricultura, gestionarea deșeurilor și reciclarea, precum și transportul rutier de mărfuri. Activitatea companiei se concentrează pe sprijinirea operatorilor în îmbunătățirea siguranței și performanței vehiculelor, în beneficiul șoferilor, pasagerilor și persoanelor din apropiere.
LinkedIn
Locurile de muncă ale companiei

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.

CACanada
120.000 $ – 140.000 $ / an
HibridNormă întreagăSeniorLimbă Obligatorie: englezăInginer AIInginer de învățare automată
AWSAzureCloudGoogle Cloud PlatformSDLC

Descriere

  • 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.

Cerințe

  • 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.

Beneficii

  • 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.

Locuri de muncă similare