Jobs in Canada

25+ jobs

Save this search

Added 13 mins ago
DevOps Engineer
Infosys
ON
Collaborate with Dev, QA, and Ops teams for seamless releases
Added 43 mins ago
Senior Machine Learning Systems Engineer (CAD)
PointClickCare
Mississauga, ON
Full-time
The Senior Machine Learning Systems Engineer will work closely with the Product and Engineering teams to design, build, and operate the machine learning platform that enables teams across…
Added 58 mins ago
Python Developer
Dexian
Mississauga, ON
Other
Experience with FastAPI, Flask, or similar Python frameworks.
Added 58 mins ago
Technology Lead - Databricks Admin
Infosys
ON
Infosys is seeking an experienced Databricks Administrator with strong expertise in managing, securing, and optimizing Databricks environments on cloud platform: AWS. The ideal candidate…
Added 58 mins ago
Software/Firmware Engineer Intern
Marvell Technology
Toronto, ON · CA-ON - Toronto - TOR
Full-time
challenges with the most outstanding group of collaborators in the industry. Join our team of world-class
Added 58 mins ago
Firmware Engineer Intern
Marvell Technology
Toronto, ON · CA-ON - Toronto - TOR
Full-time
…years, we move, store, process, and secure the world’s data with semiconductor solutions designed…
Added 1 hour ago
Senior Machine Learning Systems Engineer (CAD)
PointClickCare
Mississauga, ON
$154,000 to $193,000 CAD / year
Full-time
The Senior Machine Learning Systems Engineer will work closely with the Product and Engineering teams to design, build, and operate the machine learning platform that enables teams across…
Added 1 hour ago
Sr Software Quality Engineer (AI Focused) : Toronto ON// FTP
AceStack
Toronto, ON
Full-time
5+ years of programming experience with Java, Python, Groovy, or a comparable language.
Added 3 hours ago
Systems Validation Engineer – Data Center GPU
AMD
Markham, ON
$120,800 to $181,200 USD / year
Full-time
As a Systems Validation Engineer within the Datacenter and GPU Accelerated Processing division, you will drive SOC and system/rack level validation, triage and debug for the AMD Data Center…
Added 4 hours ago
Forward Deployed Engineer (FDE) (Mid/Senior Level)
Salesforce Partner Canada
Toronto, ON
Full-time
…You'll work as part of a delivery team, partnering closely with a Deployment Strategist (Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption) to…
Added 4 hours ago
Principal AI/ML Engineer
lululemon
Vancouver, BC
Full-time
…platforms and services that enable the enterprise to operate with intelligence at scale. The team leads the design and delivery of a trusted unified data foundation, AI-driven data…
Added 4 hours ago
AI/ML Engineer
lululemon
Vancouver, BC
Full-time
As an AI/ML Engineer, you will contribute to the design and implementation of AI/ML systems across the full model lifecycle from dataset curation, feature engineering, and model training…
Added 5 hours ago
Senior Software Developer - Full Stack [CONSUMER]
HelloFresh
Toronto, ON
We are looking for an engineer to help implement solutions & write beautiful code, working with various team members as we build out our consumer facing applications & the infrastructure…
Added 5 hours ago
Senior Security Engineer
PheedLoop
Toronto, ON
Full-time
Comfort in modern stacks like Python / Django, React, and AWS. You don't need to be a senior software engineer, but you can read application code, understand a deployment pipeline, and…
Added 5 hours ago
Full-Stack Web Engineer
White Widget
MB · Back, MB
Full-time
Each engineer in White Widget takes responsibility over their code and projects. We endeavor to create code that’s clean with legibility, reusability, testability, and maintainability in…
Added 5 hours ago
AI / Data Engineer
White Widget
MB · Back, MB
Full-time
Each engineer in White Widget takes responsibility over their code and projects. We endeavor to create code that’s clean with legibility, reusability, testability, and maintainability in…
Added 6 hours ago
Intern, Backend Software Engineer - Team Interstellar - Winter 2027
Capital One
Toronto, ON
Full-time
Experience with backend languages such as Java, TypeScript, or Python.
Added 8 hours ago
Intermediate Software Engineer
AltaML
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
…session, or whatever best demonstrates how you actually work with AI day to…
Added 8 hours ago
Associate Software Engineer (Winter 2027)
AltaML
Toronto, ON
Full-time
As an Associate Software Engineer you’ll play a hands-on role in building and scaling our agentic platform - an intelligent, adaptive system designed to automate workflows and power smarter…
Added 8 hours ago
Responsable Architecte IA (Intelligence Artificielle)
Avanade
Montreal, QC
Full-time
Partner closely with our AI, IoT, and Intelligent Automation team and Solution Architects to translate the customer's business requirements to define AI & IoT value proposition and solution…
Added 8 hours ago
Lead Data Engineer - AI & Machine Learning
Royal Bank of Canada
Toronto, ON
Full-time
Join a high-performing team transforming RBC's Chief Data Office. You will work closely with SMEs, business stakeholders, architects, and senior developers to build and deploy scalable,…
Added 8 hours ago
Test Automation Engineer
Accenture
Mississauga, ON
Full-time
A Technology Analyst/Associate with a passion for quality engineering, automation, and modern software development. You have experience through academic projects, internships, co-op…
Added 8 hours ago
Senior AI Engineer, MapGPT
Jobgether
Canada
Full-time
…technical design and delivery of multi-component AI systems, with responsibility for the quality, reliability, and performance of what reaches customers. The role spans LLM-backed…
Added 9 hours ago
Senior Software Developer - SQL/Python
Royal Bank of Canada
Toronto, ON
Full-time
We are seeking an experienced Senior Software Engineer to work within Wealth Management Global IT Data Services Canada - As a Senior Software Engineer, specializing in AI-driven agent…
Added 9 hours ago
Test Automation Engineer
Accenture
Mississauga, ON
Full-time
A Technology Analyst/Associate with a passion for quality engineering, automation, and modern software development. You have experience through academic projects, internships, co-op…

Jobgether

Senior AI Engineer, MapGPT

Canada

Job type: Full-time
Experience: Bachelor's degree in a STEM discipline and at least 5 years of software engineering experience, including production ownership of services, pipelines, or SDKs.
Posting language: English
Posted: Sep 22, 2026

Apply About employer

Applications open in a new tab.

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Engineer, MapGPT based in Canada.

This is a senior engineering role focused on building and operating production-grade AI systems that power location-aware products and intelligent user experiences. You will own the technical design and delivery of multi-component AI systems, with responsibility for the quality, reliability, and performance of what reaches customers. The role spans LLM-backed applications, agent orchestration, evaluation systems, data engineering, model tooling, and distributed infrastructure. You will work across product and engineering teams, moving between problems and technology stacks where your expertise can have the greatest impact. A key focus will be making non-deterministic AI systems measurable, reliable, cost-efficient, and resilient in production. You will also help establish engineering practices around evaluation, feedback loops, tool use, and continuous improvement. This opportunity suits an experienced engineer who is comfortable navigating ambiguous technical challenges while delivering practical, production-ready solutions.

Accountabilities

Own the technical design and delivery of multi-component AI systems, taking accountability for the quality and reliability of production releases.
Define product behavior, establish measurement frameworks, and develop evaluation systems for non-deterministic AI behavior.
Create datasets and evaluation cases using real-world usage data and carefully designed test scenarios, and use regression results to determine whether changes are ready to ship.
Continuously evaluate APIs, SDKs, data representations, and reference applications from the perspective of developers, agents, and end users.
Identify product gaps, including parameter misuse, integration issues, and other recurring failure patterns, and drive corrective actions through implementation.
Own MVP delivery against an agreed technical direction while balancing engineering quality with the need to deliver useful product increments.
Build and maintain data pipelines covering ingestion, conflation, entity resolution, quality checks, and batch and streaming processing.
Evaluate external datasets, models, benchmarks, research, and open-source technologies to determine when to adopt existing solutions versus developing proprietary capabilities.
Design feedback loops that transform product usage and system failures into actionable data and new evaluation cases.
Instrument systems with sufficient context to reproduce failures and use recurring incidents to improve evaluation coverage and product quality.
Design the boundary between AI models and the tools they use, including determining what should be handled by the model versus delegated to external tools.
Build and improve model harnesses and agent orchestration systems while accounting for issues such as stale context, hallucinated arguments, partial success, and unbounded loops.
Optimize systems against latency and cost targets through techniques such as streaming, partial results, caching, model routing, and effective prompt structures.
Build internal engineering tools and harnesses, including CLI and MCP-based tooling where appropriate, and share reusable solutions across teams.
Participate in code and technical design reviews while helping other engineers develop stronger evaluation and AI engineering practices.
Participate in an on-call rotation supporting systems that operate continuously for customers, including occasional response requirements outside standard working hours.

Requirements

Bachelor's degree in a STEM discipline and at least 5 years of software engineering experience, including production ownership of services, pipelines, or SDKs.
At least 2 years of experience shipping LLM-powered features to real users in production environments with customer-facing reliability requirements, error budgets, and on-call responsibilities.
Strong data engineering experience, including SQL and at least one distributed processing framework.
Experience building and operating data pipelines where data accuracy and correctness are critical.
Strong understanding of tool calling and agent orchestration, including common failure modes such as stale context, hallucinated parameters, silent partial success, and runaway execution.
Advanced proficiency in Python or TypeScript and the ability to understand and work with code written in other programming languages.
Direct experience or deep knowledge of designing evaluations for non-deterministic AI systems, including the ability to explain evaluation datasets and the failures they identify.
Familiarity with multiple agent or AI application harnesses and an understanding of their respective strengths and limitations.
Experience diagnosing latency across distributed request paths and optimizing systems for performance.
Strong technical judgment and comfort working through ambiguous or evolving problems.
Ability to identify practical, focused solutions and ship useful increments while longer-term technical approaches are still being defined.
Experience collaborating across engineering and product teams and communicating technical decisions clearly.
Geospatial experience involving routing, geocoding, points of interest, address data, OpenStreetMap, or data conflation is advantageous.
Experience designing public APIs or SDKs, particularly products used by developers without direct interaction with the engineering team, is a plus.
Experience with MCP or similar tool-transport technologies is beneficial.
Experience running AI evaluations in CI, using commercial tools or internally developed harnesses, is advantageous.
Experience in automotive technology, in-vehicle infotainment, CarPlay, or Android Auto is a plus.
Experience with voice technologies such as streaming ASR, TTS, barge-in, endpointing, or wake-word systems is beneficial.
Experience working with constrained compute, offline environments, or intermittent connectivity is advantageous.
Experience taking products through their first external integrations and addressing gaps discovered through real-world customer use is a plus.

Benefits

Remote or hybrid work flexibility, depending on location and applicable office arrangements.
Private health, dental, and income protection coverage designed to complement regional statutory benefits.
Family-care support and maternity and paternity leave policies.
Lifestyle spending account contributions supporting health, wellness, and personal development.
Mental health support for employees and eligible dependents.
Paid time away, company holidays, and generous absence policies.
Dedicated paid volunteering time in addition to standard paid time off.
Opportunity to work on advanced AI systems spanning LLMs, agents, data engineering, evaluation, and location technology.
Exposure to complex, high-scale production systems used by developers, businesses, and end users.
A collaborative environment emphasizing teaching, learning, technical ownership, and continuous improvement.
Opportunity to work with cross-functional teams and contribute to technically challenging AI problems where the optimal solution is still being explored.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply About employer

More about this job

Responsibilities

You will own the technical design and delivery of multi-component AI systems, ensuring their quality, reliability, and performance in production. This includes building data pipelines, developing evaluation frameworks for non-deterministic AI, and optimizing systems for cost and latency.

Requirements

Candidates must have a bachelor's degree in a STEM discipline and at least 5 years of software engineering experience, including 2 years shipping LLM-powered features. Strong proficiency in Python or TypeScript and experience with data engineering and agent orchestration are required.

Skills

Python
TypeScript
LLM
Agent orchestration
Data engineering
SQL
Distributed systems
API design
SDK development
Geospatial data
Machine learning evaluation
CI/CD
Cloud infrastructure
Data pipelines
Technical design

Benefits

Remote or hybrid work flexibility
Private health coverage
Dental coverage
Income protection coverage
Family-care support
Maternity and paternity leave
Lifestyle spending account
Mental health support
Paid time away
Company holidays
Paid volunteering time

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
MapGPT
LLM
Agent Orchestration
Python
TypeScript
Data Engineering
SQL
Distributed Systems
API
SDK
Geospatial
OpenStreetMap
CI/CD
Latency Optimization
Production-grade
Evaluation Systems
Feedback Loops
Entity Resolution
Data Pipelines
MCP
CLI
Software Engineering
STEM
Cloud Infrastructure

Report this job