Find work in Canada.

A simpler way to find your next job.

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 3 mins ago
EN
Principal Wireless SW Engineer
Extreme Networks
Toronto, ON
- Full-time
The Principal Wireless Software Engineer is a senior technical leader responsible for resolving the most complex and business-critical customer issues escalated through the Global Technical…
Added 3 mins ago
HT
Manufacturing Engineer (Contract)
Husky Technologies
Bolton, ON
- Full-time
…safety, ergonomics, cost efficiency, and quality throughout the development…
Added 1 hour ago
C
Senior Accountant, Financial Reporting
CPKC
Calgary, AB
- Full-time
Reporting to the Manager, Complex Accounting, the Senior Accountant, Financial Reporting is responsible for the accounting, analysis, and financial reporting of cash flows, hedging,…
Added 1 hour ago
WI
Director, Geotechnical Engineering Prairies & North
WSP in Canada
Saskatoon, SK
- Full-time
Build, attract, develop, and retain a high-performing, diverse team, strengthening leadership capability, succession planning, and career development.
Added 1 hour ago
WI
Director, Geotechnical Engineering Prairies & North
WSP in Canada
AB · Edmonton, AB
- Full-time
Build, attract, develop, and retain a high-performing, diverse team, strengthening leadership capability, succession planning, and career development.
Added 1 hour ago
MS
Senior Engineer II, Proxy
Menlo Security Inc.
Canada
- Full-time
We're hiring a senior engineer to join the team that owns the ingress proxy service. The proxy is the primary path into the product for most users. As AI adoption grows, our customers want…
Added 2 hours ago
C
Application Programmer
Collabera
Mississauga, ON
- $70 to $80 USD / hour
- Full-time
We are seeking an experienced Senior Forward Deployed Engineer (FDE) with strong expertise in Java, Python, backend/full-stack development, and solution architecture. The ideal candidate…
Added 2 hours ago
GC
Geotechnical Engineer or Engineer-in-Training
Glencore Canada
Elkford, BC
- $91,300 to $126,800 CAD / year
- Full-time
Reporting to the Geotechnical Senior Engineering Supervisor, the Geotechnical Engineer or Engineer-in-Training (EIT) is responsible for pit and spoil slope stability.
Added 2 hours ago
GC
Senior Mineral Processing Engineer
Glencore Canada
Sudbury, ON · Greater Sudbury, ON
- Full-time
XPS is seeking an experienced Senior Mineral Processing Engineer to join the Mineral Processing Group in Sudbury, Ontario. This role is focused on providing technical leadership and…
Added 2 hours ago
LH
Lead Electrical Engineer (P.Eng)– MV/HV
LeadingEdge HR Solutions
Halifax, NS
- Full-time
Our client is seeking an experienced and commercially minded Lead Electrical Engineer / Subject Matter Expert (SME) to lead the development, design, and execution of land-based power…
Added 2 hours ago
AE
Senior Project Manager
Associated Engineering
Vancouver, BC
- Full-time
Associated Engineering, a proudly Canadian, Employee-owned Company is seeking an experienced and dedicated Senior Project Manager to join our team in our Vancouver office.
Added 2 hours ago
DA
Mechanical Engineer
DART Aerospace
Kirkland, QC
- Full-time
We are looking for a Mechanical Engineer to support the design, development, integration and certification of mechanical and structural solutions for rotorcraft mission equipment.
Added 2 hours ago
W
Mechanical Engineer Level I
Worley
Calgary, AB · Edmonton, AB
- Full-time
We are currently seeking a Senior Metallurgical Engineer to join our Canada West Engineering team in either Calgary, Alberta or Edmonton, Alberta. This role is a senior technical authority…
Added 3 hours ago
WN
Senior Mechanical Engineer
W3 North America
Toronto, ON · Greater Toronto and Hamilton Area, ON
- $140,000 to $160,000 CAD / year
- Full-time
…reuse and rainwater harvesting systems. They’re looking for a Senior Mechanical Engineer who wants to take the next step into leading a small engineering…
Added 3 hours ago
ST
Manufacturing Engineer
Sinclair Technologies
Aurora, ON
- $50,000 to $80,000 CAD / year
- Full-time
Lead manufacturing activities for New Product Introduction (NPI), including design for manufacturability (DFM) reviews, process development, tooling and fixture design, work instructions,…
Added 3 hours ago
HT
Manufacturing Engineer (Contract)
Husky Technologies
Bolton, ON
- Full-time
…safety, ergonomics, cost efficiency, and quality throughout the development…
Added 3 hours ago
S
Senior Opto-Mechanical Design Engineer
Sanmina
Ottawa, ON
- Full-time
The Senior Opto-Mechanical Design Engineer, as part of the larger product solutions development team, provides mechanical design support of product development, NPI, and manufacturing of a…
Added 4 hours ago
W
Software Engineer - C++ / Python / Android / Java L1
Wipro
Ottawa, ON
- Full-time
Successful candidates will have opportunities to build expertise in automotive software development, embedded systems, Android-based infotainment platforms, software automation, and…
Added 4 hours ago
I-
Senior Mechanical Building Systems Engineer / Technical Lead
I8IS - Infiniti Software Solutions
Montreal, QC
- Full-time
…environment that challenges your skills, promotes your career development, encourages diversity, rewards innovation, offers a competitive salary, and provides excellent employee programs,…
Added 4 hours ago
KG
Senior Mechanical Engineer
KGS Group
Winnipeg, MB
- Full-time
We are looking for a Senior Mechanical Engineer to join our Mechanical-Industrial Department in our Winnipeg office. In this opportunity, you will have the ability to complete and manage a…
Added 4 hours ago
RG
Senior Civil Engineer - Department Lead
RVI Group Ltd.
Thunder Bay, ON
- Full-time
RVI Group Ltd. is a multidisciplinary engineering firm based in Thunder Bay, Ontario. We are seeking an experienced Senior Civil Engineer to lead and expand our civil engineering…
Added 4 hours ago
X
Senior Software Engineer
Xsolla
Canada
- Full-time
Define and implement best practices for mobile development processes, code review, test strategies and CI/CD process standard.
Added 4 hours ago
Q
Verification Engineer (Engineer–Senior Level)
Qualcomm
Toronto, ON
- Full-time
…create a smarter, connected future for all. As a Qualcomm ASIC Engineer, you will define, model, design (digital and/or analog), optimize, verify, validate, implement, and document IP…
Added 4 hours ago
M
Senior CyberArk Security Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
We are looking for an experienced Senior CyberArk Security Engineer to join our global Privileged Access Management (PAM) Engineering team and help strengthen the security, automation,…
Added 4 hours ago
WI
Junior EIT geotechnical engineering
WSP in Canada
Victoria, BC
- Full-time
…Island and throughout British Columbia. As a Junior Geotechnical Engineer-in-Training (EIT), you'll collaborate with experienced geotechnical professionals on a diverse range of projects…

Guidepoint

Senior AI Engineer

Toronto, ON, Canada

$175,000 - $210,000 CAD · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $175,000 - $210,000 CAD
Job type: Full-time
Apply by: Nov 28, 2026
Experience: 8+ years of software engineering experience, including 3+ years building and operating production AI or LLM-powered products.
Posting language: English
Posted: Oct 29, 2026

Original job description

Overview

Guidepoint is investing in applied AI across its research platform. We are building production AI systems that help research teams interact with our global expert network and proprietary knowledge assets. These systems combine multi-agent workflows, conversational AI, retrieval, and structured data to support reliable, high-quality research experiences.

We are looking for a hands-on Senior AI Engineer to take working prototypes into production and shape the architecture as the product grows. You will have broad ownership across agent design, evaluation, APIs, and cloud deployment, working closely with product, engineering, and compliance stakeholders.

This is a hybrid role based in our Toronto office.

What You’ll Do:

Build multi-agent workflows: Design and ship systems where specialized agents collaborate to complete research tasks, including task planning, tool use, delegation, handoffs, and result synthesis.
Make agent behavior dependable: Enforce permissions, domain rules, workflow boundaries, and output requirements in application code. Design for safe tool use, clear failure handling, and human review when needed.
Own orchestration and state: Build reliable multi-turn workflows with explicit state management, memory and context strategies, timeouts, retries, and recovery from partial failures.
Develop production APIs: Build and maintain Python services and APIs that connect agents to Guidepoint products, internal data, and third-party providers.
Ground responses in trusted data: Build retrieval and search pipelines over large internal knowledge assets. Return structured, traceable results and make it clear which sources support an answer.
Build the evaluation system: Define and maintain evaluations for task success, factual accuracy, groundedness, completeness, policy adherence, latency, and cost. Use representative test sets, regression checks, and production feedback to guide improvements and rollout decisions.
Deploy and operate AI services: Own services from design through production deployment and operations, using containers, Kubernetes, Azure, and Databricks where appropriate.
Tune the full AI pipeline: Select models and tools, engineer context, define structured outputs, and manage tradeoffs among quality, latency, reliability, and cost.
Integrate providers cleanly: Put model, retrieval, and voice providers behind clear interfaces so the system can evolve as products and requirements change.
Set engineering practices: Establish patterns for code review, testing, observability, incident response, and production readiness as the team grows.

What You Have:

8+ years of software engineering experience, including 3+ years building and operating production AI or LLM-powered products.
A Bachelor’s degree in Computer Science, Engineering, or a related technical field with 6+ years of professional experience; or a Master’s degree with 4+ years of professional experience in backend software engineering and Generative AI. This must include a proven track record of designing, building, and scaling distributed, production-grade systems.
Demonstrated experience designing and shipping multi-agent or agentic workflows in production, including orchestration, tool use, state management, and failure handling.
Strong Python skills and experience building production APIs and backend services. TypeScript experience is useful.
Hands-on experience with cloud-native deployment, including containers, Kubernetes, CI/CD, and production observability.
Experience working with Azure and/or Databricks in production environments.
Practical experience with LLM evaluation: creating test sets, measuring quality and accuracy, analyzing failures, and using results to improve systems or gate releases.
Experience with retrieval-augmented generation, embeddings, vector databases, or large-scale search systems.
Understanding of model and workflow risks, including unsupported answers, prompt injection, unsafe tool calls, and data access boundaries - and experience addressing them through system design and code.
Experience operating services with production requirements for reliability, latency, and cost.
Product judgment: you can scope a useful first version, compare approaches with evidence, and ship iteratively.

Nice to Have:

Experience with agent and orchestration frameworks such as LangGraph, LangChain, or similar, along with the judgment to use plain code when it is a better fit.
Experience with Databricks, including its data, machine learning, or deployment workflows.
Real-time or streaming systems experience, such as WebSockets, WebRTC, audio pipelines, or other low-latency services.
Voice AI experience, including telephony platforms, speech-to-text, text-to-speech, turn-taking, or voice-agent frameworks.
Knowledge graphs or large-scale information retrieval experience.
Experience in regulated or compliance-sensitive industries such as healthcare or finance.
Experience with LLM-as-judge methods, human review workflows, or production monitoring for AI quality.

What We Offer:

The annual base salary range for this position is 175,000-210,000. Additionally, this position is eligible for an annual discretionary bonus based on performance.

You will also be eligible for the following benefits:

Paid Time Off
Comprehensive benefits plan
Company RRSP Match
Development opportunities through the LinkedIn Learning platform

About Guidepoint:

Guidepoint powers end-to-end research workflows for the world’s best research teams.

Backed by a global network of more than 2 million experts and over 1,600 employees, Guidepoint delivers real-time access to expertise, primary research, and actionable knowledge that help organizations make informed decisions. Through consultations, surveys, events, proprietary content, and AI-enabled tools, we support every stage of the decision-making process - from developing hypotheses and gathering insights to validating assumptions and building conviction for critical decisions.

At Guidepoint, our success relies on the diversity of our employees, experts, and clients, which enables us to foster meaningful connections and a broad range of perspectives. We are committed to creating an inclusive and welcoming environment where individuals of all backgrounds, identities, and experiences can contribute and succeed.

This job posting is for an existing vacancy. The salary offered will be based on the successful candidate’s skills, experience, qualifications, and location.

Compensation

$175,000 - $210,000 CAD

Apply About employer

More about this job

Responsibilities

Design, build, and operate production AI systems, including multi-agent workflows, reliable orchestration, Python APIs, and retrieval pipelines grounded in trusted data. Establish evaluation and engineering practices, deploy and monitor services in cloud environments, and improve AI quality, reliability, latency, and cost in collaboration with product, engineering, and compliance teams.

Requirements

Requires 8+ years of software engineering experience, including 3+ years building and operating production AI or LLM products, with a relevant bachelor's degree and 6+ years of professional experience or a master's degree and 4+ years. Candidates should have production experience with agentic workflows, Python backend services, cloud-native deployment, Azure and/or Databricks, LLM evaluation, retrieval systems, and designing for reliability, safety, and cost.

Skills

Python
Multi-Agent Workflows
Agent Orchestration
Production APIs
Distributed Systems
LLM Evaluation
Retrieval-Augmented Generation
Vector Databases
Kubernetes
Azure
Databricks
CI/CD
Cloud-Native Deployment
Production Observability
AI Safety and Risk Management
State Management

Benefits

Paid Time Off
Comprehensive Benefits Plan
Company RRSP Match
Development Opportunities Through LinkedIn Learning

Visa sponsorship

Not detected in the job text

Keywords

Python
TypeScript
Generative AI
Large Language Models
Multi-Agent Workflows
Agent Orchestration
LangGraph
LangChain
Retrieval-Augmented Generation
Embeddings
Vector Databases
Information Retrieval
Knowledge Graphs
Azure
Databricks
Kubernetes
Containers
CI/CD
Production APIs
Distributed Systems
LLM Evaluation
LLM-as-Judge
Prompt Injection
Human Review
Observability
WebSockets
WebRTC
Voice AI
Speech-to-Text
Text-to-Speech

Report this job