AI Engineer – Remote Canada | Visa + Salary Insights

📍 Location: ca

🏷 Type: Not specified

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Job Overview

Senior AI Engineer role at Samsara focused on building and scaling Generative AI systems within the IDEA (Integrations, Data Engineering, and AI) team. The position targets Senior-Level engineers with 5+ years in software engineering and AI product development, including hands-on experience in production-grade AI applications. You will design and deploy end-to-end AI-powered tools using Python, LLMs, and modern agent frameworks, embedding them into enterprise workflows. Ideal candidates are strong in building scalable backend systems, working with cross-functional teams, and delivering real-world AI solutions that improve operational efficiency across global industries.

🌍 Work Eligibility & Location

This is a Remote role based in Canada, designed for distributed collaboration across engineering and product teams. While visa sponsorship is not explicitly mentioned, candidates are expected to already have legal eligibility to work in Canada. The role emphasizes cross-functional communication, making English proficiency essential. The remote structure allows flexibility while maintaining alignment with North American working hours.

💰 Salary Intelligence

This compensation package is competitive for Senior-Level AI Engineers in North America, especially considering the strong equity component and RSU grants. The base salary range of $104,550—$135,300 CAD aligns with mid-to-upper market benchmarks for AI product roles. With additional performance-based equity, total compensation can significantly exceed base expectations, particularly for high-impact engineers building production-grade AI systems.

📊 Role Breakdown

As an AI Engineer IV, you will own the full lifecycle of Generative AI systems, from early-stage ideation to production deployment and continuous optimization. You will design and build LLM-powered applications, integrating them with internal platforms, SaaS tools, and enterprise APIs. A major part of the role involves implementing RAG architectures, working with vector databases, embeddings, and prompt engineering strategies to ensure accuracy and scalability. You will also develop AI agents using frameworks such as LangChain, LangGraph, CrewAI, and LlamaIndex, enabling automation across business workflows. Collaboration is key, as you will partner with engineers, data scientists, and product stakeholders to translate operational needs into AI solutions. Strong emphasis is placed on production readiness, including observability, reliability, testing, and monitoring of AI systems. You will also contribute to SDLC improvements, ensuring AI systems are maintainable and scalable. The role requires hands-on coding in Python and deep familiarity with modern AI infrastructure patterns used in enterprise environments.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a Senior-Level AI engineering role with a significant technical and architectural depth requirement. The hiring bar is high due to the need for 5+ years of software engineering experience and proven ability to ship production-grade GenAI systems. Candidates are expected to compete in a highly selective talent pool, particularly those with prior experience building scalable AI platforms in enterprise environments. Strong system design and production reliability experience are critical differentiators.

🚀 Career Impact

Working at Samsara provides exposure to large-scale IoT + AI systems, with strong brand value in connected operations. Engineers gain deep expertise in production GenAI infrastructure, accelerating career growth into Staff AI Engineer or AI Architect roles. The role offers long-term opportunities in enterprise AI, platform engineering, and applied machine learning across global industries with strong potential for leadership progression in AI teams.

📋 Key Responsibilities

Key responsibilities include building end-to-end AI applications, designing LLM-based systems, and deploying production-ready services using Python. You will architect RAG pipelines, integrate vector databases, and implement scalable API-driven AI services. A major focus is ensuring system reliability through monitoring, logging, and observability frameworks. You will also prototype AI agents using tools like LangChain and LlamaIndex, enabling automation across internal workflows such as HR, finance, and customer support. Collaboration with cross-functional teams will be essential to translate business requirements into technical AI solutions. Additionally, you will optimize model performance, improve prompt engineering strategies, and maintain CI/CD pipelines for AI systems. The role requires continuous experimentation, rapid prototyping, and transitioning prototypes into production-grade applications that scale across global operations with strong emphasis on enterprise reliability and performance optimization.

🎯 Application Strategy

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🧠 Fit & Positioning Analysis

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📅 Application Signals

This role shows high urgency due to demand for production-grade GenAI talent. Competition is very high as global candidates target AI infrastructure roles in top-tier companies. Early application improves visibility, especially for engineers with strong backend and LLM deployment experience.

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✅ Job Source & Verification

This job post is based on an official Samsara engineering listing, a publicly traded company on NYSE (IOT). Information is derived from verified company career documentation and reflects a highly credible enterprise job source. Salary and role details are aligned with the latest posted compensation range and responsibilities as of the most recent update.