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Added 1 hour ago
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Observability Engineer – Kubernetes Platform
BullTechSystem
Halifax, NS
- Full-time
We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization.
Added 2 hours ago
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Software Engineer - AI/Inference /Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Architect, design, and develop horizontally scalable, containerized, fault-tolerant services on Kubernetes.
Added 3 hours ago
C
AKS Workstream Lead
Capgemini
Mississauga, ON
- $75 to $95 CAD / hour
Kubernetes security, availability, autoscaling, upgrades and DR
Added 4 hours ago
MT
Senior Azure engineer
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
- Full-time
Vacancy Name Senior Azure engineer Vacancy No VN878 Function Syn - Delivery & Operations Work Location Isle of Man or United Kingdom Basis Permanent Full Time/Part Time Full time Employment…
Added 4 hours ago
MT
Senior Infrastructure Engineer (Linux & Cloud Automation)
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
- Full-time
Job Details: Senior Infrastructure Engineer (Linux & Cloud Automation)
Added 5 hours ago
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Cybersecurity Architect
CGI
Mississauga, ON
- Full-time
Assess container, Kubernetes, serverless, and modern application architectures where applicable.
Added 7 hours ago
GD
Software Engineering Developer, DevOps
General Dynamics Missions System International
Ottawa, ON
- $85,000 to $110,000 CAD / year
- Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 7 hours ago
BS
Technical Lead (Full-Stack Engineering & AI)
Brainhunter Systems Ltd
ON · Ontario, Canada
- Contract
We are looking for a hands-on Technical Lead and Senior Full-Stack Engineer who can build across the front end, back end, experience engine, and AI/ML layers and establish the engineering…
Added 8 hours ago
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Infrastructure Engineer
taq
Markham, ON
- Full-time
Infrastructure Engineer responsible for filling a critical gap in managing and securing AWS-focused infrastructure with legacy VMware migration, emphasizing automation, patch management,…
Added 8 hours ago
ZT
Cloud Security Engineer - Advanced
Zebra Technologies
Mississauga, ON · CAN - Mississauga, Canada
- Full-time
Cloud security, architecture, or engineering certifications such as CCSP, CISSP, AWS Security Specialty, Azure Security Engineer, Google Professional Cloud Security Engineer, or equivalent…
Added 9 hours ago
AI
GCP Infrastructure / Cloud SRE Engineer
Apptoza Inc.
Toronto, ON
- Contract
Role: GCP Infrastructure / Cloud SRE Engineer
Added 9 hours ago
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Senior Site Reliability Engineer
E-Solutions
Toronto, ON
- Full-time
The Sr Cloud Engineer/Sr Site Reliability Engineer is a member of Cloud Operations Automation team and responsible for the reliability, security and efficiency of Change Healthcare’s cloud…
Added 9 hours ago
ES
Java Software Engineer
Epsilon Solutions Ltd.
Toronto, ON
- Full-time
Experience with containerization and orchestration technologies such as Docker and Kubernetes.
Added 10 hours ago
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Backend Engineer (Go)
Xsolla
Montreal, QC
- Full-time
Proficient with containerization and orchestration tools: Docker, Kubernetes (K8s), and
Added 10 hours ago
MP
Lead Data Engineer (ITA7)
Municipal Property Assessment Corporation
Pickering, ON
- Full-time
…including PostgreSQL, Redshift, AWS SQS, AWS S3, RabbitMQ, Kubernetes and…
Added 10 hours ago
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Data Engineer
InfoFarm
Engineer, BC
- Full-time
We are looking for a Data Engineer to help design, build, and maintain modern data platforms that power data-driven decision-making. You’ll work closely with senior engineers and business…
Added 10 hours ago
I
Senior Systems Engineer
illumin
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are hiring a Senior Systems Engineer to join our Infrastructure & Operations team. This is a senior, hands-on infrastructure role focused on Linux systems, virtualization, physical and…
Added 10 hours ago
AI
Platform Engineer
Aptino, Inc.
Brampton, ON
- Contract
We are looking for a skilled Oracle EDQ Platform Engineer to lead and support the migration of Oracle Enterprise Data Quality (EDQ) from on-premises environments to Microsoft Azure Cloud.
Added 10 hours ago
Bilingual Senior Specialist, Cloud Infrastructure Operations Engineering
CMHC - SCHL
Ottawa, ON · Toronto, ON · Montreal, QC
Added 10 hours ago
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Senior Applied AI Developer
Plusgrade
Montreal, QC
- Full-time
…retraining, drift monitoring, and CI/CD pipelines in AWS and Kubernetes. Our engineering workflows and delivery pipelines are built directly around cutting-edge AI infrastructure and…
Added 10 hours ago
VN
Rust Backend Developer/Engineer
Vybe Network
Vancouver, BC
- Full-time
Senior Backend Engineer - Blockchain Data Infrastructure
Added 10 hours ago
ZS
GCP Infrastructure & Cloud SRE Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Job Title: GCP Infrastructure & Cloud SRE Engineer
Added 11 hours ago
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Infrastructure DevOps Analyst
Citi
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Senior DevOps Engineer with a strong focus on Python development to join our dynamic Technology team. In this intermediate-level position,…
Added 11 hours ago
M
Full-Stack Software Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
5+ years Full Stack Software Engineer experience
Added 11 hours ago
E
Ingénieur en développement logiciel de tests (SDET)
EXFO
Montreal, QC
- Full-time

Plusgrade

Senior Applied AI Developer

Montreal, QC, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 6, 2026
Posting language: English
Posted: Oct 7, 2026

Original job description

Employment Type

Permanent

Job Description

Senior Applied AI Engineer- Montreal Only

Plusgrade powers revenue engines for over 575 travel partners globally, and we need someone to architect and productionize our next-generation ML and LLM platforms to drive real-time, low-latency recommendation engines at scale.

What You'll Be Doing

You will design, deploy, and scale low-latency ML and LLM recommendation pipelines that feed real-time predictive data into core travel applications. You will own the entire lifecycle of production models, from solution architecture to automated retraining, drift monitoring, and CI/CD pipelines in AWS and Kubernetes. Our engineering workflows and delivery pipelines are built directly around cutting-edge AI infrastructure and automated observability systems to keep mission-critical products running smoothly. Working alongside Product, Operations, and Engineering teams, you will turn complex commercial challenges into high-throughput, production-ready AI solutions.

The Stack

Python

Java
SQL
PySpark
AWS (EKS, SageMaker, Bedrock, Agentcore, DynamoDB, Elasticache, Lambda, LoadBalancer, Glue, Kinesis, S3)
Kubernetes
Docker
Snowflake
SnowPark
RedShift
GrowthBook
GitLab
CI/CD
Argo CD
Splunk
DataDog

What You Bring

You have a proven track record of productionizing, scaling, and monitoring machine learning models and LLM recommendation systems in low-latency, highly available environments.
You master general software engineering principles with Python and Java, building robust RESTful APIs, containerized services with Docker and Kubernetes, and native AWS infrastructure.
You own the entire ML lifecycle end-to-end, from data pipelines with SQL and PySpark to CI/CD, MLOps, model retraining, drift detection, and quality governance.
You've re-engineered software workflows around AI capability, building shared systems and MLOps standards that raise the engineering bar and help your teammates move faster without sacrificing reliability.
You are a self-driven problem solver and clear communicator who thrives in cross-functional settings, debugging complex issues independently and constantly digging into new tech.

Why Plusgrade

Travel is about the moments that make a journey feel personal. At Plusgrade, we build the technology that makes those moments possible, from upgrade offers and loyalty experiences to revenue tools used by 575+ airline, hospitality, cruise, rail, and financial services partners worldwide.

The work is global, complex, and rewarding. You will solve meaningful problems, take ownership from idea to outcome, and work alongside people who are smart, curious, and committed to doing great work.

We also give our teams access to AI tools and the encouragement to use them thoughtfully, to move faster, explore ideas, and build better ways of working.

We trust our teams to do their best work. That means autonomy, flexibility, and room to grow.

Come help us shape the future of travel.

What You'll Love About Us

🏦 RRSP Matching

🏥 Comprehensive Health Plans
📅 Flexible Paid Time Off
✈️ Travel Experience Perk
🧘 Annual Wellness Perk
🚆 Commuter Perk
🌅 Tenure-Based Work From Anywhere Program
🍼 Parental Leave Top Up
🌍 Adventure Pass
🎓 Learning Allowance

Our Process

We believe every candidate deserves a fair, transparent experience, so regardless of outcome, everyone gets feedback.

Our process: Recruiter call → Hiring Manager interview → Final interview.

Plusgrade is an equal-opportunity employer committed to accessible recruitment. We welcome applications from all qualified individuals regardless of gender identity or expression, race, ethnic origin, creed, place of origin, age, sex, marital status, physical or mental disability, sexual orientation, or any other category protected by law. Accommodation is available upon request. We may use AI-assisted tools to help screen and assess applicants for this role. This posting is for an existing vacancy.

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More about this job

Responsibilities

Design, deploy, and scale low-latency machine learning and LLM recommendation pipelines for real-time travel applications. Own production models end to end, including architecture, data pipelines, automated retraining, monitoring, and CI/CD in AWS and Kubernetes.

Requirements

Candidates should have experience productionizing, scaling, and monitoring machine learning models and LLM recommendation systems in low-latency, highly available environments. They should be proficient in Python and Java, AWS, Docker, Kubernetes, SQL, and PySpark, with end-to-end MLOps experience and strong problem-solving and communication skills.

Skills

Machine Learning
Large Language Models
Recommendation Systems
Python
Java
SQL
PySpark
AWS
Kubernetes
Docker
RESTful APIs
MLOps
CI/CD
Model Monitoring
Data Pipelines
Drift Detection

Benefits

RRSP Matching
Comprehensive Health Plans
Flexible Paid Time Off
Travel Experience Perk
Annual Wellness Perk
Commuter Perk
Tenure-Based Work From Anywhere Program
Parental Leave Top-Up
Adventure Pass
Learning Allowance

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Large Language Models
Recommendation Systems
Low-Latency Systems
Real-Time Predictive Data
Python
Java
SQL
PySpark
AWS
Amazon EKS
Amazon SageMaker
Amazon Bedrock
Amazon AgentCore
DynamoDB
ElastiCache
AWS Lambda
AWS Glue
Amazon Kinesis
Amazon S3
Kubernetes
Docker
Snowflake
Snowpark
Amazon Redshift
GrowthBook
GitLab CI/CD
Argo CD
Splunk
Datadog

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