AI Engineer (LLM & Cloud) – Remote Canada | Visa + Salary Insights

📍 Location: ca

🏷 Type: Full-time

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Job Overview

This role is for a Senior-Level AI Engineer within Flight Centre Travel Group’s AI Center of Excellence, focused on building production-grade AI systems powered by large language models (LLMs). The position centers on designing scalable NLP, conversational AI, and automation solutions that improve global travel operations and customer experience. Ideal candidates are strong Python engineers with deep applied machine learning experience, especially in LLM integration, cloud deployment, and API-driven architectures. You will operate in a fast-paced, product-driven environment with high autonomy and global impact.

📅 Job Timeline & Status

This is a mid-to-late hiring cycle role with a clearly defined deadline, indicating structured recruitment rather than early exploratory hiring. Given the presence of a fixed closing date and global remote scope, competition is expected to be high. Candidates should apply immediately, as AI engineering roles at enterprise scale typically attract large volumes of global applicants before deadlines close.

🌍 Work Eligibility & Location

This is a fully Remote position based in Canada with strong bilingual requirements. While visa sponsorship is not explicitly confirmed, the company operates globally and may accommodate international candidates depending on compliance needs. The French/English bilingual requirement significantly influences eligibility, especially for collaboration with distributed teams across North America and Europe.

💰 Salary Intelligence

The compensation is competitive for a Senior-Level AI engineering role, particularly given the focus on LLM systems and cloud deployment. While base salary is slightly below top-tier US tech companies, Flight Centre offsets this with strong benefits, travel perks, equity programs, and global mobility opportunities.

📊 Role Breakdown

This role focuses on building scalable AI systems powered by LLMs, with heavy emphasis on production deployment rather than research experimentation. You will spend approximately 40% of your time designing and optimizing NLP pipelines, 25% integrating LLM APIs across enterprise platforms, 20% developing cloud-native AI services using Azure, and 15% on experimentation and performance tuning. A strong engineering foundation in Python is essential, as you will build production-grade APIs and services supporting real-time AI workflows. The role also involves working with LangChain-style orchestration, prompt engineering, and evaluation pipelines for conversational AI systems. Collaboration is central, requiring close coordination with product, data, and DevOps teams to ensure reliability, scalability, and safety of deployed models. You will also be responsible for monitoring model drift, conducting error analysis, and improving system performance through iterative deployment cycles.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a High-difficulty role due to its combination of LLM engineering, production cloud systems, and enterprise-scale deployment requirements. Candidates are expected to have strong architectural thinking, not just model-building ability. Competition is intensified by remote accessibility and the growing demand for LLM engineers globally.

🚀 Career Impact

This role offers strong career acceleration for engineers moving into enterprise AI architecture. Exposure to global-scale systems, LLM orchestration, and cloud-native AI pipelines positions candidates for high-value future roles in AI platform engineering and leadership tracks.

📋 Key Responsibilities

You will design and deploy LLM-powered applications that support customer service automation and internal decision systems. Responsibilities include building scalable APIs using Python, integrating AI services into enterprise platforms, and deploying models using Azure cloud infrastructure. You will also optimize prompt pipelines, manage model evaluation workflows, and ensure production reliability. Additional responsibilities include collaborating with engineering teams to implement CI/CD pipelines, monitoring system performance, and improving AI accuracy through iterative testing and data refinement. A strong focus is placed on ensuring systems are robust, scalable, and aligned with business needs across global operations.

🎯 Application Strategy

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🧠 Fit & Positioning Analysis

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📅 Application Signals

This role shows strong application urgency due to a fixed deadline of 03 July 2026. Given global accessibility and LLM engineering demand, expect high competition within the first application wave. Hiring is likely structured with fast screening cycles, meaning shortlisted candidates may be contacted within 1–3 weeks. Because of the defined timeline and enterprise scope, applicants should assume applications may close without notice if volume is reached early.

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✅ Job Source & Verification

This listing is sourced from Flight Centre Travel Group’s official careers platform, a high-credibility enterprise employer source with global hiring standards. Details including salary range, responsibilities, and deadlines are directly extracted from the official posting. Last updated and verified on 16 June 2026 based on current listing availability. Information should be considered reliable for application purposes.