Senior Applied AI Developer

Plusgrade Inc.; Montreal; On-site; CAD 120,000 - 180,000; Full time

Benefits offered by this job

RRSP Matching

Comprehensive Health Plans

Flexible Paid Time Off

Travel Experience Perk

Annual Wellness Perk

Commuter Perk

Tenure-Based Work From Anywhere

Parental Leave Top Up

Adventure Pass

Learning Allowance

Job summary

Plusgrade Inc. is seeking a Senior Applied AI Engineer in Montreal to design, deploy, and scale low-latency ML/LLM recommendation pipelines feeding real-time data into core travel apps.

You will own the full ML lifecycle—from architecture to retraining and drift monitoring—using AWS, Kubernetes, and a modern ML stack, collaborating across Product, Operations, and Engineering teams.

Qualifications

• When productionizing ML/LLM pipelines in low-latency, highly available environments.
• Strong software engineering with Python/Java, RESTful APIs, and containerized services on AWS.
• End-to-end ML lifecycle ownership: data pipelines (SQL, PySpark) to CI/CD, MLOps, retraining, drift detection.
• Ability to re-engineer workflows around AI capability with robust MLOps standards.
• You are a self-driven problem solver and clear communicator in cross-functional teams.

Responsibilities

• Design, deploy, and scale low-latency ML/LLM recommendation pipelines.
• Own production-model lifecycle from architecture to automated retraining and drift monitoring.
• Implement CI/CD pipelines in AWS and Kubernetes for production AI systems.
• Collaborate with Product, Operations, and Engineering to translate business problems into AI solutions.
• Ensure observability, reliability, and scalability of AI platforms at scale.

Skills

Python

Java

SQL

PySpark

AWS

Kubernetes

Docker

Snowflake

SnowPark

RedShift

GrowthBook

GitLab

CI/CD

Argo CD

Splunk

DataDog

Tools

AWS

Kubernetes

Docker

Snowflake

GitLab

CI/CD

Argo CD

Splunk

DataDog

Job description

Senior Applied AI Engineer- Montreal Only

Employment Type:

Permanent

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.

Equal Opportunity Statement

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.